Constraint logic programming
1990-1999
Formal reasoning, optimisation, and problem structure.
Artificial Intelligence - Autonomous Systems - Humans - Swarm - Trust
ProfessorHussein Abbass
Trusted autonomy research shaped by constraint reasoning, neural networks, swarm intelligence, and human-swarm teaming.
Research evolution
Converging pathways into Trusted Autonomy
Neural networks and evolutionary computation
1997 to now
Adaptive learning, multiobjective search, and machine education.
Swarm intelligence
2003 to now
Distributed behaviour, ant colony optimisation, and shepherding.
Human-swarm teaming
2012 to now
Transparency, trust, shared control, and human-autonomy interaction.
Trusted Autonomy
2014 to now
Ethics, governance, social integration, responsibility, safety, accountability, explainability, test, evaluation, verification, and validation.
Profile
About
Operationalising ethical and trustworthy decentralized human-AI ecosystems.
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I digitally engineer the decentralised human-AI ecosystem with a focus on Human-Swarm Teaming in Safety Critical Domains (particularly, UTM/ATM). As a Full Professor at UNSW Canberra, I provide academic leadership in research, teaching and services. I am a fellow of the Institute of Electrical and Electronics Engineers (FIEEE), Australian Computer Society (FACS), UK Operational Research Society (FORS), the Institute of Managers and Leaders (FIML), and a Graduate Member of the Australian Institute of Company Directors (GAICD). My Erdos Number is 4: Hussein Abbass (coauthored MR3459093 with) Roel Leus (coauthored MR3736150 with) Yves Crama (coauthored MR2372582 with) Alan J. Hoffman (coauthored MR0565328 with) Paul Erdős. I am the Founding Editor-in-Chief of the IEEE Transactions on Artificial Intelligence (IEEE-TAI) and served as the Editor-in-Chief (2020-2024). I was an IEEE Computational Intelligence Society Distinguished Lecturer (2022-2024). I serve as a member of the Proceedings of IEEE Board (2025-now), a Senior Associate Editor for the ACM Computing Surveys (2022-now), as an Associate Editor on a number of journals.
I digitally engineer the decentralised human-AI ecosystem with a focus on Human-Swarm Teaming in Safety Critical Domains (particularly, UTM/ATM). As a Full Professor at UNSW Canberra, I provide academic leadership in research, teaching and services.
I am a fellow of the Institute of Electrical and Electronics Engineers (FIEEE), Australian Computer Society (FACS), UK Operational Research Society (FORS), the Institute of Managers and Leaders (FIML), and a Graduate Member of the Australian Institute of Company Directors (GAICD). My Erdos Number is 4: Hussein Abbass (coauthored MR3459093 with) Roel Leus (coauthored MR3736150 with) Yves Crama (coauthored MR2372582 with) Alan J. Hoffman (coauthored MR0565328 with) Paul Erdős.
I am the Founding Editor-in-Chief of the IEEE Transactions on Artificial Intelligence (IEEE-TAI) and served as the Editor-in-Chief (2020-2024). I was an IEEE Computational Intelligence Society Distinguished Lecturer (2022-2024). I serve as a member of the Proceedings of IEEE Board (2025-now), a Senior Associate Editor for the ACM Computing Surveys (2022-now), as an Associate Editor on a number of journals.Artificial Intelligence - Autonomous Systems - Quantum Computations - Humans - Swarm - Ethics - TrustMR3459093Institute of Electrical and Electronics Engineers (FIEEE)Australian Computer Society (FACS)Operational Research Society (FORS)Institute of Managers and Leaders (FIML)Australian Institute of Company Directors (GAICD)2000 PhD, Computer Science, Queensland University of Technology.1997 M.Sc. Artificial Intelligence, AI Dept., University of Edinburgh, (Awarded best thesis in AI).1995 PhD. Qualifying Exam: Optimisation, Stochastic Processes, Modelling & Simulation, Cairo University1995 Masters by Research, multi-objective constraint logic programming, Dept. of Computer Science, Cairo University1994 BBus, Cairo University1993 Pre-Master, Operations Research, Dept. of Computer Science, Cairo University1992 Post-Graduate Diploma, Operations Research, Dept. of Computer Science, Cairo University1990 BA, Cairo University2017-Now CASA Licensed Remote Pilot2022-2025 Accredited Mental Health First Aider19/06/2020 Expert Witness Training, UNSW Division of Enterprise05/04/2019 Anti-Bribery and Corruption, IEEE Training05/04/2019 Code of Conduct, IEEE Training05/04/2019 Conflicts of Interest, IEEE Training05/04/2019 General Data Protection Regulation (GDPR), IEEE Training05/04/2019 Preventing Discrimination and Harassment, IEEE Training05/04/2019 Sanctions, Embargoes, Export Controls and Anti-Boycott Laws, IEEE Training17/02/2018 Research Integrity Assessment, UNSW2015 Ergonomics, UNSW2012 Australian Research Council (ARC) College of Experts, Grant Assessment Training, ARC, Australia2011 Training your voice, UNSW2011 Graduate Diploma, Australian Institute of Company Directors, Australia2011 Managing Difficult Conversations, UNSW Staff Development2010 Excellence of Research Australia Training, ARC, Australia2010 Media Awareness Training, UNSW Staff Development2008 Leading and Managing Projects Training, UNSW Staff Development2006 Equity Training, UNSW Staff Development2007-Now Professor of Information Technology, UNSW-Canberra, Australia2026 (Feb-Sept) Visiting Professor – Air Traffic Management Research Institute, Nanyang Technological University, Singapore2024-2025 Chair of the Corporate Governance Board, Opulence Institute of Higher Education2021-2022 Acting Deputy Head of School – People, UNSW-Canberra, Australia2014 (Feb-Dec) Visiting Professor – Department of Electrical and Computer Engineering – National University of Singapore, Singapore2013 (Oct) Visiting Professor – National Defence Academy of Japan2006-2010 Director, Defence & Security Applications Research Centre (DSARC), UNSW, Australia2005 Visiting Scholar – Department of General Engineering - University of Illinois – Urbana Champaign, USA2003 John-Yu Visiting Fellow – Department of Computer Science - Imperial College London, UK2000-2007 Lecturer/Senior Lecturer/ Associate Professor, UNSW-Canberra, Australia1994-2000 Lecturer, Dept CS, Cairo University, Egypt1992-1994 IT System Administrator, TV Union, EgyptFellow, Institute of Electrical and Electronics Engineers Awarded in 2020 for contributions to evolutionary learning and optimization.Fellow, Australian Computer Society Awarded in 2008 for professional standing in computing and information technology.Fellow, Operational Research Society Awarded in 2011 for professional standing in operations research and decision science.Fellow, Institute of Managers and Leaders Awarded in 2016 for professional standing in management and leadership.Graduate, Australian Institute of Company Directors Completed in 2011, providing formal grounding in governance and director responsibilities.UNSW John-Yu fellowship to visit Imperial College London, 2003Rank Xerox prize for best Master thesis in AI, Department of Artificial Intelligence, Edinburgh University, UK, 1997Certificate of appreciation, a top student, the day of science, Cairo Uni., Egypt, 1995Prof. Ibrahim Farag prize for the top student in the Operations Research Diploma, Cairo Uni., Egypt, 1992I digitally engineer the decentralised human-AI ecosystem with a focus on Human-Swarm Teaming in Safety Critical Domains (particularly, UTM/ATM). As a Full Professor at UNSW Canberra, I provide academic leadership in research, teaching and services.
I am a fellow of the Institute of Electrical and Electronics Engineers (FIEEE), Australian Computer Society (FACS), UK Operational Research Society (FORS), the Institute of Managers and Leaders (FIML), and a Graduate Member of the Australian Institute of Company Directors (GAICD). My Erdos Number is 4: Hussein Abbass (coauthored MR3459093 with) Roel Leus (coauthored MR3736150 with) Yves Crama (coauthored MR2372582 with) Alan J. Hoffman (coauthored MR0565328 with) Paul Erdős.
I am the Founding Editor-in-Chief of the IEEE Transactions on Artificial Intelligence (IEEE-TAI) and served as the Editor-in-Chief (2020-2024). I was an IEEE Computational Intelligence Society Distinguished Lecturer (2022-2024). I serve as a member of the Proceedings of IEEE Board (2025-now), a Senior Associate Editor for the ACM Computing Surveys (2022-now), as an Associate Editor on a number of journals.Artificial Intelligence - Autonomous Systems - Quantum Computations - Humans - Swarm - Ethics - TrustMR3459093Institute of Electrical and Electronics Engineers (FIEEE)Australian Computer Society (FACS)Operational Research Society (FORS)Institute of Managers and Leaders (FIML)Australian Institute of Company Directors (GAICD)2000 PhD, Computer Science, Queensland University of Technology.1997 M.Sc. Artificial Intelligence, AI Dept., University of Edinburgh, (Awarded best thesis in AI).1995 PhD. Qualifying Exam: Optimisation, Stochastic Processes, Modelling & Simulation, Cairo University1995 Masters by Research, multi-objective constraint logic programming, Dept. of Computer Science, Cairo University1994 BBus, Cairo University1993 Pre-Master, Operations Research, Dept. of Computer Science, Cairo University1992 Post-Graduate Diploma, Operations Research, Dept. of Computer Science, Cairo University1990 BA, Cairo University2017-Now CASA Licensed Remote Pilot2022-2025 Accredited Mental Health First Aider19/06/2020 Expert Witness Training, UNSW Division of Enterprise05/04/2019 Anti-Bribery and Corruption, IEEE Training05/04/2019 Code of Conduct, IEEE Training05/04/2019 Conflicts of Interest, IEEE Training05/04/2019 General Data Protection Regulation (GDPR), IEEE Training05/04/2019 Preventing Discrimination and Harassment, IEEE Training05/04/2019 Sanctions, Embargoes, Export Controls and Anti-Boycott Laws, IEEE Training17/02/2018 Research Integrity Assessment, UNSW2015 Ergonomics, UNSW2012 Australian Research Council (ARC) College of Experts, Grant Assessment Training, ARC, Australia2011 Training your voice, UNSW2011 Graduate Diploma, Australian Institute of Company Directors, Australia2011 Managing Difficult Conversations, UNSW Staff Development2010 Excellence of Research Australia Training, ARC, Australia2010 Media Awareness Training, UNSW Staff Development2008 Leading and Managing Projects Training, UNSW Staff Development2006 Equity Training, UNSW Staff Development2007-Now Professor of Information Technology, UNSW-Canberra, Australia2026 (Feb-Sept) Visiting Professor – Air Traffic Management Research Institute, Nanyang Technological University, Singapore2024-2025 Chair of the Corporate Governance Board, Opulence Institute of Higher Education2021-2022 Acting Deputy Head of School – People, UNSW-Canberra, Australia2014 (Feb-Dec) Visiting Professor – Department of Electrical and Computer Engineering – National University of Singapore, Singapore2013 (Oct) Visiting Professor – National Defence Academy of Japan2006-2010 Director, Defence & Security Applications Research Centre (DSARC), UNSW, Australia2005 Visiting Scholar – Department of General Engineering - University of Illinois – Urbana Champaign, USA2003 John-Yu Visiting Fellow – Department of Computer Science - Imperial College London, UK2000-2007 Lecturer/Senior Lecturer/ Associate Professor, UNSW-Canberra, Australia1994-2000 Lecturer, Dept CS, Cairo University, Egypt1992-1994 IT System Administrator, TV Union, EgyptFellow, Institute of Electrical and Electronics Engineers Awarded in 2020 for contributions to evolutionary learning and optimization.Fellow, Australian Computer Society Awarded in 2008 for professional standing in computing and information technology.Fellow, Operational Research Society Awarded in 2011 for professional standing in operations research and decision science.Fellow, Institute of Managers and Leaders Awarded in 2016 for professional standing in management and leadership.Graduate, Australian Institute of Company Directors Completed in 2011, providing formal grounding in governance and director responsibilities.UNSW John-Yu fellowship to visit Imperial College London, 2003Rank Xerox prize for best Master thesis in AI, Department of Artificial Intelligence, Edinburgh University, UK, 1997Certificate of appreciation, a top student, the day of science, Cairo Uni., Egypt, 1995Prof. Ibrahim Farag prize for the top student in the Operations Research Diploma, Cairo Uni., Egypt, 1992
Research
Publications
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Liu, J., Singh, H., Elsayed, S., Hunjet, R. and Abbass, H. A. (2026) ‘Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments’. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), pp. 116–129. [2026 JIF (2025 JCR): 6.0]
Open publication -
Tolley, H., Sharma, U. and Abbass, H. (2026) ‘Trap Finite State Machines with Delays: Testing and Evaluation Benchmarks with Adjustable Complexity Bricks’. ACM Transactions on Evolutionary Learning and Optimization, 6(3), pp. 1–39. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]
Open publication -
Yaxley, K., Joiner, K. and Abbass, H. (2026) ‘Biologically Inspired Effectiveness Measures for Shepherding-Based guidance Systems’. Adaptive Behavior 34 (2), 95-113. [2026 JIF (2025 JCR): 1.6]
Tang, J., Leu, G. and Abbass, H. (2019) Simulation and computational red teaming for problem solving. John Wiley & Sons.Liu, J., Abbass, H. and Tan, K. (2019) Evolutionary computation and complex networks. Springer International Publishing.Abbass, H. (2015) Computational red teaming. Springer.Green, D. G., Liu, J. and Abbass, H. A. (2014) Dual phase evolution. New York, NY: Springer.Ng, S., Scholz, J. and Abbass, H. (2025) Thinking Swarms. Springer Nature.Abbass, H. and Hunjet, R. (2021) Shepherding UxVs for Human-Swarm Teaming. Springer, Cham.Abbass, H., Scholz, J. and Reid, D. (eds.) (2018) Foundations of trusted autonomy. Springer Nature.Abielmona, R., Falcon, R., Zincir-Heywood, N., & Abbass, H. (Eds) (2016). Recent Advances in Computational Intelligence in Defense and Security. Springer International Publishing.Liu, J., Alippi, C., Bouchon-Meunier, B., Greenwood, G. and Abbass, H. (eds.) (2012) Advances in Computational Intelligence: IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures. Springer.Randall, M., Abbass, H. and Wiles, J. (eds.) (2007) Proceedings of the 3rd Australian conference on Progress in artificial life. Springer-Verlag.Randall, M., Abbass, H. and Wiles, J. (eds.) (2007) Progress in Artificial Life: Third Australian Conference, ACAL 2007 Gold Coast, Australia, December 4-6, 2007 Proceedings. Springer.Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen, Xin Yao (eds.) (2006) Proceedings of the 6th International Conference on Simulated Evolution and Learning”, Lecture Notes in Computer Science 4247 Springer.Wang, T., Li, X., Chen, S., Wang, X., Abbass, H., Iba, H., Chen, G. and Yao, X. (eds.) (2006) Simulated Evolution and Learning. Springer Verlag.Abbass H.A. and Essam D.L. (eds.) (2005) Applications of Information Systems to Homeland Security and Defense. IGI publishers, USA.Abbass, H., Bossomaier, T. and Wiles, J. (eds.) (2005) Recent advances in artificial life: advances in natural computation-Vol. 3. World Scientific Publishing.Abbass, H. A. and Essam, D. (eds.) (2005) Applications of information systems to homeland security and defense. Hershey, PA: IGI Global.Sarker, R., Reynolds, R., Abbass, H., Tan, K.C., McKay, R., Essam, D., and Gedeon, T. (eds.) (2003) Proceedings of the Congress on Evolutionary Computation, IEEE-Press.Abbass H. and Wiles J. (eds.) (2003) Proceedings of the Australian Conference on Artificial Life.Standish, R., Bedau, M. and Abbass, H. (eds.) (2003) Artificial Life 8. MIT Press.Gershenson, C., Standish, R., Bedau, M. and Abbass, H. (eds.) (2002) Artificial Life VIII. MIT Press 2002) pp.Sarker, R., Newton, C. and Abbass, H. (eds.) (2002) Data mining: a heuristic approach. IGI Global.Bilotta, E., Gross, D., Smith, T., Lenaerts, T., Bullock, S., Lund, H.H., Bird, J., Watson, R., Pantano, P., Pagliarini, L., Abbass, H., Standish R., and Bedau M. (eds.) (2002) Workshop Proceedings of the 8th International Conference on the Simulation and Synthesis of Living Systems, UNSW.Abbass, H., Newton, C. and Sarker, R. (eds.) (2001) Heuristic and optimization for knowledge discovery. IGI Global.Abbass H.A. and Barlow M. (eds.) (2002) Computer Science Monograph 1: Proceedings of the Post-graduate Conference on Computer Science, ADFA-Printing, ISBN 0-7317-0507-6, July.Abbass, H. and Towsey, M. (eds.) (1999) The Application of Artificial Intelligence, Optimisation and Bayesian Methods in Agriculture. Queensland University of Technology, ISBN 1-86435-463-1.Liu, J., Anavatti, S., Garratt, M. and Abbass, H. (2021) Marriage in Honey Bees Optimization in Continuous Domains. Handbook of AI-based Metaheuristics, 43-72.Yaxley, K., Joiner, K., Bogais, J. and Abbass, H. (2020) Life Learning of Smart Autonomous Systems for Meaningful Human‐Autonomy Teaming. A Framework of Human Systems Engineering: Applications and Case Studies, 43-61.Abbass, H. (2020) ‘An introduction to neuroergonomics: From brains at work to human-swarm teaming’. Neuroergonomics: Principles and Practice, 3-10. [2026 JIF (2025 JCR): 2.8]Abielmona, R., Falcon, R., Zincir-Heywood, N. and Abbass, H. (2016) ‘Recent advances in computational intelligence in defense and security’, in Studies in Computational Intelligence. pp. 1-9.Wang, K., Petraki, E. and Abbass, H. (2015) ‘Evolving narrations of strategic defence and security scenarios for computational scenario planning’, in Studies in Computational Intelligence. pp. 635-661.Zhao, W., Tang, J., Alam, S., Bender, A. and Abbass, H. A. (2010) ‘Evolutionary-computation based risk assessment of aircraft landing sequencing algorithms’, in IFIP Advances in Information and Communication Technology. pp. 254-265.Bui, L. T., Essam, D. and Abbass, H. A. (2010) ‘The role of explicit niching and communication messages in distributed evolutionary multi-objective optimization’, in Studies in Computational Intelligence. pp. 181-206.Soliman, O., Bui, L. T. and Abbass, H. (2009) ‘A memetic coevolutionary multi-objective differential evolution algorithm’, in Studies in Computational Intelligence. pp. 369-388.Dam, H. H., Rojanavasu, P., Abbass, H. A. and Lokan, C. (2008) ‘Distributed learning classifier systems’, in Studies in Computational Intelligence. pp. 69-91.Teo, J., Neri, L. D., Nguyen, M. H. and Abbass, H. A. (2008) ‘Walking with EMO: Multi-objective robotics for evolving two, four, and six-legged locomotion’, in Multi-Objective Optimization in Computational Intelligence: Theory and Practice. pp. 300-332.Baker, S., Bender, A., Abbass, H. and Sarker, R. (2007) ‘A scenario-based evolutionary scheduling approach for assessing future supply chain fleet capabilities’, in Studies in Computational Intelligence. pp. 485-511.Shan, Y., McKay, R. I., Essam, D. and Abbass, H. A. (2007) ‘A survey of probabilistic model building genetic programming’, in Studies in Computational Intelligence. pp. 121-160.Dam, H. H., Lokan, C. and Abbass, H. A. (2007) ‘Evolutionary online data mining: An investigation in a dynamic environment’, in Studies in Computational Intelligence. pp. 153-178.Cornforth, D., Abbass, H. and Larkin, H. (2007) Intelligent Evacuation Models for Fire and Chemical Hazard. Recent advances in security technology, 145.Kirley, M., Abbass, H., Mckay, R., Triantaphyllou, E. and Felici, G. (2006) ‘Diversity mechanisms in Pitt-style evolutionary classifier systems’, in DATA MINING AND KNOWLEDGE DISCOVERY APPROACHES BASED ON RULE INDUCTION TECHNIQUES. pp. 433-457.Abbass, H. and Jin, Y. (2006) ‘Pareto-optimal approaches to neuro-ensemble learning’, in MULTI-OBJECTIVE MACHINE LEARNING. pp. 407-427.Sarker, R. A. and Abbass, H. A. (2006) ‘Simultaneous evolution of network architectures and connection weights in artificial neural networks’, in Artificial Neural Networks in Finance and Manufacturing. pp. 28-41.Essam, D. and Abbass, H. A. (2005) ‘All hazards analysis: A complexity perspective’, in Applications of Information Systems to Homeland Security and Defense. pp. 1-16.Alam, S., McPartland, M., Barlow, M., Lindsay, P. and Abbass, H. (2005) ‘Neural Evolution for Collision Detection & Resolution in a 2D Free Flight Environment’. Recent Advances In Artificial Life, Ch. 2, 13-28. [2026 JIF (2025 JCR): 1.5]Bui, L., Abbass, H. and Essam, D. (2005) ‘Cooperative Coevolution of Genotype—Phenotype Mappings to Solve Epistatic Optimization Problems’. Recent Advances In Artificial Life, Ch. 3, 29-42. [2026 JIF (2025 JCR): 1.5]Yang, A., Abbass, H., Barlow, M., Sarker, R. and Curtis, N. (2005) ‘Evolving Capability Requirements in WISDOM-II’. Recent Advances In Artificial Life, Ch. 25, 335-347. [2026 JIF (2025 JCR): 1.5]Nguyen, M., Abbass, H., Mckay, R., Ghosh, A. and Jain, L. (2005) ‘Diversity and neuro-ensemble’, in EVOLUTIONARY COMPUTATION IN DATA MINING. pp. 125-156.Yang, A., Abbass, H. A. and Sarker, R. (2005) ‘How hard is it to red team?’, in Applications of Information Systems to Homeland Security and Defense. pp. 46-78.Teo, J. and Abbass, H. (2004c) ‘Evolutionary multi-objective robotics: evolving a physically simulated quadruped using the PDE algorithm’, in RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING. p. 820.Abbass, H., Sarker, R. and Newton, C. (2002) ‘From evolution to immune to swarm to.. ? A simple introduction to modern heuristics’, in DATA MINING: A HEURISTIC APPROACH. pp. 2-21.Liu, J., Singh, H., Elsayed, S., Hunjet, R. and Abbass, H. A. (2026) ‘Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments’. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), pp. 116–129. [2026 JIF (2025 JCR): 6.0]Tolley, H., Sharma, U. and Abbass, H. (2026) ‘Trap Finite State Machines with Delays: Testing and Evaluation Benchmarks with Adjustable Complexity Bricks’. ACM Transactions on Evolutionary Learning and Optimization, 6(3), pp. 1–39. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]Yaxley, K., Joiner, K. and Abbass, H. (2026) ‘Biologically Inspired Effectiveness Measures for Shepherding-Based guidance Systems’. Adaptive Behavior 34 (2), 95-113. [2026 JIF (2025 JCR): 1.6]Wasswa, H., Abbass, H. and Lynar, T. (2026) ‘VLSA-CL: A variational latent space alignment and contrastive learning framework for robust detection of IoT botnet attacks under concept drift’. Neurocomputing, 134098. [2026 JIF (2025 JCR): 6.7]Hussein, A., Nguyen, H. and Abbass, H. A. (2025) ‘Machine teaching in Swarm Metaverse under different levels of autonomy’. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2289). [2026 JIF (2025 JCR): 3.7]Hussein, A. and Abbass, H. (2025) ‘Quantum and Artificial-Intelligence-Powered Metaverse for Human–Swarm Teaming: An Affordable and Safe Platform’. IEEE Systems, Man, and Cybernetics Magazine, 11(4), pp. 4–10. [2026 JIF (2025 JCR): 1.5]Wasswa, H., Abbass, H. and Lynar, T. (2025) Latent space alignment for robust detection of IoT botnet attacks in non-stationary environments. Knowledge-Based Systems, 114749.Wasswa, H., Abbass, H. A. and Lynar, T. (2025) ‘ResDNViT: A hybrid architecture for Netflow-based attack detection using a residual dense network and Vision Transformer’. Expert Systems with Applications, 282, p. 127504. [2026 JIF (2025 JCR): 9.4]Hussein, A., Petraki, E. and Abbass, H. A. (2025) ‘Swarm Imitation Learning From Observations’. IEEE Transactions on Emerging Topics in Computational Intelligence, 9(6), pp. 4092–4105. [2026 JIF (2025 JCR): 6.0]Abbass, H. and Mostaghim, S. (2025) ‘The road forward with swarm systems’. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2289). [2026 JIF (2025 JCR): 3.7]Hepworth, A., Hussein, A., Reid, D. and Abbass, H. (2024) ‘Contextually aware intelligent control agents for heterogeneous swarms’. Swarm Intelligence 18 (4), 275-310. [2026 JIF (2025 JCR): 2.5]Liu, J., Anavatti, S., Garratt, M. and Abbass, H. A. (2024) ‘A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation’. Information Sciences, 679, p. 121029. [2026 JIF (2025 JCR): 6.0]Vahidnia, S., Abbasi, A. and Abbass, H. (2024) ‘A temporal ontology guided clustering methodology with a case study on detection and tracking of artificial intelligence topics’. Expert Systems with Applications, 247, p. 123279. [2026 JIF (2025 JCR): 9.4]Tsang, I., Ong, Y. S. and Abbass, H. (2024) ‘Conference Report on 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024) [Conference Reports]’. IEEE Computational Intelligence Magazine, 19(4), pp. 5–8. [2026 JIF (2025 JCR): 7.7]Abbass, H., Crockett, K., Garibaldi, J., Gegov, A., Kaymak, U. and Sousa, J. M. C. (2024) ‘Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)’. IEEE Transactions on Artificial Intelligence, 5(9), pp. 4310–4314. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]Abbass, H. (2024) ‘Editorial: Future Directions in Artificial Intelligence Research’. IEEE Transactions on Artificial Intelligence, 5(12), pp. 5858–5862. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]Hepworth, A., Hussein, A., Reid, D. and Abbass, H. (2023) ‘Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts’. Adaptive behavior 31 (4), 323-349. [2026 JIF (2025 JCR): 1.6]Mohamed, R. E., Hunjet, R., Elsayed, S. and Abbass, H. (2023) ‘Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding’. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(3), pp. 661–683. [2026 JIF (2025 JCR): 6.0]Abbass, H. (2023) ‘Editorial Interdisciplinary Artificial Intelligence Research With Machine Education as an Example’. IEEE Transactions on Artificial Intelligence, 4(3), pp. 399–401. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]Nguyen, H., Hussein, A., Garratt, M. A. and Abbass, H. A. (2023) ‘Swarm Metaverse for Multi-Level Autonomy Using Digital Twins’. Sensors, 23(10), p. 4892. [2026 JIF (2025 JCR): 4.0]Yaxley, K., Reid, A., Kenworthy, C., Hossny, M., Baxter, D., Allworth, M. and . (2023) Building a Sky Shepherd for the future of agriculture. Smart Agricultural Technology 3, 100137.Abbass, H., Petraki, E. and Hunjet, R. (2022) JSwarm: a Jingulu-inspired human-AI-teaming language for context-aware swarm guidance. Frontiers in Physics 10, 944064.Dong, X., Garratt, M., Anavatti, S. and Abbass, H. (2022) ‘Towards real-time monocular depth estimation for robotics: A survey’. IEEE Transactions on Intelligent Transportation Systems 23 (10), 16940-16961. [2026 JIF (2025 JCR): 9.1]Liu, J., Anavatti, S., Garratt, M. and Abbass, H. A. (2022) ‘Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning’. Expert Systems with Applications, 196, p. 116605. [2026 JIF (2025 JCR): 9.4]Dong, X., Garratt, M., Anavatti, S. and Abbass, H. (2022) ‘Mobilexnet: An efficient convolutional neural network for monocular depth estimation’. IEEE Transactions on Intelligent Transportation Systems 23 (11), 20134-20147. [2026 JIF (2025 JCR): 9.1]Hussein, A., Ghignone, L., Nguyen, T., Salimi, N., Nguyen, H., Wang, M. and . (2022) Characterization of indicators for adaptive human-swarm teaming. Frontiers in Robotics and AI 9, 745958.Liu, J., Anavatti, S., Garratt, M. and Abbass, H. (2022) ‘Multi-operator continuous ant colony optimisation for real world problems’. Swarm and Evolutionary Computation 69, 100984. [2026 JIF (2025 JCR): 4.1]Liu, J., Anavatti, S., Garratt, M., Tan, K. and Abbass, H. (2022) ‘A survey, taxonomy and progress evaluation of three decades of swarm optimisation’. Artificial Intelligence Review 55 (5), 3607-3725.Dam, T., Anavatti, S. G. and Abbass, H. A. (2022) ‘Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification’. IEEE Geoscience and Remote Sensing Letters, 19, pp. 1–5. [2026 JIF (2025 JCR): 4.8]El-Fiqi, H., Wang, M., Kasmarik, K., Bezerianos, A., Tan, K. C. and Abbass, H. A. (2022) ‘Weighted Gate Layer Autoencoders’. IEEE Transactions on Cybernetics, 52(8), pp. 7242–7253. [2026 JIF (2025 JCR): 11.3]Hepworth, A. J., Baxter, D. P. and Abbass, H. A. 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Frontiers in neuroscience 14, 40.Wang, M., Hu, J. and Abbass, H. A. (2020) ‘BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs’. Pattern Recognition, 105, p. 107381. [2026 JIF (2025 JCR): 9.1]Hussein, A., Elsawah, S. and Abbass, H. (2020) ‘Trust mediating reliability–reliance relationship in supervisory control of human–swarm interactions’. Human Factors 62 (8), 1237-1248.Hussein, A., Elsawah, S. and Abbass, H. A. (2020) ‘The reliability and transparency bases of trust in human-swarm interaction: principles and implications’. Ergonomics, 63(9), pp. 1116–1132. [2026 JIF (2025 JCR): 2.8]El-Fiqi, H., Campbell, B., Elsayed, S., Perry, A., Singh, H. K., Hunjet, R. and Abbass, H. A. (2020) ‘The Limits of Reactive Shepherding Approaches for Swarm Guidance’. IEEE Access, 8, pp. 214658–214671. [2026 JIF (2025 JCR): 4.2]Abbass, H. A. (2019) ‘Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust’. 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(2018) ‘Hierarchical Deep Reinforcement Learning for Continuous Action Control’. IEEE Transactions on Neural Networks and Learning Systems, pp. 1–11. [2026 JIF (2025 JCR): 9.7]Goh, S. K., Abbass, H. A., Tan, K. C., Al-Mamun, A., Thakor, N., Bezerianos, A. and Li, J. (2018) ‘Spatio–Spectral Representation Learning for Electroencephalographic Gait-Pattern Classification’. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(9), pp. 1858–1867. [2026 JIF (2025 JCR): 6.6]Xiao, M., Cai, K. and Abbass, H. (2018) ‘Hybridized encoding for evolutionary multi-objective optimization of air traffic network flow: A case study on China’. Transportation Research Part E: Logistics and Transportation Review 115, 35-55.Tang, J., Leu, G. and Abbass, H. A. (2018) ‘Networking the Boids Is More Robust Against Adversarial Learning’. IEEE Transactions on Network Science and Engineering, 5(2), pp. 141–155. [2026 JIF (2025 JCR): 7.3]Keshk, M., Singh, H. and Abbass, H. (2018) ‘Automatic estimation of differential evolution parameters using Hidden Markov Models’. Evolutionary Intelligence 10 (3), 77-93.Wang, K., Bui, V., Petraki, E. and Abbass, H. (2018) ‘Human-guided evolutionary story narration’. IEEE access 6, 13783-13802. [2026 JIF (2025 JCR): 4.2]Abbass, H. A., Fogel, G. and Fidock, J. (2018) ‘Guest Editorial: Special Issue on Human–Machine Symbiosis’. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(4), pp. 246–248. [2026 JIF (2025 JCR): 6.0]Harvey, J., Merrick, K. and Abbass, H. (2018) Assessing human judgment of computationally generated swarming behavior. Frontiers in Robotics and AI 5, 13.Greenwood, G., Abbass, H. and Petraki, E. (2018) When is altruistic punishment useful in social dilemmas?. Biosystems 174, 60-62.Goh, S., Abbass, H., Tan, K., Al-Mamun, A., Wang, C. and Guan, C. (2017) ‘Automatic EEG artifact removal techniques by detecting influential independent components’. 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[2026 JIF (2025 JCR): 2.3]Abbass, H., Guan, C. and Tan, K. (2016) ‘Computational Intelligence for Brain Computer Interface [Guest Editorial]’. IEEE Computational Intelligence Magazine 11 (1), 18-18. [2026 JIF (2025 JCR): 7.7]El-Fiqi, H., Petraki, E. and Abbass, H. (2016) ‘Pairwise comparative classification for translator stylometric analysis’. ACM Transactions on Asian and Low-Resource Language Information Processing ….Leu, G. and Abbass, H. (2016) A multi-disciplinary review of knowledge acquisition methods: From human to autonomous eliciting agents. Knowledge-Based Systems 105, 1-22.Qiu, X., Xu, J., Tan, K. and Abbass, H. (2015) ‘Adaptive cross-generation differential evolution operators for multiobjective optimization’. IEEE Transactions on Evolutionary Computation 20 (2), 232-244. [2026 JIF (2025 JCR): 15.9]Abbass, H., Greenwood, G. and Petraki, E. (2015) ‘The N-Player Trust Game and its Replicator Dynamics’. IEEE Transactions on Evolutionary Computation, pp. 1–1. [2026 JIF (2025 JCR): 15.9]Abbass, H. A., Petraki, E., Merrick, K., Harvey, J. and Barlow, M. (2015) ‘Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges’. Cognitive Computation, pp. 1-24. [2026 JIF (2025 JCR): 7.4]Harvey, J., Merrick, K. and Abbass, H. A. (2015) ‘Application of chaos measures to a simplified boids flocking model’. Swarm Intelligence, 9(1), pp. 23-41. [2026 JIF (2025 JCR): 2.5]Goh, S. K., Abbass, H. A., Tan, K. C. and Al-Mamun, A. (2015) ‘Decompositional independent component analysis using multi-objective optimization’. Soft Computing. [2026 JIF (2025 JCR): 2.5]Abbass, H., Mańdziuk, J., Merrick, K. and Świechowski, M. (2015) ‘Human-Machine Cooperation Loop in Game Playing’. International Journal on Advances in Intelligent Systems 8 (3/4).Xiong, J., Liu, J., Chen, Y. and Abbass, H. A. (2014) ‘A knowledge-based evolutionary multiobjective approach for stochastic extended resource investment project scheduling problems’. IEEE Transactions on Evolutionary Computation, 18(5), pp. 742-763. [2026 JIF (2025 JCR): 15.9]Xiong, J., Leus, R., Yang, Z. and Abbass, H. A. (2014) ‘Evolutionary multi-objective resource allocation and scheduling in the Chinese navigation satellite system project’. European Journal of Operational Research. [2026 JIF (2025 JCR): 7.0]Zhao, W., Alam, S. and Abbass, H. A. (2014) ‘MOCCA-II: A multi-objective co-operative co-evolutionary algorithm’. Applied Soft Computing Journal, 23, pp. 407-416. [2026 JIF (2025 JCR): 7.8]Abbass, H. (2014) ‘The computational air traffic control brain: computational red teaming and big data for real-time seamless brain-traffic integration’. Journal of Air Traffic Control 56 (2).Nguyen, L., Bui, L. T. and Abbass, H. A. (2014) ‘DMEA-II: the direction-based multi-objective evolutionary algorithm-II’. Soft Computing, 18(11), pp. 2119-2134. [2026 JIF (2025 JCR): 2.5]Abbass, H., Tang, J., Ellejmi, M. and Kirby, S. (2014) ‘Visual and auditory reaction time for air traffic controllers using quantitative electroencephalograph (QEEG) data’. Brain informatics 1 (1), 39-45.Leu, G., Curtis, N. J. and Abbass, H. A. (2014) ‘Society of Mind cognitive agent architecture applied to drivers adapting in a traffic context’. Adaptive Behavior, 22(2), pp. 123-145. [2026 JIF (2025 JCR): 1.6]Wang, S. L., Shafi, K., Lokan, C. and Abbass, H. A. (2013) ‘An agent-based model to simulate and analyse behaviour under noisy and deceptive information’. Adaptive Behavior, 21(2), pp. 96-117. [2026 JIF (2025 JCR): 1.6]Zhao, W., Alam, S. and Abbass, H. A. (2013) ‘Evaluating ground-air network vulnerabilities in an integrated terminal maneuvering area using co-evolutionary computational red teaming’. Transportation Research Part C: Emerging Technologies, 29, pp. 32-54. [2026 JIF (2025 JCR): 8.4]Shafi, K. and Abbass, H. A. (2013) ‘Evaluation of an adaptive genetic-based signature extraction system for network intrusion detection’. Pattern Analysis and Applications, 16(4), pp. 549-566. [2026 JIF (2025 JCR): 2.6]Leu, G., Curtis, N. J. and Abbass, H. (2013) ‘Modeling and simulation of road traffic behavior: Artificial drivers with personality and emotions’. Journal of Advanced Computational Intelligence and Intelligent Informatics, 17(6), pp. 851-861. [2026 JIF (2025 JCR): 0.7]Alam, S., Lokan, C., Aldis, G., Barry, S., Butcher, R. and Abbass, H. (2013) ‘Systemic identification of airspace collision risk tipping points using an evolutionary multi-objective scenario-based methodology’. Transportation Research Part C: Emerging Technologies, 35, pp. 57-84. [2026 JIF (2025 JCR): 8.4]Tang, J., Alam, S., Lokan, C. and Abbass, H. A. (2012) ‘A multi-objective approach for Dynamic Airspace Sectorization using agent based and geometric models’. Transportation Research Part C: Emerging Technologies, 21(1), pp. 89-121. 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Physica A: Statistical Mechanics and its Applications, 391(20), pp. 5004-5017. [2026 JIF (2025 JCR): 3.3]Abbass, H., Bender, A., Gaidow, S. and Whitbread, P. (2011) ‘Computational red teaming: Past, present and future’. IEEE Computational Intelligence Magazine, 6(1), pp. 30-42. [2026 JIF (2025 JCR): 7.7]Bui, L. T., Liu, J., Bender, A., Barlow, M., Wesolkowski, S. and Abbass, H. A. (2011) ‘DMEA: A direction-based multiobjective evolutionary algorithm’. Memetic Computing, 3(4), pp. 271-285. [2026 JIF (2025 JCR): 2.3]Alam, S., Nguyen, M. H., Abbass, H. A., Lokan, C., Ellejmi, M. and Kirby, S. (2011) ‘Multi-aircraft dynamic continuous descent approach methodology for low-noise and emission guidance’. Journal of Aircraft, 48(4), pp. 1225-1237. [2026 JIF (2025 JCR): 2.4]Barbosa, B. H. G., Bui, L. T., Abbass, H. A., Aguirre, L. A. and Braga, A. P. (2011) ‘The use of coevolution and the artificial immune system for ensemble learning’. Soft Computing, 15(9), pp. 1735-1747. [2026 JIF (2025 JCR): 2.5]Liu, J., Abbass, H. A., Zhong, W. and Green, D. G. (2011) ‘Local-global interaction and the emergence of scale-free networks with community structures’. Artificial Life, 17(4), pp. 263-279. [2026 JIF (2025 JCR): 1.5]Abbass, H. and Petraki, E. (2011) The causes for no causation: A computational perspective. Information Knowledge Systems Management 10 (1-4), 51-74.Wang, S. L., Shafi, K., Lokan, C. and Abbass, H. A. (2010) ‘Adversarial learning: The impact of statistical sample selection techniques on neural ensembles’. Evolving Systems, 1(3), pp. 181-197. [2026 JIF (2025 JCR): 2.7]Pham, V. V., Tang, J., Alam, S., Lokan, C. and Abbass, H. A. (2010) ‘Aviation emission inventory development and analysis’. Environmental Modelling and Software, 25(12), pp. 1738-1753. [2026 JIF (2025 JCR): 5.2]Zhong, W., Abbass, H. A., Bender, A. and Liu, J. (2010) ‘Mixed strategy and coevolution dynamics in social networks’. 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(2009) ‘Evolutionary Game Theoretic Approach for Modeling Civil Violence’. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 13(4), pp. 780-800. [2026 JIF (2025 JCR): 15.9]Abbass, H., Alam, S. and Bender, A. (2009) ‘MEBRA: Multiobjective Evolutionary-Based Risk Assessment’. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 4(3), pp. 29-36. [2026 JIF (2025 JCR): 7.7]Bui, L., Barlow, M. and Abbass, H. (2009) ‘A multi-objective risk-based framework for mission capability planning’. New Mathematics and Natural Computation 5 (02), 459-485.Bui, L., Abbass, H. and Essam, D. (2009) ‘Localization for Solving Noisy Multi-Objective Optimization Problems’. EVOLUTIONARY COMPUTATION, 17(3), pp. 379-409. [2026 JIF (2025 JCR): 4.1]Quek, H., Tan, K., Goh, C. and Abbass, H. (2009) ‘Evolution and Incremental Learning in the Iterated Prisoner's Dilemma’. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 13(2), pp. 303-320. [2026 JIF (2025 JCR): 15.9]Rojanavasu, P., Dam, H., Abbass, H., Lokan, C. and Pinngern, O. (2009) ‘A Self-Organized, Distributed, and Adaptive Rule-Based Induction System’. IEEE TRANSACTIONS ON NEURAL NETWORKS, 20(3), pp. 446-459. [2026 JIF (2025 JCR): N/A (superseded title)]Abbass, H. and Bender, A. (2009) ‘The Pareto operating curve for risk minimization’. Artificial Life and Robotics 14 (4), 449-452. [2026 JIF (2025 JCR): 1.5]Macrossan, P., Kinghorn, B. and Abbass, H. (2009) ‘Cyclic genotyping strategies. III: A comparison of predictive methods for group genotyping’. JOURNAL OF ANIMAL BREEDING AND GENETICS, 126(2), pp. 117-126. [2026 JIF (2025 JCR): 1.9]Nguyen, M., Abbass, H. and Mckay, R. (2008) ‘Analysis of CCME: Coevolutionary dynamics, automatic problem decomposition, and regularization’. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 38(1), pp. 100-109. [2026 JIF (2025 JCR): N/A (superseded title)]Alam, S., Abbass, H. and Barlow, M. (2008) ‘ATOMS: Air Traffic Operations and Management Simulator’. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 9(2), pp. 209-225. [2026 JIF (2025 JCR): 9.1]Ghoneim, A., Abbass, H. and Barlow, M. (2008) ‘Characterizing game dynamics in two-player strategy games using network motifs’. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 38(3), pp. 682-690. [2026 JIF (2025 JCR): N/A (superseded title)]Bui, L., Deb, K., Abbass, H. and Essam, D. (2008) ‘Interleaving guidance in evolutionary multi-objective optimization’. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 23(1), pp. 44-63. [2026 JIF (2025 JCR): 1.3]Abbass, H. A. (2008) ‘Learning regularities and patterns using probabilistic finite state machines’. Complexity International, 12, pp. 1-10. [2026 JIF (2025 JCR): N/A (inactive/not indexed in 2025 JCR)]Dam, H., Abbass, H., Lokan, C. and Yao, X. (2008) ‘Neural-based learning classifier systems’. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 20(1), pp. 26-39. 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(2022) Fusing interpretable knowledge of neural network learning agents for swarm-guidance. arXiv preprint arXiv:2204.00272.Dam, T., Anavatti, S. and Abbass, H. (2021) Improving clustergan using self-augmented information maximization of disentangling latent spaces. arXiv preprint arXiv:2107.12706.Dam, T., Swami, N., Anavatti, S. and Abbass, H. (2021) Multi-fake evolutionary generative adversarial networks for imbalance hyperspectral image classification. arXiv preprint arXiv:2111.04019.Hepworth, A., yaxley, K., Baxter, D., Joiner, K. and Abbass, H. (2020) Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures.Nguyen, T., Kasmarik, K. and Abbass, H. (2020) An exact transformation from deep neural networks to multi-class multivariate decision trees. arXiv preprint arXiv:2003.04675.Nguyen, H., Nguyen, T., Tran, V., Garratt, M., Kasmarik, K., Anavatti, S. and . (2020) Continuous deep hierarchical reinforcement learning for ground-air swarm shepherding. arXiv preprint arXiv:2004.11543.Nguyen, T., Kasmarik, K. and Abbass, H. (2020) Q-Learning with Differential Entropy of Q-Tables. arXiv preprint arXiv:2006.14795.Nguyen, D., Kasmarik, K. and Abbass, H. (2020) Towards interpretable ANNs: An exact transformation to multi-class multivariate decision trees. arXiv preprint arXiv:2003.04675.Nguyen, H., Tran, V., Nguyen, T., Garratt, M., Kasmarik, K., Barlow, M., Anavatti, S. and . (2018) Apprenticeship bootstrapping via deep learning with a safety net for UAV-UGV interaction. arXiv preprint arXiv:1810.04344.Abbass, H., Harvey, J. and Yaxley, K. (2018) Lifelong testing of smart autonomous systems by shepherding a swarm of watchdog artificial intelligence agents. arXiv preprint arXiv:1812.08960.Hussein, A., Ghignone, L., Nguyen, T., Salimi, N., Nguyen, H., Wang, M. and . (2018) Towards bi-directional communication in human-swarm teaming: A survey. arXiv preprint arXiv:1803.03093.Abbass, H. (2017) An AI professor explains: three concerns about granting citizenship to robot Sophia. The conversation.Iorio, A., Abbass, H., Gaidow, S. and Bender, A. (2014) Visualizing cognitive moves for assessing information perception biases in decision making. arXiv preprint arXiv:1401.7193.Abbass, H., Bender, A. and Gaidow, S. (2010) Evolutionary computation for risk assessment using computational red teaming. Proc. IEEE World Congr. Computational Intelligence, Plenary and Invited Lectures.Whitacre, J., Bender, A., Baker, S., Fan, Q., Sarker, R. and Abbass, H. (2009) Network topology and time criticality effects in the modularised fleet mix problem. arXiv preprint arXiv:0907.0597.Wesolkowski, S., Mazurek, M., Whitacre, J., Bender, A. and Abbass, H. (2009) Robustness and Adaptiveness Analysis of Future Fleets. arXiv preprint arXiv:0907.0598.Alam, S., Tang, J., Lokan, C. and Abbass, H. (2009) An assessment of BADA fuel flow methodologies for in-trail procedure evaluation. Defence & Security Applications Research Centre, University of New South ….Yang, A., Curtis, N., Abbass, H. and Sarker, R. (2008) NCMAA: A network centric multi-agent architecture for modelling complex adaptive systems. The Artificial Life and Adaptive Robotics Laboratory Technical Report Series.Alam, S., Shafi, K., Abbass, H. and Barlow, M. (2007) ‘Evolving air traffic scenarios for the evaluation of conflict detection models’. In Proc. 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experiment Centre, Brétigny, France.Nguyen, M., Alam, S., Tang, J. and Abbass, H. (2007) ‘Ants-inspired dynamic weather avoidance trajectories in a traffic constrained enroute airspace’ In Proc. 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experiment Centre, Brétigny, France.Nguyen, M., Alam, S., Tang, J. and Abbass, H. (2007) ‘Dynamic weather avoidance trajectories in a traffic constrained en route airspace’. In Proc. 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experiment Centre, Brétigny, France.Vallis, R., Yang, Y. and Abbass, H. (2006) Disciplinary approaches to terrorism: A survey. ALAR–The Artificial Life and Adaptive Robotics Laboratory: Technical Reports.Alam, S., Abbass, H., Barlow, M. and Lindsay, P. (2006) Multi-objective ant colony optimization for weather avoidance in a free flight environment. The Artificial Life and Adaptive Robotics Laboratory, University of New South Wales.Sawah, S., Abbass, H. and Sarker, R. (2006) Risk in interdependent systems: a framework for analysis and mitigation through orchestrated adaptation. 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Urbana, IL: University of Illinois at Urbana-Champaign, Illinois Genetic ….Abbass, H., Bacardit, J., Butz, M. and Llora, X. (2004) Online adaptation in learning classifier systems: stream data mining. Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana ….Sastry, K., Abbass, H. and Goldberg, D. (2004) Sub-structural niching in non-stationary environments (IlliGAL Report No. 2004035). Urbana, IL: Illinois Genetic Algorithms Laboratory, University of Illinois ….Teo, J. and Abbass, H. (2001) An annealing approach to the mating-flight trajectories in the marriage in honey bees optimization algorithm Technical Report CS04/01. Academic Press, School of Computer Science, University of New South Wales at ….Abbass, H., Towsey, M. and Finn, G. (1998) ‘An intelligent decision support system for dairy cattle mate-allocation’. In Proceedings of the third Australian workshop on intelligent decision support ….Abbass H.A. (1998) ‘A quadratic optimiser in a constraint logic programming paradigm’. The workshop of constraint, 11th Australia Joint Conference in Artificial Intelligence, Australia, 1998.Abbass, Alam and Pham (12/2008) TOP-LAT: Trajectory Optimisation and Prediction of Live Air Traffic.Abbass, Alam and Tang (12/2008) RTA-COPACS: A Real Time Airspace COmplexity Prediction And Computation System.Abbass and Alam (12/2008) UOSAD: A User Oriented Structuring of Airspace Data using a Novel Hierarchical Representation.Abbass and Shafi (12/2008) TASET: Real-Time and Adaptive Signature Extraction and Classification SysTem.Abbass, Alam, Barlow, Tang, Shafi, Nguyen and Truong (6/2008) Air Traffic Operations & Management Simulator (ATOMS).Tang, J., Leu, G. and Abbass, H. (2019) Simulation and computational red teaming for problem solving. John Wiley & Sons.Liu, J., Abbass, H. and Tan, K. (2019) Evolutionary computation and complex networks. Springer International Publishing.Abbass, H. (2015) Computational red teaming. Springer.Green, D. G., Liu, J. and Abbass, H. A. (2014) Dual phase evolution. New York, NY: Springer.Ng, S., Scholz, J. and Abbass, H. (2025) Thinking Swarms. Springer Nature.Abbass, H. and Hunjet, R. (2021) Shepherding UxVs for Human-Swarm Teaming. Springer, Cham.Abbass, H., Scholz, J. and Reid, D. (eds.) (2018) Foundations of trusted autonomy. Springer Nature.Abielmona, R., Falcon, R., Zincir-Heywood, N., & Abbass, H. (Eds) (2016). Recent Advances in Computational Intelligence in Defense and Security. Springer International Publishing.Liu, J., Alippi, C., Bouchon-Meunier, B., Greenwood, G. and Abbass, H. (eds.) (2012) Advances in Computational Intelligence: IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures. Springer.Randall, M., Abbass, H. and Wiles, J. (eds.) (2007) Proceedings of the 3rd Australian conference on Progress in artificial life. Springer-Verlag.Randall, M., Abbass, H. and Wiles, J. (eds.) (2007) Progress in Artificial Life: Third Australian Conference, ACAL 2007 Gold Coast, Australia, December 4-6, 2007 Proceedings. Springer.Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen, Xin Yao (eds.) (2006) Proceedings of the 6th International Conference on Simulated Evolution and Learning”, Lecture Notes in Computer Science 4247 Springer.Wang, T., Li, X., Chen, S., Wang, X., Abbass, H., Iba, H., Chen, G. and Yao, X. (eds.) (2006) Simulated Evolution and Learning. Springer Verlag.Abbass H.A. and Essam D.L. (eds.) (2005) Applications of Information Systems to Homeland Security and Defense. IGI publishers, USA.Abbass, H., Bossomaier, T. and Wiles, J. (eds.) (2005) Recent advances in artificial life: advances in natural computation-Vol. 3. World Scientific Publishing.Abbass, H. A. and Essam, D. (eds.) (2005) Applications of information systems to homeland security and defense. Hershey, PA: IGI Global.Sarker, R., Reynolds, R., Abbass, H., Tan, K.C., McKay, R., Essam, D., and Gedeon, T. (eds.) (2003) Proceedings of the Congress on Evolutionary Computation, IEEE-Press.Abbass H. and Wiles J. (eds.) (2003) Proceedings of the Australian Conference on Artificial Life.Standish, R., Bedau, M. and Abbass, H. (eds.) (2003) Artificial Life 8. MIT Press.Gershenson, C., Standish, R., Bedau, M. and Abbass, H. (eds.) (2002) Artificial Life VIII. MIT Press 2002) pp.Sarker, R., Newton, C. and Abbass, H. (eds.) (2002) Data mining: a heuristic approach. IGI Global.Bilotta, E., Gross, D., Smith, T., Lenaerts, T., Bullock, S., Lund, H.H., Bird, J., Watson, R., Pantano, P., Pagliarini, L., Abbass, H., Standish R., and Bedau M. (eds.) (2002) Workshop Proceedings of the 8th International Conference on the Simulation and Synthesis of Living Systems, UNSW.Abbass, H., Newton, C. and Sarker, R. (eds.) (2001) Heuristic and optimization for knowledge discovery. IGI Global.Abbass H.A. and Barlow M. (eds.) (2002) Computer Science Monograph 1: Proceedings of the Post-graduate Conference on Computer Science, ADFA-Printing, ISBN 0-7317-0507-6, July.Abbass, H. and Towsey, M. (eds.) (1999) The Application of Artificial Intelligence, Optimisation and Bayesian Methods in Agriculture. Queensland University of Technology, ISBN 1-86435-463-1.Liu, J., Anavatti, S., Garratt, M. and Abbass, H. (2021) Marriage in Honey Bees Optimization in Continuous Domains. Handbook of AI-based Metaheuristics, 43-72.Yaxley, K., Joiner, K., Bogais, J. and Abbass, H. (2020) Life Learning of Smart Autonomous Systems for Meaningful Human‐Autonomy Teaming. A Framework of Human Systems Engineering: Applications and Case Studies, 43-61.Abbass, H. (2020) ‘An introduction to neuroergonomics: From brains at work to human-swarm teaming’. Neuroergonomics: Principles and Practice, 3-10. [2026 JIF (2025 JCR): 2.8]Abielmona, R., Falcon, R., Zincir-Heywood, N. and Abbass, H. (2016) ‘Recent advances in computational intelligence in defense and security’, in Studies in Computational Intelligence. pp. 1-9.Wang, K., Petraki, E. and Abbass, H. (2015) ‘Evolving narrations of strategic defence and security scenarios for computational scenario planning’, in Studies in Computational Intelligence. pp. 635-661.Zhao, W., Tang, J., Alam, S., Bender, A. and Abbass, H. A. (2010) ‘Evolutionary-computation based risk assessment of aircraft landing sequencing algorithms’, in IFIP Advances in Information and Communication Technology. pp. 254-265.Bui, L. T., Essam, D. and Abbass, H. A. (2010) ‘The role of explicit niching and communication messages in distributed evolutionary multi-objective optimization’, in Studies in Computational Intelligence. pp. 181-206.Soliman, O., Bui, L. T. and Abbass, H. (2009) ‘A memetic coevolutionary multi-objective differential evolution algorithm’, in Studies in Computational Intelligence. pp. 369-388.Dam, H. H., Rojanavasu, P., Abbass, H. A. and Lokan, C. (2008) ‘Distributed learning classifier systems’, in Studies in Computational Intelligence. pp. 69-91.Teo, J., Neri, L. D., Nguyen, M. H. and Abbass, H. A. (2008) ‘Walking with EMO: Multi-objective robotics for evolving two, four, and six-legged locomotion’, in Multi-Objective Optimization in Computational Intelligence: Theory and Practice. pp. 300-332.Baker, S., Bender, A., Abbass, H. and Sarker, R. (2007) ‘A scenario-based evolutionary scheduling approach for assessing future supply chain fleet capabilities’, in Studies in Computational Intelligence. pp. 485-511.Shan, Y., McKay, R. I., Essam, D. and Abbass, H. A. (2007) ‘A survey of probabilistic model building genetic programming’, in Studies in Computational Intelligence. pp. 121-160.Dam, H. H., Lokan, C. and Abbass, H. A. (2007) ‘Evolutionary online data mining: An investigation in a dynamic environment’, in Studies in Computational Intelligence. pp. 153-178.Cornforth, D., Abbass, H. and Larkin, H. (2007) Intelligent Evacuation Models for Fire and Chemical Hazard. Recent advances in security technology, 145.Kirley, M., Abbass, H., Mckay, R., Triantaphyllou, E. and Felici, G. (2006) ‘Diversity mechanisms in Pitt-style evolutionary classifier systems’, in DATA MINING AND KNOWLEDGE DISCOVERY APPROACHES BASED ON RULE INDUCTION TECHNIQUES. pp. 433-457.Abbass, H. and Jin, Y. (2006) ‘Pareto-optimal approaches to neuro-ensemble learning’, in MULTI-OBJECTIVE MACHINE LEARNING. pp. 407-427.Sarker, R. A. and Abbass, H. A. (2006) ‘Simultaneous evolution of network architectures and connection weights in artificial neural networks’, in Artificial Neural Networks in Finance and Manufacturing. pp. 28-41.Essam, D. and Abbass, H. A. (2005) ‘All hazards analysis: A complexity perspective’, in Applications of Information Systems to Homeland Security and Defense. pp. 1-16.Alam, S., McPartland, M., Barlow, M., Lindsay, P. and Abbass, H. (2005) ‘Neural Evolution for Collision Detection & Resolution in a 2D Free Flight Environment’. Recent Advances In Artificial Life, Ch. 2, 13-28. [2026 JIF (2025 JCR): 1.5]Bui, L., Abbass, H. and Essam, D. (2005) ‘Cooperative Coevolution of Genotype—Phenotype Mappings to Solve Epistatic Optimization Problems’. Recent Advances In Artificial Life, Ch. 3, 29-42. [2026 JIF (2025 JCR): 1.5]Yang, A., Abbass, H., Barlow, M., Sarker, R. and Curtis, N. (2005) ‘Evolving Capability Requirements in WISDOM-II’. Recent Advances In Artificial Life, Ch. 25, 335-347. [2026 JIF (2025 JCR): 1.5]Nguyen, M., Abbass, H., Mckay, R., Ghosh, A. and Jain, L. (2005) ‘Diversity and neuro-ensemble’, in EVOLUTIONARY COMPUTATION IN DATA MINING. pp. 125-156.Yang, A., Abbass, H. A. and Sarker, R. (2005) ‘How hard is it to red team?’, in Applications of Information Systems to Homeland Security and Defense. pp. 46-78.Teo, J. and Abbass, H. (2004c) ‘Evolutionary multi-objective robotics: evolving a physically simulated quadruped using the PDE algorithm’, in RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING. p. 820.Abbass, H., Sarker, R. and Newton, C. (2002) ‘From evolution to immune to swarm to.. ? A simple introduction to modern heuristics’, in DATA MINING: A HEURISTIC APPROACH. pp. 2-21.Liu, J., Singh, H., Elsayed, S., Hunjet, R. and Abbass, H. A. (2026) ‘Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments’. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), pp. 116–129. [2026 JIF (2025 JCR): 6.0]Tolley, H., Sharma, U. and Abbass, H. (2026) ‘Trap Finite State Machines with Delays: Testing and Evaluation Benchmarks with Adjustable Complexity Bricks’. ACM Transactions on Evolutionary Learning and Optimization, 6(3), pp. 1–39. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]Yaxley, K., Joiner, K. and Abbass, H. (2026) ‘Biologically Inspired Effectiveness Measures for Shepherding-Based guidance Systems’. Adaptive Behavior 34 (2), 95-113. [2026 JIF (2025 JCR): 1.6]Wasswa, H., Abbass, H. and Lynar, T. (2026) ‘VLSA-CL: A variational latent space alignment and contrastive learning framework for robust detection of IoT botnet attacks under concept drift’. Neurocomputing, 134098. [2026 JIF (2025 JCR): 6.7]Hussein, A., Nguyen, H. and Abbass, H. A. (2025) ‘Machine teaching in Swarm Metaverse under different levels of autonomy’. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2289). [2026 JIF (2025 JCR): 3.7]Hussein, A. and Abbass, H. (2025) ‘Quantum and Artificial-Intelligence-Powered Metaverse for Human–Swarm Teaming: An Affordable and Safe Platform’. IEEE Systems, Man, and Cybernetics Magazine, 11(4), pp. 4–10. [2026 JIF (2025 JCR): 1.5]Wasswa, H., Abbass, H. and Lynar, T. (2025) Latent space alignment for robust detection of IoT botnet attacks in non-stationary environments. Knowledge-Based Systems, 114749.Wasswa, H., Abbass, H. A. and Lynar, T. (2025) ‘ResDNViT: A hybrid architecture for Netflow-based attack detection using a residual dense network and Vision Transformer’. Expert Systems with Applications, 282, p. 127504. [2026 JIF (2025 JCR): 9.4]Hussein, A., Petraki, E. and Abbass, H. A. (2025) ‘Swarm Imitation Learning From Observations’. IEEE Transactions on Emerging Topics in Computational Intelligence, 9(6), pp. 4092–4105. [2026 JIF (2025 JCR): 6.0]Abbass, H. and Mostaghim, S. (2025) ‘The road forward with swarm systems’. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2289). [2026 JIF (2025 JCR): 3.7]Hepworth, A., Hussein, A., Reid, D. and Abbass, H. (2024) ‘Contextually aware intelligent control agents for heterogeneous swarms’. Swarm Intelligence 18 (4), 275-310. [2026 JIF (2025 JCR): 2.5]Liu, J., Anavatti, S., Garratt, M. and Abbass, H. A. (2024) ‘A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation’. Information Sciences, 679, p. 121029. [2026 JIF (2025 JCR): 6.0]Vahidnia, S., Abbasi, A. and Abbass, H. (2024) ‘A temporal ontology guided clustering methodology with a case study on detection and tracking of artificial intelligence topics’. Expert Systems with Applications, 247, p. 123279. [2026 JIF (2025 JCR): 9.4]Tsang, I., Ong, Y. S. and Abbass, H. (2024) ‘Conference Report on 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024) [Conference Reports]’. IEEE Computational Intelligence Magazine, 19(4), pp. 5–8. [2026 JIF (2025 JCR): 7.7]Abbass, H., Crockett, K., Garibaldi, J., Gegov, A., Kaymak, U. and Sousa, J. M. C. (2024) ‘Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)’. IEEE Transactions on Artificial Intelligence, 5(9), pp. 4310–4314. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]Abbass, H. (2024) ‘Editorial: Future Directions in Artificial Intelligence Research’. IEEE Transactions on Artificial Intelligence, 5(12), pp. 5858–5862. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]Hepworth, A., Hussein, A., Reid, D. and Abbass, H. (2023) ‘Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts’. Adaptive behavior 31 (4), 323-349. [2026 JIF (2025 JCR): 1.6]Mohamed, R. E., Hunjet, R., Elsayed, S. and Abbass, H. (2023) ‘Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding’. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(3), pp. 661–683. [2026 JIF (2025 JCR): 6.0]Abbass, H. (2023) ‘Editorial Interdisciplinary Artificial Intelligence Research With Machine Education as an Example’. IEEE Transactions on Artificial Intelligence, 4(3), pp. 399–401. [2026 JIF (2025 JCR): N/A (no 2025 JIF located)]Nguyen, H., Hussein, A., Garratt, M. A. and Abbass, H. A. (2023) ‘Swarm Metaverse for Multi-Level Autonomy Using Digital Twins’. Sensors, 23(10), p. 4892. [2026 JIF (2025 JCR): 4.0]Yaxley, K., Reid, A., Kenworthy, C., Hossny, M., Baxter, D., Allworth, M. and . (2023) Building a Sky Shepherd for the future of agriculture. Smart Agricultural Technology 3, 100137.Abbass, H., Petraki, E. and Hunjet, R. (2022) JSwarm: a Jingulu-inspired human-AI-teaming language for context-aware swarm guidance. Frontiers in Physics 10, 944064.Dong, X., Garratt, M., Anavatti, S. and Abbass, H. (2022) ‘Towards real-time monocular depth estimation for robotics: A survey’. IEEE Transactions on Intelligent Transportation Systems 23 (10), 16940-16961. 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(2022) ‘A survey, taxonomy and progress evaluation of three decades of swarm optimisation’. Artificial Intelligence Review 55 (5), 3607-3725.Dam, T., Anavatti, S. G. and Abbass, H. A. (2022) ‘Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification’. IEEE Geoscience and Remote Sensing Letters, 19, pp. 1–5. [2026 JIF (2025 JCR): 4.8]El-Fiqi, H., Wang, M., Kasmarik, K., Bezerianos, A., Tan, K. C. and Abbass, H. A. (2022) ‘Weighted Gate Layer Autoencoders’. IEEE Transactions on Cybernetics, 52(8), pp. 7242–7253. [2026 JIF (2025 JCR): 11.3]Hepworth, A. J., Baxter, D. P. and Abbass, H. A. (2022) ‘Onto4MAT: A Swarm Shepherding Ontology for Generalized Multiagent Teaming’. IEEE Access, 10, pp. 59843–59861. [2026 JIF (2025 JCR): 4.2]Liu, X., Kasmarik, K. and Abbass, H. (2022) ‘Assessing Player Profiles of Achievement, Affiliation, and Power Motivation Using Electroencephalography’. 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(2021) ‘Autonomous recommender system for reconnaissance tasks using a swarm of UAVs and asynchronous shepherding’. Human-Intelligent Systems Integration 3 (2), 175-186.Hepworth, A., Baxter, D., Hussein, A., Yaxley, K., Debie, E. and Abbass, H. (2021) ‘Human-swarm-teaming transparency and trust architecture’. IEEE/CAA Journal of Automatica Sinica 8 (7), 1281-1295.Yaxley, K., Joiner, K. and Abbass, H. (2021) ‘Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding’. Scientific reports 11 (1), 7803.Hussein, A., Elsawah, S., Petraki, E. and Abbass, H. A. (2021) ‘A machine education approach to swarm decision-making in best-of-n problems’. Swarm Intelligence. [2026 JIF (2025 JCR): 2.5]Wang, M., Kasmarik, K., Bezerianos, A., Tan, K. C. and Abbass, H. (2021) ‘On the channel density of EEG signals for reliable biometric recognition’. Pattern Recognition Letters, 147, pp. 134–141. [2026 JIF (2025 JCR): 3.5]Vahidnia, S., Abbasi, A. and Abbass, H. (2021) ‘Embedding-based detection and extraction of research topics from academic documents using deep clustering’. Journal of Data and Information Science 6 (3), 99-122.Long, N. K., Sammut, K., Sgarioto, D., Garratt, M. and Abbass, H. A. (2020) ‘A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach’. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(4), pp. 523–537. [2026 JIF (2025 JCR): 6.0]Rojas, R.F., Debie, E., Fidock, J., Barlow, M., Kasmarik, K., Anavatti, S. and . (2020) ‘Electroencephalographic workload indicators during teleoperation of an unmanned aerial vehicle shepherding a swarm of unmanned ground vehicles in contested environments’. Frontiers in neuroscience 14, 40.Wang, M., Hu, J. and Abbass, H. A. (2020) ‘BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs’. Pattern Recognition, 105, p. 107381. [2026 JIF (2025 JCR): 9.1]Hussein, A., Elsawah, S. and Abbass, H. 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IEEE Transactions on Neural Networks and Learning Systems, 28(6), pp. 1331–1344. [2026 JIF (2025 JCR): 9.7]Shafi, K. and Abbass, H. (2017) ‘A survey of learning classifier systems in games’. IEEE Computational intelligence magazine 12 (1), 42-55. [2026 JIF (2025 JCR): 7.7]Wang, S. L., Shafi, K., Ng, T. F., Lokan, C. and Abbass, H. A. (2017) ‘Contrasting Human and Computational Intelligence Based Autonomous Behaviours in a Blue-Red Simulation Environment’. IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1–1. [2026 JIF (2025 JCR): 6.0]Liu, X., Merrick, K. and Abbass, H. (2017) ‘Toward electroencephalographic profiling of player motivation: a survey’. IEEE Transactions on Cognitive and Developmental Systems 10 (3), 499-513. [2026 JIF (2025 JCR): 4.9]Zhang, B., Shafi, K. and Abbass, H. (2017) ‘On benchmark problems and metrics for decision space performance analysis in multi-objective optimization’. 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[2026 JIF (2025 JCR): 7.7]El-Fiqi, H., Petraki, E. and Abbass, H. (2016) ‘Pairwise comparative classification for translator stylometric analysis’. ACM Transactions on Asian and Low-Resource Language Information Processing ….Leu, G. and Abbass, H. (2016) A multi-disciplinary review of knowledge acquisition methods: From human to autonomous eliciting agents. Knowledge-Based Systems 105, 1-22.Qiu, X., Xu, J., Tan, K. and Abbass, H. (2015) ‘Adaptive cross-generation differential evolution operators for multiobjective optimization’. IEEE Transactions on Evolutionary Computation 20 (2), 232-244. [2026 JIF (2025 JCR): 15.9]Abbass, H., Greenwood, G. and Petraki, E. (2015) ‘The N-Player Trust Game and its Replicator Dynamics’. IEEE Transactions on Evolutionary Computation, pp. 1–1. [2026 JIF (2025 JCR): 15.9]Abbass, H. A., Petraki, E., Merrick, K., Harvey, J. and Barlow, M. (2015) ‘Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges’. Cognitive Computation, pp. 1-24. 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(2014) ‘Evolutionary multi-objective resource allocation and scheduling in the Chinese navigation satellite system project’. European Journal of Operational Research. [2026 JIF (2025 JCR): 7.0]Zhao, W., Alam, S. and Abbass, H. A. (2014) ‘MOCCA-II: A multi-objective co-operative co-evolutionary algorithm’. Applied Soft Computing Journal, 23, pp. 407-416. [2026 JIF (2025 JCR): 7.8]Abbass, H. (2014) ‘The computational air traffic control brain: computational red teaming and big data for real-time seamless brain-traffic integration’. Journal of Air Traffic Control 56 (2).Nguyen, L., Bui, L. T. and Abbass, H. A. (2014) ‘DMEA-II: the direction-based multi-objective evolutionary algorithm-II’. Soft Computing, 18(11), pp. 2119-2134. [2026 JIF (2025 JCR): 2.5]Abbass, H., Tang, J., Ellejmi, M. and Kirby, S. (2014) ‘Visual and auditory reaction time for air traffic controllers using quantitative electroencephalograph (QEEG) data’. Brain informatics 1 (1), 39-45.Leu, G., Curtis, N. 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Artificial Life and Robotics 14 (4), 449-452. [2026 JIF (2025 JCR): 1.5]Macrossan, P., Kinghorn, B. and Abbass, H. (2009) ‘Cyclic genotyping strategies. III: A comparison of predictive methods for group genotyping’. JOURNAL OF ANIMAL BREEDING AND GENETICS, 126(2), pp. 117-126. [2026 JIF (2025 JCR): 1.9]Nguyen, M., Abbass, H. and Mckay, R. (2008) ‘Analysis of CCME: Coevolutionary dynamics, automatic problem decomposition, and regularization’. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 38(1), pp. 100-109. [2026 JIF (2025 JCR): N/A (superseded title)]Alam, S., Abbass, H. and Barlow, M. (2008) ‘ATOMS: Air Traffic Operations and Management Simulator’. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 9(2), pp. 209-225. [2026 JIF (2025 JCR): 9.1]Ghoneim, A., Abbass, H. and Barlow, M. (2008) ‘Characterizing game dynamics in two-player strategy games using network motifs’. 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(2003) ‘Improving genetic classifiers with a boosting algorithm’, in CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS. pp. 2596-2602.Abbass, H., Bagirov, A. and Zhang, J. (2003) ‘The discrete gradient evolutionary strategy method for global optimization’, in CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS. pp. 435-442.Teo, J. and Abbass, H. (2003) ‘Multi-objectivity for brain-behavior evolution of a physically-embodied organism’. In Artificial Life VIII: The 8th International Conference on Artificial Life.Teo, J. and Abbass, H. A. (2003) ‘Elucidating the benefits of a self-adaptive Pareto EMO approach for evolving legged locomotion in artificial creatures’, in 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. pp. 755-762.Teo, J. and Abbass, H. (2003) ‘Neuro-Morpho Evolution: What will happen if our body is not symmetric?’. In Australian Conference on Artificial Life, 261-275.Teo, J. and Abbass, H. (2003) ‘Is a self-adaptive Pareto approach beneficial for controlling embodied virtual robots?’, in GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT II, PROCEEDINGS. pp. 1612-1613.Teo, J., Nguyen, M. and Abbass, H. (2003) ‘Multi-objectivity as a tool for constructing hierarchical complexity’, in GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS. pp. 483-494.Teo, J. and Abbass, H. (2003) ‘Software verification of redundancy in neuro-evolutionary robotics’, in AI 2003: ADVANCES IN ARTIFICIAL INTELLIGENCE. pp. 302-314.Teo, J. and Abbass, H. A. (2003) ‘Software verification of redundancy in neuro-evolutionary robotics’, in Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). pp. 302-314.Hoai, N., McKay, R. and Abbass, H. (2003) ‘Bias in tree adjoining grammars’. In Proceedings of the European Conference on Genetic Programming (EUROGP).Sarker, R., Abbass, H. and Newton, C. (2003) Solving two multi-objective optimization problems using evolutionary algorithm. Computational intelligence in control, 218-233.Abbass, H. (2002) ‘The self-adaptive Pareto Differential Evolution algorithm’, in CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2. p. 2034.Liu, B., Abbass, H. and McKay, B. (2002) ‘Density-based heuristic for rule discovery with ant-miner’. In The 6th Australia-Japan joint workshop on Intelligent and Evolutionary Systems.Abbass, H., Hoai, X. and Mckay, R. (2002) ‘AntTAG: A new method to compose computer programs using colonies of ants’, in CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2. p. 2034.Wang, B., Mckay, R., Abbass, H. and Barlow, M. (2002) ‘Learning text classifier using the domain concept hierarchy’, in International Conference on Communications, Circuits and Systems. pp. 1230-1234.Barlow, M., Galloway, J. and Abbass, H. (2002) ‘Mining evolution through visualization’. In ALife VIII workshops, 103-112.Shan, Y., Abbass, H., McKay, R. and Essam, D. (2002) ‘AntTAG: a further study’. In Proceedings of the Sixth Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems.Teo, J. and Abbass, H. (2002) ‘Trading-off mind complexity and locomotion in a physically simulated quadruped’. In Proceedings of the 4th Asia-Pacific conference on simulated evolution and ….Teo, J. and Abbass, H. (2002) ‘Coordination and synchronization of locomotion in a virtual robot’, in 9th International Conference on Neural Information Processing. pp. 1931-1935.Abbass, H., Towsey, M., Kozan, E. and Werf, J.V.D. (2002) A Markov Chain Tabu Search Approach to the Evolutionary Allocation Problem. Operations Research/Management Science at Work, 71-91.Abbass, H., Sarker, R. and Newton, C. (2001) ‘PDE: A Pareto-frontier differential evolution approach for multi-objective optimization problems’, in PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2. p. 1441.Abbass, H. (2001) ‘MBO: Marriage in honey bees optimization a haplometrosis polygynous swarming approach’, in PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2. p. 1441.Abbass, H. A. (2001) ‘A memetic pareto evolutionary approach to artificial neural networks’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 1-12.Abbass, H. (2001) ‘A monogenous MBO approach to satisfiability’. In Proceeding of the international conference on computational intelligence for ….Abbass, H. (2001) ‘A single queen single worker honey–bees approach to 3-SAT’. In Proceedings of the 3rd annual conference on genetic and evolutionary ….Abbass, H. (2001) ‘A monogenous MBO approach to satisfiability, in The International Conference on Computational Intelligence for Modelling’. In Control and Automation, CIMCA.Sarker, R., Abbass, H. and Karim, S. (2001) ‘An evolutionary algorithm for constrained multiobjective optimization problems’. In The 5th Australasia-Japan Joint Workshop. University of Otago, Dunedin, New Zealand.McKay, R. and Abbass, H. (2001) ‘Analyzing anticorrelation in ensemble learning’. In Proceedings of 2001 conference on Artificial Neural Networks and Expert Systems.Abbass, H. and Sarker, R. (2001) ‘Simultaneous evolution of architectures and connection weights in ANNs’. In Proceedings of Artificial Neural Networks and Expert System Conference, 16-21.McKay, R. and Abbass, H. (2001) ‘Anticorrelation measures in genetic programming’. In Australasia-Japan Workshop on Intelligent and Evolutionary Systems, 45-51.Darbyshire, P., Abbass, H., Barlow, M. and McKay, R. (2000) ‘A prototype design for studying emergent battlefield behaviour through multi-agent simulation’. In Proceedings of the Japan-Australia Workshop on Intelligent and Evolutionary Systems, 71-78.Macrossan, P., Abbass, H., Mengersen, K., Towsey, M. and Finn, G. (1999) ‘Bayesian neural network learning for prediction in the Australian dairy industry’, in ADVANCES IN INTELLIGENT DATA ANALYSIS, PROCEEDINGS. pp. 395-406.Abbass H.A., Bligh W., Towsey M, Finn G, and Tierney M. (1999) ‘Knowledge discovery in a dairy cattle database: (Automated knowledge acquisition) ’, in Proceedings of the Fifth International Conference of The International Society for Decision Support Systems (ISDS'99), Melbourne, Australia, July.Abbass H.A., Wiggen G., Lakshmanan R. and Morton B. (1999) ‘Constraint Programming for Process Synthesis’, in The first international conference on the Practical Application of Constraint Technologies and Logic Programming (PACLP99), London, UK, April.Abbass, H., Finn, G. and Towsey, M. (1999) ‘A meta-representation for integrating OR and AI in an intelligent decision support paradigm’. In Proceedings of the 15th National Conference of The Australian Society for ….Abbass, H., Wiggins, G., Lakshmanan, R. and Morton, B. (1999) ‘Integrating optimisation and search: An Intelligent Tool for Chemical Process Synthesis’. In Proceedings of Practical Applications of Logic Programming.Abbass, H., Bligh, W., Towsey, M., Tierney, M. and Finn, G. (1999) Knowledge discovery in a dairy cattle database: Automated knowledge acquisition. Proc. 1999 Meeting of the International Society for Decision Support Systems 15.Abbass H.A., Towsey M. And Finn G. (1998) ‘An intelligent decision support system for dairy cattle mate-allocation’, in The Australian workshop for intelligent decision support and knowledge management (AWIDS'98), Sydney, Australia.Abbass, H., Towsey, M. and Finn, G. (1998) ‘OR and data mining for intelligent decision support in the Australian dairy industry's breeding program’. In Proceedings of New Research in OR, ASOR, Brisbane, 1-23.Abbass, H., Bahgat, R. and Rasmy, M. (1997) ‘From constraint logic programming (CLP) to decision making logic programming (DMLP)’. In First European Conference on Intelligent Management Systems in Operations, Salford University, UK.Abbass H.A., Bahgat R.M.R., and Rasmy M.H. (1996) ‘The front-end of an intelligent goal programming system’, in 6th. International conference on computer theory and applications, Alex., Egypt, Sept..Abbass H.A., Bahgat R.M.R., and Rasmy M.H. (1995) ‘Evaluation of constraint logic programming from an operations research point of view’, in The 3rd International conference on artificial intelligence, American University in Cairo, Egypt.Abbass, H. A. (2026) Ethics Assurance in Swarm Engineering: Moral Vectoring Design Pattern for Decentralised Artificial Intelligence.Wasswa, H., Abbass, H. and Lynar, T. (2026) How the Graph Construction Technique Shapes Performance in IoT Botnet Detection. arXiv preprint arXiv:2603.06654.Hepworth, A., Assaad, Z., Wyatt, A. and Abbass, H. (2026) Meaningful Human Command: Towards a New Model for Military Human-Robot Interaction. arXiv preprint arXiv:2604.06611.Wasswa, H., Abbass, H. and Lynar, T. (2025) A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies. arXiv preprint arXiv:2511.03201.Wasswa, H., Abbass, H. and Lynar, T. (2025) Are GNNs worth the effort for IoT botnet detection? A comparative study of VAE-GNN vs. ViT-MLP and VAE-MLP approaches. arXiv preprint arXiv:2505.17363.Wasswa, H., Abbass, H. and Lynar, T. (2025) Graph attention neural network for botnet detection: Evaluating autoencoder, vae and pca-based dimension reduction. arXiv preprint arXiv:2505.17357.Akay, T., Tolley, H. and Abbass, H. (2025) Information-Theoretic Aggregation of Ethical Attributes in Simulated-Command. arXiv preprint arXiv:2507.12862.Abbass, H., Akay, T. and Tolley, H. (2025) Information-Theoretic Aggregation of Ethical Attributes in Simulated-Command. arXiv e-prints, arXiv: 2507.12862.Baxter, D., Hussein, A. and Abbass, H. (2024) ‘Interpretability of Swarm State Tensors using Neural Machine Translation’. TechRxiv 2024 (0806).Liu, J., Singh, H., Elsayed, S., Hunjet, R. and Abbass, H. (2023) Planning-assisted autonomous swarm shepherding with collision avoidance. arXiv preprint.Nguyen, D., Kasmarik, K. and Abbass, H. (2022) Fusing interpretable knowledge of neural network learning agents for swarm-guidance. arXiv preprint arXiv:2204.00272.Dam, T., Anavatti, S. and Abbass, H. (2021) Improving clustergan using self-augmented information maximization of disentangling latent spaces. arXiv preprint arXiv:2107.12706.Dam, T., Swami, N., Anavatti, S. and Abbass, H. (2021) Multi-fake evolutionary generative adversarial networks for imbalance hyperspectral image classification. arXiv preprint arXiv:2111.04019.Hepworth, A., yaxley, K., Baxter, D., Joiner, K. and Abbass, H. (2020) Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures.Nguyen, T., Kasmarik, K. and Abbass, H. (2020) An exact transformation from deep neural networks to multi-class multivariate decision trees. arXiv preprint arXiv:2003.04675.Nguyen, H., Nguyen, T., Tran, V., Garratt, M., Kasmarik, K., Anavatti, S. and . (2020) Continuous deep hierarchical reinforcement learning for ground-air swarm shepherding. arXiv preprint arXiv:2004.11543.Nguyen, T., Kasmarik, K. and Abbass, H. (2020) Q-Learning with Differential Entropy of Q-Tables. arXiv preprint arXiv:2006.14795.Nguyen, D., Kasmarik, K. and Abbass, H. (2020) Towards interpretable ANNs: An exact transformation to multi-class multivariate decision trees. arXiv preprint arXiv:2003.04675.Nguyen, H., Tran, V., Nguyen, T., Garratt, M., Kasmarik, K., Barlow, M., Anavatti, S. and . (2018) Apprenticeship bootstrapping via deep learning with a safety net for UAV-UGV interaction. arXiv preprint arXiv:1810.04344.Abbass, H., Harvey, J. and Yaxley, K. (2018) Lifelong testing of smart autonomous systems by shepherding a swarm of watchdog artificial intelligence agents. arXiv preprint arXiv:1812.08960.Hussein, A., Ghignone, L., Nguyen, T., Salimi, N., Nguyen, H., Wang, M. and . (2018) Towards bi-directional communication in human-swarm teaming: A survey. arXiv preprint arXiv:1803.03093.Abbass, H. (2017) An AI professor explains: three concerns about granting citizenship to robot Sophia. The conversation.Iorio, A., Abbass, H., Gaidow, S. and Bender, A. (2014) Visualizing cognitive moves for assessing information perception biases in decision making. arXiv preprint arXiv:1401.7193.Abbass, H., Bender, A. and Gaidow, S. (2010) Evolutionary computation for risk assessment using computational red teaming. Proc. IEEE World Congr. Computational Intelligence, Plenary and Invited Lectures.Whitacre, J., Bender, A., Baker, S., Fan, Q., Sarker, R. and Abbass, H. (2009) Network topology and time criticality effects in the modularised fleet mix problem. arXiv preprint arXiv:0907.0597.Wesolkowski, S., Mazurek, M., Whitacre, J., Bender, A. and Abbass, H. (2009) Robustness and Adaptiveness Analysis of Future Fleets. arXiv preprint arXiv:0907.0598.Alam, S., Tang, J., Lokan, C. and Abbass, H. (2009) An assessment of BADA fuel flow methodologies for in-trail procedure evaluation. Defence & Security Applications Research Centre, University of New South ….Yang, A., Curtis, N., Abbass, H. and Sarker, R. (2008) NCMAA: A network centric multi-agent architecture for modelling complex adaptive systems. The Artificial Life and Adaptive Robotics Laboratory Technical Report Series.Alam, S., Shafi, K., Abbass, H. and Barlow, M. (2007) ‘Evolving air traffic scenarios for the evaluation of conflict detection models’. In Proc. 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experiment Centre, Brétigny, France.Nguyen, M., Alam, S., Tang, J. and Abbass, H. (2007) ‘Ants-inspired dynamic weather avoidance trajectories in a traffic constrained enroute airspace’ In Proc. 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experiment Centre, Brétigny, France.Nguyen, M., Alam, S., Tang, J. and Abbass, H. (2007) ‘Dynamic weather avoidance trajectories in a traffic constrained en route airspace’. In Proc. 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experiment Centre, Brétigny, France.Vallis, R., Yang, Y. and Abbass, H. (2006) Disciplinary approaches to terrorism: A survey. ALAR–The Artificial Life and Adaptive Robotics Laboratory: Technical Reports.Alam, S., Abbass, H., Barlow, M. and Lindsay, P. (2006) Multi-objective ant colony optimization for weather avoidance in a free flight environment. The Artificial Life and Adaptive Robotics Laboratory, University of New South Wales.Sawah, S., Abbass, H. and Sarker, R. (2006) Risk in interdependent systems: a framework for analysis and mitigation through orchestrated adaptation. Technical Report TR-ALAR-200611013, University of New South Wales.Dam, H., Abbass, H. and Lokan, C. (2006) ‘BCS: a Bayesian learning classifier system’. Tech. Rep. TR-ALAR-200604005, The Artificial Life and Adaptic Robotics …. [2026 JIF (2025 JCR): 1.5]Yang, A., Abbass, H. and Sarker, R. (2005) A comparison study of WISDOM and MANA in a networked environment. Technical Report TR-ALAR-200512001, University of New South Wales, ADFA ….Yang, A., Abbass, H., Sarker, R. and Barlow, M. (2005) Network centric multi-agent systems: A novel architecture. Artificial Life and Adaptive Robotics Laboratory, ALAR Technical Report.Abbass, H., Sastry, K. and Goldberg, D. (2005) Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non--Stationary Environments. arXiv preprint cs/0502021.Abbass, H., Sastry, K. and Goldberg, D. (2004) Oiling the wheels of change: The role of adaptive automatic problem decomposition in non-stationary environments (IlliGAL Report No. 2004029). Urbana, IL: University of Illinois at Urbana-Champaign, Illinois Genetic ….Abbass, H., Bacardit, J., Butz, M. and Llora, X. (2004) Online adaptation in learning classifier systems: stream data mining. Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana ….Sastry, K., Abbass, H. and Goldberg, D. (2004) Sub-structural niching in non-stationary environments (IlliGAL Report No. 2004035). Urbana, IL: Illinois Genetic Algorithms Laboratory, University of Illinois ….Teo, J. and Abbass, H. (2001) An annealing approach to the mating-flight trajectories in the marriage in honey bees optimization algorithm Technical Report CS04/01. Academic Press, School of Computer Science, University of New South Wales at ….Abbass, H., Towsey, M. and Finn, G. (1998) ‘An intelligent decision support system for dairy cattle mate-allocation’. In Proceedings of the third Australian workshop on intelligent decision support ….Abbass H.A. (1998) ‘A quadratic optimiser in a constraint logic programming paradigm’. The workshop of constraint, 11th Australia Joint Conference in Artificial Intelligence, Australia, 1998.Abbass, Alam and Pham (12/2008) TOP-LAT: Trajectory Optimisation and Prediction of Live Air Traffic.Abbass, Alam and Tang (12/2008) RTA-COPACS: A Real Time Airspace COmplexity Prediction And Computation System.Abbass and Alam (12/2008) UOSAD: A User Oriented Structuring of Airspace Data using a Novel Hierarchical Representation.Abbass and Shafi (12/2008) TASET: Real-Time and Adaptive Signature Extraction and Classification SysTem.Abbass, Alam, Barlow, Tang, Shafi, Nguyen and Truong (6/2008) Air Traffic Operations & Management Simulator (ATOMS).
Research
Grants
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2020-2024 ($580,000), Abbass, Elsawah, and Petraki. Machine education for trusted multi-skilled evolutionary learners, DP200101211, ARC Discovery
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2016-2020 ($560,000), Abbass, Merrick, Tan (PI - Int. Investigator), Bezerianos (PI - Int. Investigator) User-task co- adaptation for effective interactive simulation environments, DP160102037, ARC Discovery
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2014-2016 ($399,000) Abbass, Challenging systems to discover vulnerabilities using computational red teaming, DP140102590, ARC Discovery
2020-2024 ($580,000), Abbass, Elsawah, and Petraki. Machine education for trusted multi-skilled evolutionary learners, DP200101211, ARC Discovery2016-2020 ($560,000), Abbass, Merrick, Tan (PI - Int. Investigator), Bezerianos (PI - Int. Investigator) User-task co- adaptation for effective interactive simulation environments, DP160102037, ARC Discovery2014-2016 ($399,000) Abbass, Challenging systems to discover vulnerabilities using computational red teaming, DP140102590, ARC Discovery2011-2013 ($315,000 (ARC) + $120,000 (Air Services Australia)), Abbass, Lokan, Aldis, Dunstone, and Butcher, New real-time risk indicators to improve the efficiency, environmental impact and safety of air traffic management, LP110100488, ARC Linkage2011 ($500,000) Radom, Cairns, Crawford, Shen, Wade, Wilkins, Abbass, Dzurak, Evans, Wen, Poulton, Arnold, Botten, Ford, Rahmani, O'Neill, Cheung, Johnson, Henskens, Borwein, Marchant, Hagenbuchner, Tieu, Rose, Gillies, Harrison, Waters, Leedham, Murison, “Flexible architecture high-performance computing facility for the intersect consortium of New South Wales”, LE110100143, ARC LIEF2009-2011 ($360,000), Green and Abbass, Dual Phase Evolution in Networks, DP0987832, ARC Discovery2009 ($500,000), Poulton, Botten, Ford, Rahmani, Armfield, Kuyucak, Lewis, McPhedran, Muller, Radom, Abbass, Ball, Bursill, England, Khanna, Leonardi, Pitman, Wilkins, Esselle, Ranganathan, Steel, Henskens, EI von Nagy-Felsobuki, Marchant, “A high performance computing cluster and storage for the INTERSECT Consortium of NSW”, LE0989506, ARC LIEF2006-2008 ($306,000), Barlow and Abbass, Defence and Security Risk Assessment using Agent Based Distillations, DP0667123, ARC Discovery2005 ($15,000), Abbass and Yao (International) - Ensembles of Collaborative Neural Networks. LX0561255, ARC Linkage International2004-2008 ($1,950,000), Mendis, Lai, Dawson, Abbass, Ahmad, Batten, Bennetts, Bradford, Brooks, Burman, Caelli, Duffield, Fraser, Fragomeni, Garratt, Green, Grzebieta, Halgamuge, Hao, Horadam, Hutchinson, Jamalipour, Kotagiri, Kubik, Lambert, Lindsay, Lu, Mareels, Melchers, Miley, Mojarrabi, Pan, Pieprzyk, Petersen, Rubinov, Safavi-Naini, Schneider, Seberry, Singh, Sridharan, Stewart, Taylor, Van Deventer, Varadharajan, Warren, Weber, Williams, Wilson, Xie, Zhao, “Research Network for a Secure Australia (RNSA)”, RN0459557, ARC Networks2004-2008 ($1,500,000), Dewar, Abbass, Aste, Ball, Batchelor, Batten, Bernhardt, Bossomaier, Bradbury, Cairns, Chong, Denier, Farquhar, Finnigan, Frederiksen, Freeman, Gottwald, Grebogi, Green, Griffiths, Guttmann, Hamer, Hegland, Henry, Heyde, Liley, Lindsay, MacKay, Little, Metcalfe, Milne, Morriss, Owczarek, Pattison, Prokopenko, Quispel, Raupach, Roberts, Robinson, Robson, Shats, Sloan, Soria, Standish, Vincent, Vladimirov, Walker, Wiles, Williams, and Wilson, “Complex Open Systems Network (COSNet)”, RN0460006, ARC Networks2004-2006 ($513,934 (ARC) + $150,000 (NCR)), Jarrat, Bossomaier, and Abbass, Scenario Driven Management in a Network Environment, LP0453657, ARC Linkage2003-2008 ($5,250,000), Lindsay, Abbass, Abramson, Adams, Burrage, Dromey, Foster, Green, Hayes, Kaplan, McLachlan, Pailthorpe, Quiggin, and Sanderson, The ARC Centre for Complex Systems (ACCS), CE0348249, ARC Centre of Excellence2003-2004 ($20,000), Lai, Abbass, Arnold, Bergin, Bradley, Brooks, Fraser, Green, Hall, Harch, Heslehurst, Hutchison, Lambert, Lawrence, Lennard, Lindsay, Miley “Network for Australian security technologies integration”, ARC Seed Funding for Networks2020-2024 ($580,000), Abbass, Elsawah, and Petraki. Machine education for trusted multi-skilled evolutionary learners, DP200101211, ARC Discovery2016-2020 ($560,000), Abbass, Merrick, Tan (PI - Int. Investigator), Bezerianos (PI - Int. Investigator) User-task co- adaptation for effective interactive simulation environments, DP160102037, ARC Discovery2014-2016 ($399,000) Abbass, Challenging systems to discover vulnerabilities using computational red teaming, DP140102590, ARC Discovery2011-2013 ($315,000 (ARC) + $120,000 (Air Services Australia)), Abbass, Lokan, Aldis, Dunstone, and Butcher, New real-time risk indicators to improve the efficiency, environmental impact and safety of air traffic management, LP110100488, ARC Linkage2011 ($500,000) Radom, Cairns, Crawford, Shen, Wade, Wilkins, Abbass, Dzurak, Evans, Wen, Poulton, Arnold, Botten, Ford, Rahmani, O'Neill, Cheung, Johnson, Henskens, Borwein, Marchant, Hagenbuchner, Tieu, Rose, Gillies, Harrison, Waters, Leedham, Murison, “Flexible architecture high-performance computing facility for the intersect consortium of New South Wales”, LE110100143, ARC LIEF2009-2011 ($360,000), Green and Abbass, Dual Phase Evolution in Networks, DP0987832, ARC Discovery2009 ($500,000), Poulton, Botten, Ford, Rahmani, Armfield, Kuyucak, Lewis, McPhedran, Muller, Radom, Abbass, Ball, Bursill, England, Khanna, Leonardi, Pitman, Wilkins, Esselle, Ranganathan, Steel, Henskens, EI von Nagy-Felsobuki, Marchant, “A high performance computing cluster and storage for the INTERSECT Consortium of NSW”, LE0989506, ARC LIEF2006-2008 ($306,000), Barlow and Abbass, Defence and Security Risk Assessment using Agent Based Distillations, DP0667123, ARC Discovery2005 ($15,000), Abbass and Yao (International) - Ensembles of Collaborative Neural Networks. LX0561255, ARC Linkage International2004-2008 ($1,950,000), Mendis, Lai, Dawson, Abbass, Ahmad, Batten, Bennetts, Bradford, Brooks, Burman, Caelli, Duffield, Fraser, Fragomeni, Garratt, Green, Grzebieta, Halgamuge, Hao, Horadam, Hutchinson, Jamalipour, Kotagiri, Kubik, Lambert, Lindsay, Lu, Mareels, Melchers, Miley, Mojarrabi, Pan, Pieprzyk, Petersen, Rubinov, Safavi-Naini, Schneider, Seberry, Singh, Sridharan, Stewart, Taylor, Van Deventer, Varadharajan, Warren, Weber, Williams, Wilson, Xie, Zhao, “Research Network for a Secure Australia (RNSA)”, RN0459557, ARC Networks2004-2008 ($1,500,000), Dewar, Abbass, Aste, Ball, Batchelor, Batten, Bernhardt, Bossomaier, Bradbury, Cairns, Chong, Denier, Farquhar, Finnigan, Frederiksen, Freeman, Gottwald, Grebogi, Green, Griffiths, Guttmann, Hamer, Hegland, Henry, Heyde, Liley, Lindsay, MacKay, Little, Metcalfe, Milne, Morriss, Owczarek, Pattison, Prokopenko, Quispel, Raupach, Roberts, Robinson, Robson, Shats, Sloan, Soria, Standish, Vincent, Vladimirov, Walker, Wiles, Williams, and Wilson, “Complex Open Systems Network (COSNet)”, RN0460006, ARC Networks2004-2006 ($513,934 (ARC) + $150,000 (NCR)), Jarrat, Bossomaier, and Abbass, Scenario Driven Management in a Network Environment, LP0453657, ARC Linkage2003-2008 ($5,250,000), Lindsay, Abbass, Abramson, Adams, Burrage, Dromey, Foster, Green, Hayes, Kaplan, McLachlan, Pailthorpe, Quiggin, and Sanderson, The ARC Centre for Complex Systems (ACCS), CE0348249, ARC Centre of Excellence2003-2004 ($20,000), Lai, Abbass, Arnold, Bergin, Bradley, Brooks, Fraser, Green, Hall, Harch, Heslehurst, Hutchison, Lambert, Lawrence, Lennard, Lindsay, Miley “Network for Australian security technologies integration”, ARC Seed Funding for Networks
Research Team
Team
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Taylan Akay: TEVV
joint supervisor with Roland Goecke principal supervisor and Adam Hepworth co-supervisor
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Ettilla Mohiuddin Eumi: HST
joint supervisor with Roland principal joint and Nadine Marcus co-supervisor
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Noha Mohamed Abuaesh: Traceable NN
joint supervisor with Heba Elfiqi principal supervisor
Alaa Zaki Elfiqi: robotics/AIAbdullah Mohammed: robotics/AIDavid Majji: robotics/AIBenjamin Kereopa-Yorke: Cyber-AITaylan Akay: TEVVEttilla Mohiuddin Eumi: HSTNoha Mohamed Abuaesh: Traceable NNWasswa, Hassan: A Deep Learning-Based Approach for Detection and Tracking of IoT Botnet ActivitiesYaxley, Kate: Effectiveness in shepherding-based human-swarm guidanceBaxter, Daniel: Ontology-Guided Neural Translation of Human-Swarm Teaming State SpaceSherif, Reem: Computational Intelligence for Cooperative Swarm ControlGhignone, Leo: Reinforcement Learning for Swarm Systems: Tackling limited computational resources and decentralised learning under communication constraintsHepworth, Adam: Context Awareness in Swarm SystemsDong, Xingshuai: Visual Guidance for Unmanned Aerial Vehicles with Deep LearningVahidnia, Sahand: Deep and Temporal Ontology Guided Clustering Methods and Representation Learning for Topic Detection and TrackingNguyen, Hung: Apprenticeship Bootstrapping for Autonomous Aerial Shepherding of Ground SwarmIvanova, Ksenia: Multi-Method Framework for Development of Systemic, Technology-Driven Capability ConceptsNguyen, Tung: Interpretable Knowledge Transfer in Communicative Neural-based Swarm-Guidance AgentsLiu, Jing: Ant Colony Optimisation for Multi-Uncrewed Ground Vehicle Mission PlanningDam, Tanmoy: Developing Generative Adversarial Networks for Classification and Clustering: Overcoming Class Imbalance and Catastrophic ForgettingHussein, Aya: Performance, Trust, and Transparency for Effective Human-Swarm InteractionWang, Min: Learning EEG Biometrics for Person Identification and AuthenticationLiu, Xuejie: Methodologies for electroencephalographic profiling of achievement, affiliation and power motivation using a computer gameYoung, Leon: Engineering Strategic ThinkingNguyen, Hung: Apprenticeship Bootstrapping: Multi-Skill Reinforcement Learning for Autonomous Unmanned Aerial VehiclesNguyen, Tung: K-line Reinforcement Learning for context-aware botsHarvey, John: Predicting human identification of swarming using chaos measuresCoutts, Andrew: Decision Making in Crisis: A Bayesian Influence Diagram Methodology for Modelling Critical and Time-Constrained Political-Strategic Decision MakingHossain, Md Murad: On Capacity Estimation and Capacity-Safety Relationship in an Air Transportation NetworkWhite, Alan: Tendering Campaigns for Strategic Defence EquipmentZhang, Bin: Online Knowledge-based Evolutionary Multi-objective OptimisationRen, Shen: On Psycho-physiological Player-centric Game ExperiencesWang, Bing: Autonomous Hypothesis Generation for Knowledge Discovery in Continuous DomainsEl-Fiqi, Heba: Detection of Translator Stylometry using Pair-wise Comparative Classification and Network Motif MiningLeu, George: A “Society of Mind” agent architecture. A case study to modelling human behaviour in road trafficWang, Kun: Human-Guided Evolutionary-Based Linguistics Approach for Automatic Story GenerationWang, Shir Li: Adversarial Learning through Red Teaming: From Data to BehaviourZhao, Wenjing: On Dynamic Capacity-Demand Balance in the Terminal Area Using Multi-objective Co-evolutionary Computational Red TeamingGhoneim, Amr: On Competency of Go Players: A Computational ApproachPham, Van Viet: Optimisation Algorithms and Heuristics for Aircraft User-Preferred Routes and their Environmental ImpactTang, Jiangjun: Large Scale Multi-Objective Optimization for Dynamic Airspace SectorizationHarno, Hendra Gunawan: Evolutionary method in the design of robust control systemsChen, Kuang-Yuan (Steven): Multi-agent Systems for Free-Flight Air-Traffic ControlYeh, Yu-Hui (Flora): Active LearningShafi, Kamran: An online and adaptive signature-based approach for intrusion detection using learning classifier systemsAlam, Sameer: Evolving complexity towards risk: a massive scenario generation approach for evaluating advanced air traffic management conceptsDam, Hai Huong: A scalable evolutionary learning classifier system for knowledge discovery in stream data miningBadham, Jennifer: The Role of social network properties on the impact of direct contact epidemicsBui, Lam Thu: The role of communication messages and explicit niching in distributed evolutionary multi-objective optimizationYang, Ang: A networked multi-agent combat model: emergence explainedNguyen, Minh Ha: Cooperative coevolutionary mixture of experts: a neuro ensemble approach for automatic decomposition of classification problemsShan, Yin: Program distribution estimation with grammar modelsNguyen, Xuan Hoai: Flexible representation for genetic programming: lessons from natural language processingLennon, Paula: DNA costingHoek, Peter: Visual Encoding Approaches for Temporal Social NetworksTeo, Jason T. W.: Pareto multi-objective evolution of legged embodied organismsAmin, Shajoti: Play and Protect: Exploring Game-Based Learning for Cyber Safety in Primary EducationLong, Nathan: Multi-vessel sea state estimation using artificial neural networks and vessel response spectral dataYang, Zhaoyang: Deep Reinforcement Learning for Continuous Action ControlHassan, Marwa: Hidden-Markov-Based Self-adaptive Differential EvolutionAmin, Rubai: Simulation Fidelity, Abstraction and Resolution in Real-Time Multi-objective Optimisation of Air Traffic ComplexityHossain, Md Murad: Identification of hard instances and backbones in 3-SAT using network theory and network guided decompositionGhoneim, Ayman Ahmed Sabry Abdel Rahman: Local-global coupling in strategy games: extracting signatures and unfolding dynamicsDr Tran Nguyen: RoboticsMr Utkarsh Sharma: AIMs Zora KerrMr Sam MoloneyMr Tristan KellyDr Taylan AkayMr Harrison TolleyDr Mindika Premachandra: Modelling and MetricsDr Anu AraDr Dua Ahmed: Deep Learning and VisionMr Sam CartwrightDr. Dilini Samarasinghe Widana ArachchigeDr. Aya Hussein: Machine EducationDr. Jing Liu: Context Aware SwarmDr. Tung Nguyen: Context Aware SwarmDr. Essam Debie: Contextually-aware Swarm GuidanceDr. Heba El-Fiki: Contextually-aware Swarm GuidanceDr. Mohammed Hossny: Data Science and AI ProjectMs. Josephine Plested: Data Science and AI ProjectDr. Min Wang: User-task co-adaptation for effective interactive simulation environmentsDr. John Warmenhoven: Data Science and AI ProjectDr. Raul Fernandez Rojas: Human PerformanceDr. Jiangjun Tang: Human PerformanceDr. Tauseef Gulrez: User-task co-adaptation for effective interactive simulation environmentsDr. George Leu: Computational Red TeamingDr. Ayman Ghoneim: Risk Assessment for Air Traffic ManagementMr. William Zhao: Air Traffic ManagementMr. Rubai Amin: Air Traffic ManagementDr. Deborah Tucek: LinguisticsDr. Murray Mount: Neuro-scienceDr. Sameer Alam: Air Traffic ManagementDr. Vinh Quang Bui: Computational StorytellingMr. Fan Qi: Computational ModellingDr. Kamran Shafi: Defence LogisticsMs. Irina Coleman: PsychologyProf. Jing Lui: Networks and ComplexityDr. Weicai Zhong: Game TheoryMr. Ahmed Darwish: Computational ModellingDr. Antony Iorio: Risk Attitude of Strategic Decision MakersDr. James Whiteacre: Complex Systems and Defence LogisticsDr. Lam Bui: Evolutionary Risk ManagementDr. Minh Ha Nguyen: Complex Systems for Air Traffic ManagementDr. Ang Yang: Defence and Security Risk AssessmentMr. Paul McCarthy: Computational ModellingDr. Yubin Yang: Network MiningDr. Yin Shan: Defence LogisticsAlaa Zaki Elfiqi: robotics/AIAbdullah Mohammed: robotics/AIDavid Majji: robotics/AIBenjamin Kereopa-Yorke: Cyber-AITaylan Akay: TEVVEttilla Mohiuddin Eumi: HSTNoha Mohamed Abuaesh: Traceable NNWasswa, Hassan: A Deep Learning-Based Approach for Detection and Tracking of IoT Botnet ActivitiesYaxley, Kate: Effectiveness in shepherding-based human-swarm guidanceBaxter, Daniel: Ontology-Guided Neural Translation of Human-Swarm Teaming State SpaceSherif, Reem: Computational Intelligence for Cooperative Swarm ControlGhignone, Leo: Reinforcement Learning for Swarm Systems: Tackling limited computational resources and decentralised learning under communication constraintsHepworth, Adam: Context Awareness in Swarm SystemsDong, Xingshuai: Visual Guidance for Unmanned Aerial Vehicles with Deep LearningVahidnia, Sahand: Deep and Temporal Ontology Guided Clustering Methods and Representation Learning for Topic Detection and TrackingNguyen, Hung: Apprenticeship Bootstrapping for Autonomous Aerial Shepherding of Ground SwarmIvanova, Ksenia: Multi-Method Framework for Development of Systemic, Technology-Driven Capability ConceptsNguyen, Tung: Interpretable Knowledge Transfer in Communicative Neural-based Swarm-Guidance AgentsLiu, Jing: Ant Colony Optimisation for Multi-Uncrewed Ground Vehicle Mission PlanningDam, Tanmoy: Developing Generative Adversarial Networks for Classification and Clustering: Overcoming Class Imbalance and Catastrophic ForgettingHussein, Aya: Performance, Trust, and Transparency for Effective Human-Swarm InteractionWang, Min: Learning EEG Biometrics for Person Identification and AuthenticationLiu, Xuejie: Methodologies for electroencephalographic profiling of achievement, affiliation and power motivation using a computer gameYoung, Leon: Engineering Strategic ThinkingNguyen, Hung: Apprenticeship Bootstrapping: Multi-Skill Reinforcement Learning for Autonomous Unmanned Aerial VehiclesNguyen, Tung: K-line Reinforcement Learning for context-aware botsHarvey, John: Predicting human identification of swarming using chaos measuresCoutts, Andrew: Decision Making in Crisis: A Bayesian Influence Diagram Methodology for Modelling Critical and Time-Constrained Political-Strategic Decision MakingHossain, Md Murad: On Capacity Estimation and Capacity-Safety Relationship in an Air Transportation NetworkWhite, Alan: Tendering Campaigns for Strategic Defence EquipmentZhang, Bin: Online Knowledge-based Evolutionary Multi-objective OptimisationRen, Shen: On Psycho-physiological Player-centric Game ExperiencesWang, Bing: Autonomous Hypothesis Generation for Knowledge Discovery in Continuous DomainsEl-Fiqi, Heba: Detection of Translator Stylometry using Pair-wise Comparative Classification and Network Motif MiningLeu, George: A “Society of Mind” agent architecture. A case study to modelling human behaviour in road trafficWang, Kun: Human-Guided Evolutionary-Based Linguistics Approach for Automatic Story GenerationWang, Shir Li: Adversarial Learning through Red Teaming: From Data to BehaviourZhao, Wenjing: On Dynamic Capacity-Demand Balance in the Terminal Area Using Multi-objective Co-evolutionary Computational Red TeamingGhoneim, Amr: On Competency of Go Players: A Computational ApproachPham, Van Viet: Optimisation Algorithms and Heuristics for Aircraft User-Preferred Routes and their Environmental ImpactTang, Jiangjun: Large Scale Multi-Objective Optimization for Dynamic Airspace SectorizationHarno, Hendra Gunawan: Evolutionary method in the design of robust control systemsChen, Kuang-Yuan (Steven): Multi-agent Systems for Free-Flight Air-Traffic ControlYeh, Yu-Hui (Flora): Active LearningShafi, Kamran: An online and adaptive signature-based approach for intrusion detection using learning classifier systemsAlam, Sameer: Evolving complexity towards risk: a massive scenario generation approach for evaluating advanced air traffic management conceptsDam, Hai Huong: A scalable evolutionary learning classifier system for knowledge discovery in stream data miningBadham, Jennifer: The Role of social network properties on the impact of direct contact epidemicsBui, Lam Thu: The role of communication messages and explicit niching in distributed evolutionary multi-objective optimizationYang, Ang: A networked multi-agent combat model: emergence explainedNguyen, Minh Ha: Cooperative coevolutionary mixture of experts: a neuro ensemble approach for automatic decomposition of classification problemsShan, Yin: Program distribution estimation with grammar modelsNguyen, Xuan Hoai: Flexible representation for genetic programming: lessons from natural language processingLennon, Paula: DNA costingHoek, Peter: Visual Encoding Approaches for Temporal Social NetworksTeo, Jason T. W.: Pareto multi-objective evolution of legged embodied organismsAmin, Shajoti: Play and Protect: Exploring Game-Based Learning for Cyber Safety in Primary EducationLong, Nathan: Multi-vessel sea state estimation using artificial neural networks and vessel response spectral dataYang, Zhaoyang: Deep Reinforcement Learning for Continuous Action ControlHassan, Marwa: Hidden-Markov-Based Self-adaptive Differential EvolutionAmin, Rubai: Simulation Fidelity, Abstraction and Resolution in Real-Time Multi-objective Optimisation of Air Traffic ComplexityHossain, Md Murad: Identification of hard instances and backbones in 3-SAT using network theory and network guided decompositionGhoneim, Ayman Ahmed Sabry Abdel Rahman: Local-global coupling in strategy games: extracting signatures and unfolding dynamicsDr Tran Nguyen: RoboticsMr Utkarsh Sharma: AIMs Zora KerrMr Sam MoloneyMr Tristan KellyDr Taylan AkayMr Harrison TolleyDr Mindika Premachandra: Modelling and MetricsDr Anu AraDr Dua Ahmed: Deep Learning and VisionMr Sam CartwrightDr. Dilini Samarasinghe Widana ArachchigeDr. Aya Hussein: Machine EducationDr. Jing Liu: Context Aware SwarmDr. Tung Nguyen: Context Aware SwarmDr. Essam Debie: Contextually-aware Swarm GuidanceDr. Heba El-Fiki: Contextually-aware Swarm GuidanceDr. Mohammed Hossny: Data Science and AI ProjectMs. Josephine Plested: Data Science and AI ProjectDr. Min Wang: User-task co-adaptation for effective interactive simulation environmentsDr. John Warmenhoven: Data Science and AI ProjectDr. Raul Fernandez Rojas: Human PerformanceDr. Jiangjun Tang: Human PerformanceDr. Tauseef Gulrez: User-task co-adaptation for effective interactive simulation environmentsDr. George Leu: Computational Red TeamingDr. Ayman Ghoneim: Risk Assessment for Air Traffic ManagementMr. William Zhao: Air Traffic ManagementMr. Rubai Amin: Air Traffic ManagementDr. Deborah Tucek: LinguisticsDr. Murray Mount: Neuro-scienceDr. Sameer Alam: Air Traffic ManagementDr. Vinh Quang Bui: Computational StorytellingMr. Fan Qi: Computational ModellingDr. Kamran Shafi: Defence LogisticsMs. Irina Coleman: PsychologyProf. Jing Lui: Networks and ComplexityDr. Weicai Zhong: Game TheoryMr. Ahmed Darwish: Computational ModellingDr. Antony Iorio: Risk Attitude of Strategic Decision MakersDr. James Whiteacre: Complex Systems and Defence LogisticsDr. Lam Bui: Evolutionary Risk ManagementDr. Minh Ha Nguyen: Complex Systems for Air Traffic ManagementDr. Ang Yang: Defence and Security Risk AssessmentMr. Paul McCarthy: Computational ModellingDr. Yubin Yang: Network MiningDr. Yin Shan: Defence Logistics
Teaching
Teaching
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Introduction to Programming
2027 | S1 | Contact hours 26/13/26 | On-campus | Convening + Lecture + Lab + Tutorial
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Simulation
2025 | S2 | Contact hours 26/4/13 | On-campus | Convening + Lecture + Lab + Tutorial
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Computing and Cyber Security Honours Thesis 1
2025 | S2 | Contact hours 13/0/0 | On-campus | Convening + Lecture
Introduction to ProgrammingSimulationComputing and Cyber Security Honours Thesis 1Computing and Cyber Security Honours Special Topics 4Computing and Cyber Security Honours Special Topics 3Computing and Cyber Security Research 2BComputing and Cyber Security Research 3BComputing and Cyber Security Honours Thesis 2Computing and Cyber Security Honours Special Topics 2Computing and Cyber Security Honours Special Topics 1Computing and Cyber Security Research 3AJoint Military Training Program - Data Technologies ModuleSimulationComputing and Cyber Security Honours Thesis 1Computing and Cyber Security Honours Special Topics 4Computing and Cyber Security Honours Special Topics 3Computing and Cyber Security Research 2BComputing and Cyber Security Research 3BComputing and Cyber Security Honours Thesis 2Computing and Cyber Security Honours Special Topics 2Computing and Cyber Security Honours Special Topics 1Computing and Cyber Security Research 3AJoint Military Training Program – Data Technologies ModuleSimulationComputing and Cyber Security Honours Thesis 1Computing and Cyber Security Honours Special Topics 4Computing and Cyber Security Honours Special Topics 3Computing and Cyber Security Research 2BComputing and Cyber Security Research 3BComputing and Cyber Security Honours Thesis 2Computing and Cyber Security Honours Special Topics 2Computing and Cyber Security Honours Special Topics 1Computing and Cyber Security Research 3AJoint Military Training Program - RAS-AI ModuleSimulationComputing and Cyber Security Honours Thesis 1Computing and Cyber Security Honours Special Topics 4Computing and Cyber Security Honours Special Topics 3Joint Military Training Program - RAS-AI ModuleSimulationJoint Military Training Program - RAS-AI ModuleSimulationSimulationDisruptive Technologies (JMET)SimulationDisruptive Technologies (JMET)SimulationComputational Problem SolvingCapability Options Analysis UGSimulationComputational Problem SolvingSimulationComputational Problem SolvingCapability Options Analysis UGQuantitative Operations Research UGQuantitative Operations Research PGStrategic Decision Making UGStrategic Decision Making PGCapability Options Analysis IntensiveCapability Options Analysis IntensiveCapability Options Analysis IntensiveCapability Options Analysis UGCapability Options Analysis PGStrategic Decision Making UGStrategic Decision Making PGCapability Options Analysis UGCapability Options Analysis PGCapability Options Analysis PGCapability Options Analysis UGCapability Options Analysis PGStrategic Decision Making UGStrategic Decision Making PGDecision AnalysisManagement Science for EngineeringDecision AnalysisManagement Science for EngineeringKnowledge Based SystemsSoft ComputingManagement Science for EngineeringManagement Science for EngineeringModern Heuristic TechniquesDecision AnalysisKnowledge Discovery in DatabasesManagement Science for EngineeringData MiningOptimization TechniquesModern Heuristic TechniquesKnowledge Discovery in DatabasesOptimization TechniquesModern Heuristic TechniquesOptimisation TechniquesData MiningProgramming Fundamentals (JAVA)Modern Heuristic Technique2Management Science for EngineeringManagement ScienceInformation Systems PrinciplesModern Heuristic Technique2Teaching at Cairo UniversityIntroduction to ProgrammingSimulationComputing and Cyber Security Honours Thesis 1Computing and Cyber Security Honours Special Topics 4Computing and Cyber Security Honours Special Topics 3Computing and Cyber Security Research 2BComputing and Cyber Security Research 3BComputing and Cyber Security Honours Thesis 2Computing and Cyber Security Honours Special Topics 2Computing and Cyber Security Honours Special Topics 1Computing and Cyber Security Research 3AJoint Military Training Program - Data Technologies ModuleSimulationComputing and Cyber Security Honours Thesis 1Computing and Cyber Security Honours Special Topics 4Computing and Cyber Security Honours Special Topics 3Computing and Cyber Security Research 2BComputing and Cyber Security Research 3BComputing and Cyber Security Honours Thesis 2Computing and Cyber Security Honours Special Topics 2Computing and Cyber Security Honours Special Topics 1Computing and Cyber Security Research 3AJoint Military Training Program – Data Technologies ModuleSimulationComputing and Cyber Security Honours Thesis 1Computing and Cyber Security Honours Special Topics 4Computing and Cyber Security Honours Special Topics 3Computing and Cyber Security Research 2BComputing and Cyber Security Research 3BComputing and Cyber Security Honours Thesis 2Computing and Cyber Security Honours Special Topics 2Computing and Cyber Security Honours Special Topics 1Computing and Cyber Security Research 3AJoint Military Training Program - RAS-AI ModuleSimulationComputing and Cyber Security Honours Thesis 1Computing and Cyber Security Honours Special Topics 4Computing and Cyber Security Honours Special Topics 3Joint Military Training Program - RAS-AI ModuleSimulationJoint Military Training Program - RAS-AI ModuleSimulationSimulationDisruptive Technologies (JMET)SimulationDisruptive Technologies (JMET)SimulationComputational Problem SolvingCapability Options Analysis UGSimulationComputational Problem SolvingSimulationComputational Problem SolvingCapability Options Analysis UGQuantitative Operations Research UGQuantitative Operations Research PGStrategic Decision Making UGStrategic Decision Making PGCapability Options Analysis IntensiveCapability Options Analysis IntensiveCapability Options Analysis IntensiveCapability Options Analysis UGCapability Options Analysis PGStrategic Decision Making UGStrategic Decision Making PGCapability Options Analysis UGCapability Options Analysis PGCapability Options Analysis PGCapability Options Analysis UGCapability Options Analysis PGStrategic Decision Making UGStrategic Decision Making PGDecision AnalysisManagement Science for EngineeringDecision AnalysisManagement Science for EngineeringKnowledge Based SystemsSoft ComputingManagement Science for EngineeringManagement Science for EngineeringModern Heuristic TechniquesDecision AnalysisKnowledge Discovery in DatabasesManagement Science for EngineeringData MiningOptimization TechniquesModern Heuristic TechniquesKnowledge Discovery in DatabasesOptimization TechniquesModern Heuristic TechniquesOptimisation TechniquesData MiningProgramming Fundamentals (JAVA)Modern Heuristic Technique2Management Science for EngineeringManagement ScienceInformation Systems PrinciplesModern Heuristic Technique2Teaching at Cairo University
University, Australian, and International Service
Services
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Chair of the IEEE Frank Rosenblatt Award Committee, IEEE, 2025-2026
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Editorial Board, Proceedings of the IEEE, IEEE. 2025-Now
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Senior Associate Editor, ACM Computing Surveys, ACM, 2022-Now
Elected Member – UNSW Academic Board, 1/2017 to 12/2018Member – UNSW-Canberra Board, 1/2017 to 12/2018Human Research Ethics Advisory Panel - HREA Panel A: UNSW Canberra, 4/2015 to 4/2018Elected Member - UNSW-Canberra Board, 1/2015 to 12/2016Director of the Defence and Security Applications Research Centre, 3/2006 to 12/2010UNSW-Canberra Professorial Promotion Committee, 2008UNSW-Canberra Senior Lecturer Promotion Committee, 2005School research committee, 2004 - 2010School IT user group, 2004 - 2010UNSW-Canberra research committee, 2003 - 2010School PG committee, 2003 - 2010HOS advisory committee, 2003School PG research coordinator, 2003School seminar coordinator, 2000 - 2004Sub-Committee Chair for Conference Liaison, Australian Computer Society national committee on Artificial Intelligence, 2004-2026Member, National Committee on Ethics for Artificial Intelligence, Australian Computer Society, 2019-2020National President, Australian Society for Operations Research, 2016-2019President, Australian Society for Operations Research – Canberra Chapter, 2015-2016Member, Advisory Panel, Trusted Autonomy, Defence Science and Technology Group (DSTG), 2015Chair, Discovery and DECRA Panel, Australian Research Council, Mathematics and Information Communication, 2015Deputy-Chair, Discovery and DECRA Panel, Australian Research Council, Mathematics and Information Communication, 2014Member, College of Experts, Australian Research Council, Mathematics and Information Communication, 2013-2015Academic Board Member, Australian Graduate School of Leadership, Sydney, Australia, 2012-2015Member, Australian Research Council, Mathematics and Information Communication, Excellence Research Australia Committee, 2010Member, National Collaborative Research Infrastructure Strategy (NCRIS), expert sub-committee on Safeguarding Australia, 2008Member, CORE Journal and Conference Ranking Committee, 2007-9Chair of the IEEE Frank Rosenblatt Award Committee, IEEE, 2025-2026Vice-President Technical Activities, IEEE Computational Intelligence Society, 2016-2019Member IEEE CIS, Best Paper in TEVC Sub-Committee, 2017, 2019Founding Chair, IEEE CIS Chapter in ACT, 2015Member IEEE CIS, Awards Committee, 2014-2017Member IEEE CIS, Distinguished Lecturer Committee, 2014-2015Member IEEE CIS, Nomination Committee, 2014Member IEEE CIS, Best Paper in CIM Sub-Committee, 2014Member IEEE CIS, Pioneer Award Sub-Committee, 2012-2013General Chair IEEE World Congress on Computational Intelligence, 2012Member IEEE CIS, Outstanding Organization Award Sub-Committee, 2010-2011Chair IEEE CIS Emerging Technologies Technical Committee, 2013-2014Founding Chair, IEEE-NN-EC Task Force on Artificial Life and Complex Adaptive Systems, 2003Founding Editor-in-Chief, IEEE Transactions on Artificial Intelligence, IEEE, 2020-2024Editorial Board, Proceedings of the IEEE, IEEE. 2025-NowSenior Associate Editor, ACM Computing Surveys, ACM, 2022-NowAssociate Editor, IEEE Transactions on Cybernetics, IEEE, 2016-NowAssociate Editor, IEEE Transactions on Computational Social Systems, IEEE, 2017- NowAssociate Editor, Complex and Intelligent Systems, Springer, 2015-NowAssociate Editor, IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2020-2022Associate Editor, IEEE Transactions on Evolutionary Computation, IEEE, 2010-2022Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE, 2021-2021Associate Editor, ACM Computing Surveys, ACM, 2020-2021Associate Editor, IEEE Transactions on Cognitive and Developmental Systems, IEEE, 2016-2021Associate Editor, International Journal of Intelligent Computing and Cybernetics, Emerald, 2007-2020Associate Editor, Cognitive Computation, Springer, 2015-2020Associate Editor, IEEE Computational Intelligence Magazine, IEEE, 2010-2016Associate Editor, Natural Computing, Springer, 2015-2016Associate Editor, International Journal of Artificial Life Research, 2010-2015Editor, Applied Soft Computing, Elsevier, 2013-2014Associate Editor, Journal of Industrial and Management Optimization, American Institute of Mathematical Sciences, 2011-2014Editorial Board, International Journal of Applied Systemic Studies (IJASS), Inderscience, 2006-2010Keynote speaker and guest of honour, 11th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2024), 2024, Smart Flying SheepdogsOpening keynote: The 20th International Conference on Advanced Data Mining & Applications, ADMA 2024, Opening keynote: Analytics in Decentralised AI Enabled Autonomy, 2024Keynote Speaker, IEEE R10 Symposium, TENSYMP 2023, Title: Open Challenges in Artificial IntelligenceInvited presentation, Defence AI Symposium, UQ, 2023. Title: Contextual Awareness.Distinguished Lecture, IEEE Day, IEEE CIS Distinguished Lecturer webinar. Title: From Machine Learning to Machine EducationKeynote Speaker, European Conference on Modelling and Simulation (ECMS 2022), Title: On the Role of Modelling and Simulation for AIInvited Speaker: 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI 2020), 19-20 December 2020, Bangladesh. Title: Tenants of Trust and Transparency in Human-Swarm Teaming: Interpretability, Explainability, and Predictability.Invited Speaker: Conference on Artificial Intelligence and Data Analytics for Air Transportation, February 3 to February 4, 2020, Singapore. Title: Apprenticeship Bootstrapping: Intelligent Shepherds for Swarm Traffic Management Systems.Invited Speaker: 24th International Society of Air-breathing Engines, September 22 to September 27, 2019, Canberra, Australia. Title: Artificial Intelligence: How our UNSW-Canberra research is transforming the Air to breathe smartness.Invited Speaker: The rise of complex autonomous systems: current challenges for national security policymakers, Institute For Regional Security - Future Strategic Leaders Congress 18-20 May 2018.Invited Speaker: D61+DSTG Cyber Summer School, 12-13 February 2018, Title: Towards Milliseconds Autonomous Learning in Trusted Human-Swarm Cognitive-Cyber-Physical Missions.Invited Speaker: 1st International Workshop on Human Intelligent machine co-existence (HELIOS) , 9-10 January 2018, Singapore. Title: Trusted Autonomy in Closed Loop Human Machine Systems.Invited Speaker: Australasian Conference on Artificial Life and Computational Intelligence, January 31 to February 2, 2017, Geelong, Melbourne. Title: Trusted Autonomy: Challenges and Opportunities for Computational Intelligence.Invited Speaker: Innovation Month, July 21, 2015, Canberra. Title: Welcome Mr and Mrs RoboGov.Invited Speaker: Emerging Disruptive Technologies Assessment Symposium (EDTAS), July 15-17, 2015, Canberra. Title: Trust in Humans and Machines.Invited Speaker: Research Forum Semi-autonomous systems: trust, control, and letting go, November 10-11, 2015, Defence Science Institute. Title: The Beauty and the Beast of Trusted Autonomy.Invited Speaker: Emerging Disruptive Technologies Assessment Symposium: Trusted Autonomy, July 15-17, 2015, Defence Science and Technology Group. Title: On Trust in Humans and Machines .Invited Speaker: Australasian Conference on Artificial Life and Computational Intelligence, February 5-7, 2015, Newcastle. Title: Cognitive-Cyber Symbiosis.Invited Speaker: The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, November, 10-12, 2014, Singapore. Title: Real-time Computational Red Traming of Human Cognition using Encephalographic (EEG) Data.Invited Speaker: The Fourth International Neural Network Society Symposia Series , November, 7-9, 2014, Brunei. Title: Next Generation Intelligent Systems: Observe-Project-Counteract Agent Architecture for Real-time Computational Red Teaming.Invited Lecture: Evolutionary Multi-objective Optimisation for Scenario Design and Real-time Optimisation, National University of Singapore, April 2014.Invited Seminar: Institute for Infocomm Research (I²R), Agency for Science, Technology and Research (A*STAR), March 25, 2014, Singapore. Title: Computational Red Teaming for Integrating the Air Traffic Controller Brain and the Automation Cycle.Invited Seminar: Rolls-Royce, March 14, 2014, Singapore. Title: Computational Red Teaming for Future Automation Systems.Invited Speaker: The 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, IEEE SSCI 2013, April, 16-19, 2013, Singapore. Title: Human Experiments in Computational Intelligence.Invited Speaker: The 47th Annual Conference on Statistics, Computer Sciences, and Operations Research, December, 24-27, 2012, Cairo University, Egypt. Title: Role of Optimisation and Simulation in Intelligent Systems.Invited Speaker: The 9th International Conference on Simulated Evolution and Learning, SEAL 2012, December 2012, Ha Noi, Viet Nam. Title: Computational Red Teaming: Can Evolution and Learning Augment Human Behaviour?Invited Speaker: The 1st International Conference on Robot Intelligence Technology and Applications, RiTA 2012, December 2012, Gwangju, Seoul, South Korea. Title: Computational Red Teaming for Air Traffic Management.Invited Speaker: International Workshop on Nature Inspired Computation and Applications, IWNICA'12, October 2012, Hefei, China.Talk 1: "Neural learning using multi-objective estimation methods".Talk 2: "Automatic decomposition and the role of architecture in mining Big Data".Invited Speaker: Networked Enabled Operations, NEO2012, June 2012, Canberra, Australia. Title: Dancing with uncertainty in networked capabilities: How to manouevre in human, cyber and physical terrains.Invited Speaker: Australian Data Mining Conference, ADM 2011, December 2011, Victoria, Australia. Title: Mining Big Data Streams: The Fallacy of Blind Correlation and the Importance of Models.Invited Speaker: Network Centric Operations, NCO Asia 2011, September 2011, Singapore. Title: Network Based Planning and Computational Red Teaming.Invited Speaker: Doctoral Intensive Summer School on meta-heuristics in optimization and intelligent data analysis, 21-26 June, 2011, Alexandru Ioan Cuza, Romania.Invited Speaker: Network Centric Operations Asia, NCO 2010, 19-20 October 2010, Singapore. Title: Network Based Planning and Computational Red Teaming.Invited Speaker: The IEEE World Congress on Computational Intelligence, WCCI 2010, 18-23 July 2010, Barcelona, Spain. Title: Evolutionary Computation for Risk Assessment and Management.Invited speaker: the International Civil Aviation Organization (ICAO) Reduced Vertical Separation Minimum Safety Seminar, Bahrain, Feb 2010Invited Speaker: Network Centric Warfare, NCW 2010, 28-30 April 2010, Canberra. Title: Outlining The Risk Assessment Of Networked Environments.Plenary: Platform Technologies Research Institute Annual Symposium, PTRI 09, 14-15 July, 2009. Title: Computational Red Teaming and Cyber Challenges.Plenary: The 14th International Symposium on Artificial Life and Robotics, AROB 2009, 5-7 February 2009, Beppu, Oita, Japan. Title: The Role of Non-Dominance in Artificial Life and Robotics.Plenary: The 7th International Conference on Simulated Evolution and Learning, SEAL 2008, 7-10 December 2008, Melbourne, Australia. Title: The Future of Intelligent Systems is Non-Dominance.Keynote 3rd International Nonlinear Science Conference, Chuo University, Tokyo, Japan, 13-15 March, 2007. Title: Characterising and Understanding dynamics in reactive heterogeneous multi-agent systems.Keynote International Seminar Series, Intelligent Robot Research Centre, Advanced Institute of Science and Technology (KAIST), Korea, November 2006. Title: Recent Advances on Artificial Life and Adaptive Robotics.Invited Seminar, Centre for Research in Complex Systems, 26/10/2006, Charles Sturt University. Title: Evolutionary methods in artificial intelligence and data mining.Keynote speech at the 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 6-7 Dec 2004, Cairns, Australia. Title: The lone thinker of Celigny in learning and agent systems.Invited Seminar, Department of Computer Science, Computational Management Group, 2004, Imperial College London. Title: A Pareto Offer to Real and Artificial Life.Invited Talk, Department of Veterans' Affairs, Australia, 21/10/2003. Title: Data Mining.Invited Talk, DPI, Australia, 20/09/1998., a talk given to The Dept. of Primary Industries, Workshop for extensions, Sunshine Coast. Title: Introducing Neural Networks for Dairy Industry.Invited Seminar, informal talk to the Dept. of Computer Science, Amsterdam University, The Netherlands, 30/06/1997. Title: Decision Making Logic Programming.Invited Seminar, Advanced Modular Topic Lecture Series: Planning and Scheduling, Dept. of AI, Edinburgh University, United Kingdom, 02/07/1997. Title: Time, Resource, and Cost, The triangle of scheduling in OR.Invited Seminar, Advanced Modular Topic Lecture Series: Planning and Scheduling, Dept. of AI, Edinburgh University, United Kingdom, 25/06/1997. Title: OR Vs AI, Competition or Integration.International Program Committee member, AROB 2027, 2027Advisory Board member, IEEE Conference on Artificial Intelligence,IEEE CAI 2026, 2026Advisory Board member, IEEE Conference on Artificial Intelligence,IEEE CAI 2025, 2025General Co-Chair, IEEE Conference on Artificial Intelligence,IEEE CAI 2024, 2024Technical Program Co-Chair, IEEE Conference on Artificial Intelligence,IEEE CAI 2023, 2023Steering Committee Chair 2021-2023, IEEE Conference on Artificial Intelligence, 2023Awards Co-Chair, IJCNN 2023, 2023Program Committee member, IJCNN 2023, 2023Tutorial Chair, ICONIP 2022, 2022Senior Program Committee member, AAAI-21, 2021Invited-talk and paper-session chair, Australasian AI 2021, 2021General co-chair, The IEEE Congress on Evolutionary Computation, Poland, 2021., 2021.Program Committee member, AIDA-AT 2020, 2020General Chair, The IEEE Symposium Series on Computational Intelligence, Canberra, December, 2020., 2020.Program Committee member, AAAI-19, 2019Advisory Board member, Australasian AI 2018, 2018Program Committee member, ICONIP 2018, 2018Advisory Chair, IEEE SmartWorld 2018, 2018Program Committee member, CIHLI 2017, 2017International Program Committee member, IEEE CEC 2017 special session, 2017Publications Chair, IEEE WCCI 2016, 2016Program Committee member, IJCAI-16, 2016Program Committee member, GECCO 2015, 2015Special-session co-organizer, IEEE CEC 2015 special session, 2015Technical Program Committee member, IEEE SSCI 2015, 2015Program Committee member, GECCO 2014, 2014Program Committee member, IEEE CEC 2014, 2014Program Committee member, IEEE CIDM 2014, 2014International Advisory Board member, SEAL 2014, 2014Program Committee member, SEAL 2014, 2014Program Committee member, EvoPAR at EvoApplications 2013, 2013Program Committee member, GECCO 2012, 2012General Chair, The IEEE World Congress on Computational Intelligence, WCCI, Brisbane, June, 2012., 2012.Program Committee member, GECCO 2011, 2011General co-chair, The Australisian Conference on Artificial Intelligence, Perth, 2011., General co-chair, The Australisian Conference on Artificial Intelligence, Perth, 2011., 2011.Program Committee member, IEEE ALIFE 2011, 2011Program Committee member, IEEE CISched 2009, 2009Program Committee member, Australasian Data Mining Conference (AusDM 2008), 2008Technical Co-Chair and Program Committee member, International Conference on Simulated Evolution and Learning (SEAL 2008), 2008Technical co-chair, The IEEE Congress on Evolutionary Computation, CEC'07, Singapore, September 2007., 2007.Program co-chair, The IEEE International Conference on Artificial Life, Honolulu, Apr 2007., 2007.Program Committee member, Genetic and Evolutionary Computation Conference (GECCO 2006), 2006Technical co-chair, The 6th International Conference on Simulated Evolution and Learning (SEAL'06), Heifa , China, October, 2006., 2006.Conference co -chair, The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Complexity and Nonlinear Dynamics, Adelaide, 2006., 2006.Conference co-chair, The Second Australian Conference on Artificial Life (ACAL 05), Sydney, Australia, 2005., 2005.General co-chair, "The Australian Conference on Artificial Life (ACAL)", Canberra, Australia, 2003., 2003.Program Committee member, Genetic and Evolutionary Computation Conference (GECCO 2003), 2003Vic general chair and proceedings co -chair, IEEE Congress on Evolutionary Computation, Canberra, Australia, 2003., 2003Special session co-chair on swarm intelligence, "4th Asia-Pacific Conference on Simulated Evolution and Learning", Singapore, 2002., 2002.Invited stream chair for data mining, "IFORS2002: The Sixteenth Triennial Conference of the International Federation of Operational Research Societies", Edinburgh, UK, 2002., 2002.Organising chair and program committee member, "The Australian National Joint Conference on Artificial Intelligence (AI'02)", Canberra, Australia, 2002., 2002.Program chair, "The ADFA Computer Science Post-graduate Conference", 2001., 2001.Elected Member – UNSW Academic Board, 1/2017 to 12/2018Member – UNSW-Canberra Board, 1/2017 to 12/2018Human Research Ethics Advisory Panel - HREA Panel A: UNSW Canberra, 4/2015 to 4/2018Elected Member - UNSW-Canberra Board, 1/2015 to 12/2016Director of the Defence and Security Applications Research Centre, 3/2006 to 12/2010UNSW-Canberra Professorial Promotion Committee, 2008UNSW-Canberra Senior Lecturer Promotion Committee, 2005School research committee, 2004 - 2010School IT user group, 2004 - 2010UNSW-Canberra research committee, 2003 - 2010School PG committee, 2003 - 2010HOS advisory committee, 2003School PG research coordinator, 2003School seminar coordinator, 2000 - 2004Sub-Committee Chair for Conference Liaison, Australian Computer Society national committee on Artificial Intelligence, 2004-2026Member, National Committee on Ethics for Artificial Intelligence, Australian Computer Society, 2019-2020National President, Australian Society for Operations Research, 2016-2019President, Australian Society for Operations Research – Canberra Chapter, 2015-2016Member, Advisory Panel, Trusted Autonomy, Defence Science and Technology Group (DSTG), 2015Chair, Discovery and DECRA Panel, Australian Research Council, Mathematics and Information Communication, 2015Deputy-Chair, Discovery and DECRA Panel, Australian Research Council, Mathematics and Information Communication, 2014Member, College of Experts, Australian Research Council, Mathematics and Information Communication, 2013-2015Academic Board Member, Australian Graduate School of Leadership, Sydney, Australia, 2012-2015Member, Australian Research Council, Mathematics and Information Communication, Excellence Research Australia Committee, 2010Member, National Collaborative Research Infrastructure Strategy (NCRIS), expert sub-committee on Safeguarding Australia, 2008Member, CORE Journal and Conference Ranking Committee, 2007-9Chair of the IEEE Frank Rosenblatt Award Committee, IEEE, 2025-2026Vice-President Technical Activities, IEEE Computational Intelligence Society, 2016-2019Member IEEE CIS, Best Paper in TEVC Sub-Committee, 2017, 2019Founding Chair, IEEE CIS Chapter in ACT, 2015Member IEEE CIS, Awards Committee, 2014-2017Member IEEE CIS, Distinguished Lecturer Committee, 2014-2015Member IEEE CIS, Nomination Committee, 2014Member IEEE CIS, Best Paper in CIM Sub-Committee, 2014Member IEEE CIS, Pioneer Award Sub-Committee, 2012-2013General Chair IEEE World Congress on Computational Intelligence, 2012Member IEEE CIS, Outstanding Organization Award Sub-Committee, 2010-2011Chair IEEE CIS Emerging Technologies Technical Committee, 2013-2014Founding Chair, IEEE-NN-EC Task Force on Artificial Life and Complex Adaptive Systems, 2003Founding Editor-in-Chief, IEEE Transactions on Artificial Intelligence, IEEE, 2020-2024Editorial Board, Proceedings of the IEEE, IEEE. 2025-NowSenior Associate Editor, ACM Computing Surveys, ACM, 2022-NowAssociate Editor, IEEE Transactions on Cybernetics, IEEE, 2016-NowAssociate Editor, IEEE Transactions on Computational Social Systems, IEEE, 2017- NowAssociate Editor, Complex and Intelligent Systems, Springer, 2015-NowAssociate Editor, IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2020-2022Associate Editor, IEEE Transactions on Evolutionary Computation, IEEE, 2010-2022Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE, 2021-2021Associate Editor, ACM Computing Surveys, ACM, 2020-2021Associate Editor, IEEE Transactions on Cognitive and Developmental Systems, IEEE, 2016-2021Associate Editor, International Journal of Intelligent Computing and Cybernetics, Emerald, 2007-2020Associate Editor, Cognitive Computation, Springer, 2015-2020Associate Editor, IEEE Computational Intelligence Magazine, IEEE, 2010-2016Associate Editor, Natural Computing, Springer, 2015-2016Associate Editor, International Journal of Artificial Life Research, 2010-2015Editor, Applied Soft Computing, Elsevier, 2013-2014Associate Editor, Journal of Industrial and Management Optimization, American Institute of Mathematical Sciences, 2011-2014Editorial Board, International Journal of Applied Systemic Studies (IJASS), Inderscience, 2006-2010Keynote speaker and guest of honour, 11th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2024), 2024, Smart Flying SheepdogsOpening keynote: The 20th International Conference on Advanced Data Mining & Applications, ADMA 2024, Opening keynote: Analytics in Decentralised AI Enabled Autonomy, 2024Keynote Speaker, IEEE R10 Symposium, TENSYMP 2023, Title: Open Challenges in Artificial IntelligenceInvited presentation, Defence AI Symposium, UQ, 2023. Title: Contextual Awareness.Distinguished Lecture, IEEE Day, IEEE CIS Distinguished Lecturer webinar. Title: From Machine Learning to Machine EducationKeynote Speaker, European Conference on Modelling and Simulation (ECMS 2022), Title: On the Role of Modelling and Simulation for AIInvited Speaker: 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI 2020), 19-20 December 2020, Bangladesh. Title: Tenants of Trust and Transparency in Human-Swarm Teaming: Interpretability, Explainability, and Predictability.Invited Speaker: Conference on Artificial Intelligence and Data Analytics for Air Transportation, February 3 to February 4, 2020, Singapore. Title: Apprenticeship Bootstrapping: Intelligent Shepherds for Swarm Traffic Management Systems.Invited Speaker: 24th International Society of Air-breathing Engines, September 22 to September 27, 2019, Canberra, Australia. Title: Artificial Intelligence: How our UNSW-Canberra research is transforming the Air to breathe smartness.Invited Speaker: The rise of complex autonomous systems: current challenges for national security policymakers, Institute For Regional Security - Future Strategic Leaders Congress 18-20 May 2018.Invited Speaker: D61+DSTG Cyber Summer School, 12-13 February 2018, Title: Towards Milliseconds Autonomous Learning in Trusted Human-Swarm Cognitive-Cyber-Physical Missions.Invited Speaker: 1st International Workshop on Human Intelligent machine co-existence (HELIOS) , 9-10 January 2018, Singapore. Title: Trusted Autonomy in Closed Loop Human Machine Systems.Invited Speaker: Australasian Conference on Artificial Life and Computational Intelligence, January 31 to February 2, 2017, Geelong, Melbourne. Title: Trusted Autonomy: Challenges and Opportunities for Computational Intelligence.Invited Speaker: Innovation Month, July 21, 2015, Canberra. Title: Welcome Mr and Mrs RoboGov.Invited Speaker: Emerging Disruptive Technologies Assessment Symposium (EDTAS), July 15-17, 2015, Canberra. Title: Trust in Humans and Machines.Invited Speaker: Research Forum Semi-autonomous systems: trust, control, and letting go, November 10-11, 2015, Defence Science Institute. Title: The Beauty and the Beast of Trusted Autonomy.Invited Speaker: Emerging Disruptive Technologies Assessment Symposium: Trusted Autonomy, July 15-17, 2015, Defence Science and Technology Group. Title: On Trust in Humans and Machines .Invited Speaker: Australasian Conference on Artificial Life and Computational Intelligence, February 5-7, 2015, Newcastle. Title: Cognitive-Cyber Symbiosis.Invited Speaker: The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, November, 10-12, 2014, Singapore. Title: Real-time Computational Red Traming of Human Cognition using Encephalographic (EEG) Data.Invited Speaker: The Fourth International Neural Network Society Symposia Series , November, 7-9, 2014, Brunei. Title: Next Generation Intelligent Systems: Observe-Project-Counteract Agent Architecture for Real-time Computational Red Teaming.Invited Lecture: Evolutionary Multi-objective Optimisation for Scenario Design and Real-time Optimisation, National University of Singapore, April 2014.Invited Seminar: Institute for Infocomm Research (I²R), Agency for Science, Technology and Research (A*STAR), March 25, 2014, Singapore. Title: Computational Red Teaming for Integrating the Air Traffic Controller Brain and the Automation Cycle.Invited Seminar: Rolls-Royce, March 14, 2014, Singapore. Title: Computational Red Teaming for Future Automation Systems.Invited Speaker: The 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, IEEE SSCI 2013, April, 16-19, 2013, Singapore. Title: Human Experiments in Computational Intelligence.Invited Speaker: The 47th Annual Conference on Statistics, Computer Sciences, and Operations Research, December, 24-27, 2012, Cairo University, Egypt. Title: Role of Optimisation and Simulation in Intelligent Systems.Invited Speaker: The 9th International Conference on Simulated Evolution and Learning, SEAL 2012, December 2012, Ha Noi, Viet Nam. Title: Computational Red Teaming: Can Evolution and Learning Augment Human Behaviour?Invited Speaker: The 1st International Conference on Robot Intelligence Technology and Applications, RiTA 2012, December 2012, Gwangju, Seoul, South Korea. Title: Computational Red Teaming for Air Traffic Management.Invited Speaker: International Workshop on Nature Inspired Computation and Applications, IWNICA'12, October 2012, Hefei, China.Talk 1: "Neural learning using multi-objective estimation methods".Talk 2: "Automatic decomposition and the role of architecture in mining Big Data".Invited Speaker: Networked Enabled Operations, NEO2012, June 2012, Canberra, Australia. Title: Dancing with uncertainty in networked capabilities: How to manouevre in human, cyber and physical terrains.Invited Speaker: Australian Data Mining Conference, ADM 2011, December 2011, Victoria, Australia. Title: Mining Big Data Streams: The Fallacy of Blind Correlation and the Importance of Models.Invited Speaker: Network Centric Operations, NCO Asia 2011, September 2011, Singapore. Title: Network Based Planning and Computational Red Teaming.Invited Speaker: Doctoral Intensive Summer School on meta-heuristics in optimization and intelligent data analysis, 21-26 June, 2011, Alexandru Ioan Cuza, Romania.Invited Speaker: Network Centric Operations Asia, NCO 2010, 19-20 October 2010, Singapore. Title: Network Based Planning and Computational Red Teaming.Invited Speaker: The IEEE World Congress on Computational Intelligence, WCCI 2010, 18-23 July 2010, Barcelona, Spain. Title: Evolutionary Computation for Risk Assessment and Management.Invited speaker: the International Civil Aviation Organization (ICAO) Reduced Vertical Separation Minimum Safety Seminar, Bahrain, Feb 2010Invited Speaker: Network Centric Warfare, NCW 2010, 28-30 April 2010, Canberra. Title: Outlining The Risk Assessment Of Networked Environments.Plenary: Platform Technologies Research Institute Annual Symposium, PTRI 09, 14-15 July, 2009. Title: Computational Red Teaming and Cyber Challenges.Plenary: The 14th International Symposium on Artificial Life and Robotics, AROB 2009, 5-7 February 2009, Beppu, Oita, Japan. Title: The Role of Non-Dominance in Artificial Life and Robotics.Plenary: The 7th International Conference on Simulated Evolution and Learning, SEAL 2008, 7-10 December 2008, Melbourne, Australia. Title: The Future of Intelligent Systems is Non-Dominance.Keynote 3rd International Nonlinear Science Conference, Chuo University, Tokyo, Japan, 13-15 March, 2007. Title: Characterising and Understanding dynamics in reactive heterogeneous multi-agent systems.Keynote International Seminar Series, Intelligent Robot Research Centre, Advanced Institute of Science and Technology (KAIST), Korea, November 2006. Title: Recent Advances on Artificial Life and Adaptive Robotics.Invited Seminar, Centre for Research in Complex Systems, 26/10/2006, Charles Sturt University. Title: Evolutionary methods in artificial intelligence and data mining.Keynote speech at the 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 6-7 Dec 2004, Cairns, Australia. Title: The lone thinker of Celigny in learning and agent systems.Invited Seminar, Department of Computer Science, Computational Management Group, 2004, Imperial College London. Title: A Pareto Offer to Real and Artificial Life.Invited Talk, Department of Veterans' Affairs, Australia, 21/10/2003. Title: Data Mining.Invited Talk, DPI, Australia, 20/09/1998., a talk given to The Dept. of Primary Industries, Workshop for extensions, Sunshine Coast. Title: Introducing Neural Networks for Dairy Industry.Invited Seminar, informal talk to the Dept. of Computer Science, Amsterdam University, The Netherlands, 30/06/1997. Title: Decision Making Logic Programming.Invited Seminar, Advanced Modular Topic Lecture Series: Planning and Scheduling, Dept. of AI, Edinburgh University, United Kingdom, 02/07/1997. Title: Time, Resource, and Cost, The triangle of scheduling in OR.Invited Seminar, Advanced Modular Topic Lecture Series: Planning and Scheduling, Dept. of AI, Edinburgh University, United Kingdom, 25/06/1997. Title: OR Vs AI, Competition or Integration.International Program Committee member, AROB 2027, 2027Advisory Board member, IEEE Conference on Artificial Intelligence,IEEE CAI 2026, 2026Advisory Board member, IEEE Conference on Artificial Intelligence,IEEE CAI 2025, 2025General Co-Chair, IEEE Conference on Artificial Intelligence,IEEE CAI 2024, 2024Technical Program Co-Chair, IEEE Conference on Artificial Intelligence,IEEE CAI 2023, 2023Steering Committee Chair 2021-2023, IEEE Conference on Artificial Intelligence, 2023Awards Co-Chair, IJCNN 2023, 2023Program Committee member, IJCNN 2023, 2023Tutorial Chair, ICONIP 2022, 2022Senior Program Committee member, AAAI-21, 2021Invited-talk and paper-session chair, Australasian AI 2021, 2021General co-chair, The IEEE Congress on Evolutionary Computation, Poland, 2021., 2021.Program Committee member, AIDA-AT 2020, 2020General Chair, The IEEE Symposium Series on Computational Intelligence, Canberra, December, 2020., 2020.Program Committee member, AAAI-19, 2019Advisory Board member, Australasian AI 2018, 2018Program Committee member, ICONIP 2018, 2018Advisory Chair, IEEE SmartWorld 2018, 2018Program Committee member, CIHLI 2017, 2017International Program Committee member, IEEE CEC 2017 special session, 2017Publications Chair, IEEE WCCI 2016, 2016Program Committee member, IJCAI-16, 2016Program Committee member, GECCO 2015, 2015Special-session co-organizer, IEEE CEC 2015 special session, 2015Technical Program Committee member, IEEE SSCI 2015, 2015Program Committee member, GECCO 2014, 2014Program Committee member, IEEE CEC 2014, 2014Program Committee member, IEEE CIDM 2014, 2014International Advisory Board member, SEAL 2014, 2014Program Committee member, SEAL 2014, 2014Program Committee member, EvoPAR at EvoApplications 2013, 2013Program Committee member, GECCO 2012, 2012General Chair, The IEEE World Congress on Computational Intelligence, WCCI, Brisbane, June, 2012., 2012.Program Committee member, GECCO 2011, 2011General co-chair, The Australisian Conference on Artificial Intelligence, Perth, 2011., General co-chair, The Australisian Conference on Artificial Intelligence, Perth, 2011., 2011.Program Committee member, IEEE ALIFE 2011, 2011Program Committee member, IEEE CISched 2009, 2009Program Committee member, Australasian Data Mining Conference (AusDM 2008), 2008Technical Co-Chair and Program Committee member, International Conference on Simulated Evolution and Learning (SEAL 2008), 2008Technical co-chair, The IEEE Congress on Evolutionary Computation, CEC'07, Singapore, September 2007., 2007.Program co-chair, The IEEE International Conference on Artificial Life, Honolulu, Apr 2007., 2007.Program Committee member, Genetic and Evolutionary Computation Conference (GECCO 2006), 2006Technical co-chair, The 6th International Conference on Simulated Evolution and Learning (SEAL'06), Heifa , China, October, 2006., 2006.Conference co -chair, The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Complexity and Nonlinear Dynamics, Adelaide, 2006., 2006.Conference co-chair, The Second Australian Conference on Artificial Life (ACAL 05), Sydney, Australia, 2005., 2005.General co-chair, "The Australian Conference on Artificial Life (ACAL)", Canberra, Australia, 2003., 2003.Program Committee member, Genetic and Evolutionary Computation Conference (GECCO 2003), 2003Vic general chair and proceedings co -chair, IEEE Congress on Evolutionary Computation, Canberra, Australia, 2003., 2003Special session co-chair on swarm intelligence, "4th Asia-Pacific Conference on Simulated Evolution and Learning", Singapore, 2002., 2002.Invited stream chair for data mining, "IFORS2002: The Sixteenth Triennial Conference of the International Federation of Operational Research Societies", Edinburgh, UK, 2002., 2002.Organising chair and program committee member, "The Australian National Joint Conference on Artificial Intelligence (AI'02)", Canberra, Australia, 2002., 2002.Program chair, "The ADFA Computer Science Post-graduate Conference", 2001., 2001.
Media
Media
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Interview on Nexus TRT World, 2026-10-01
Open coverage -
DoomsdAI, The Cedar Lounge Revolution, 2026-09-25
Open coverage -
Weltuntergang durch KI: konkrete Gefahren durch künstliche Intelligenz, Stuttgarter Zeitung, 2026-09-18
Open coverage
Interview on Nexus TRT World, 2026-10-01DoomsdAI, The Cedar Lounge Revolution, 2026-09-25Weltuntergang durch KI: konkrete Gefahren durch künstliche Intelligenz, Stuttgarter Zeitung, 2026-09-18Puede la inteligencia artificial acabar con la humanidad?, WNDU, 2026-09-15La IA es peligrosa para la humanidad: investigadores advierten, Caracol Radio, 2026-09-14Kann KI die Menschheit auslöschen - und wenn ja, wann und wie?, Stuttgarter Zeitung, 2026-09-12Doomsday tech: could AI really kill us all?, AFP, 2026-09-11Doomsday Tech: Could AI Really Kill Us All?, Asharq Al-Awsat, 2026-09-11Can AI really kill us all?, Carroll County Observer, 2026-09-11Investigadores advierten riesgos de inteligencia artificial avanzada, Corrientes Press, 2026-09-11Doomsday tech: could AI really kill us all?, Dawn, 2026-09-11Doomsday tech: could AI really kill us all?, Gulf News, 2026-09-11Doomsday tech: could AI really kill us all?, Internationly, 2026-09-11Doomsday tech: could AI really kill us all?, Oman Observer, 2026-09-11Doomsday tech: confronting the risks of AI destruction, RadioMzansi, 2026-09-11Doomsday tech: could AI really kill us all?, RTÉ, 2026-09-11Could AI really kill us all?, The Daily Star, 2026-09-11AI's dark side: could it really end humanity?, The News International, 2026-09-11L'IA pourrait-elle tous nous tuer?, TVA Nouvelles, 2026-09-11Expertos advierten riesgos de inteligencia artificial sin regulación, Valle24, 2026-09-11The AI extinction-risk debate has entered a new phase, Artiverse, 2026-09¿Puede la inteligencia artificial aniquilar a la humanidad?, El Espectador, 2026-09¿Puede la IA aniquilar a la humanidad?, El Financiero, 2026-09IA: les défis posés par les systèmes de nouvelle génération, Ici Beyrouth, 2026-09Puede la inteligencia artificial aniquilar a la humanidad?, La Teja, 2026-09AI extinction risk: scientists warn of existential threat as labs race ahead, Morning Wire, 2026-09Kann KI die Menschheit auslöschen - und wenn ja, wann und wie?, Murrhardter Zeitung, 2026-09Anthropic: la démission de Jacob Coxon relance le débat sur les risques de l'IA, Québec Nouvelles, 2026-09Puede la inteligencia artificial aniquilar a la humanidad?, Univision Syndication, 2026-09Tecnologia do fim do mundo: pode a IA aniquilar a humanidade?, ZAP Notícias, 2026-09OpenAI model hacked Hugging Face during evaluation, AI Token, 2026-08Cuando la IA deja de responder y comienza a actuar, Ideox, 2026-08OpenAI's models autonomously hacked a tech startup, AIhub, 2026-07-28OpenAI Agent Breaks Free and Hacks Hugging Face, 3 Quarks Daily, 2026-07-24OpenAI's models autonomously hacked a tech startup, UNSW Newsroom, 2026-07-24OpenAI's models autonomously hacked a tech startup, AIssential, 2026-07-23OpenAI Agent Breaks Free and Hacks Hugging Face, SingularityHub, 2026-07-23OpenAI's models autonomously hacked a tech startup, SpinGraph, 2026-07-23Rogue OpenAI model launches cyberattack against another firm, To Vima, 2026-07-22Albanese announces Office of AI, Australian Science Media Centre / Scimex, 2026-07-15Coverage of an OpenAI model's autonomous cyberattack, taz, 2026-07Expert commentary / news interview, DW, 2026Expert commentary on autonomous cyber attack, DW, 2026Expert commentary, France 24 / AFP, 2026Republication / expert commentary, interest.co.nz, 2026Feature: AI Insider, Inside UNSW, 2026OpenAI's models autonomously hacked a tech startup. It signals a seismic shift in cybersecurity, The Conversation, 2026-07-23Radio interview on AI research, ABC Radio National Breakfast, 2025Northern Territory Indigenous language Jingili could unlock communication secret between humans and Artificial Intelligence, Canberra Times, 9-Aug-2022Northern Territory Indigenous language Jingili could unlock communication secret between humans and Artificial Intelligence, Katherine Times, 6-Aug-2022National Talkblack Interview, Cairns Indigenous Community Radio Station, Bumma Bippera Media (BBM) 98.7fm, 4-Aug-2022Australian Indigenous language used in AI breakthrough: Simple syntax translates into powerful AI commands, Information Age, Australian Computer Society, 4-Aug-2022Jingulu language, Wikipedia, 3-Aug-2022El idioma aborigen puede ayudar a resolver problemas de IA, 3-Aug-2022Australian researchers develop new communication system inspired by rare NT Aboriginal language Jingulu, ABC News, Darwin, 2-Aug-2022Des chercheurs australiens développent un nouveau système de communication inspiré de la langue aborigène rare du NT Jingulu, Postsus, 1-Aug-2022Lengua aborigen australiana revolucionaría la Inteligencia Artificial, Tu Manana, 26-Jul-2022Lengua aborigen australiana podría resolver problemas de IA, El Impracial, 22-Jul-2022Rare Aboriginal language ‘helps humans talk to AI machines’, The Times, UK, 21-Jul-2022Aboriginal language could help solve complex AI problems, Techxplore, 19-Jul-2022Aboriginal language could help solve complex AI problems, UNSW News Room, 18-Jul-2022IEEE Experts on How AI is Impacting COVID-19 Research, Business, and Education, MediaPlanet, 30-Dec-2020Machine Education: Demonopolising Artificial Intelligence, LinkedIn, 17-May-2020Robotics and coding big focus for rural school students preparing for future job industries,ABC News, 26-Nov-2019A ‘smart home’ device for the privacy conscious: Google Nest Hub Max review, New Daily, 04-Oct-2019Curious Kids: are robots smarter than humans? 20-February-2019Deepfakes 2.0: The terrifying future of AI and fake news, Daily Dot, 5-October-2018'Citizenship for Sale', The Global Citizenship Review, Henley and Partners, 21-August-2018The Human Rights Commission Report on Human Rights and Technology Issues Paper, An Interview with 2CC Radio, Canberra, 2-August-2018Por que a nova Inteligência Artificial do Google levanta preocupações éticas, IDG Now, 11-May-2018Duplex, la technologie Google qui va trop loin?, Le Monde Informatique, 11-May-2018Google's Duplex should come with a caveat, says artificial intelligence expert, Phys.ORG, 11-May-2018Google Duplex should introduce itself as a robot: AI expert, CIO, 11-May-2018Commentary on Google Duplex: The new AI technology that can make phone calls on your behalf, New Daily, 10-May-2018Robots that Look Like Us, Big Ideas, ABC National, 6-May-2018Explore the theme of relationships in Patricia Piccinini's work, Robotics and Art, Queensland Gallary of Modern Art, 26-Apr-2018Do Robots Deserve Human Rights? 5-Dec-2017An AI professor explains: three concerns about granting citizenship to robot Sophia 30-Oct-2017Artificial intelligence begins to transform security landscape, Jane's Intelligence Review, 2017The Artificial Intelligence Revolution - Its Science, Impacts and Issues, Questacon, 8-May, 2017A Plenary Speeches on Trusted Autonomy: Challenges and Opportunities for Computational Intelligence, 31-Jan to 2-Feb, Melbourne, 2017The Computer Says Yes, Innovation Month - 24 July 2015Public Sector Must Adopt Artificial Intelligence - The Mandarin - 24 July 2015The Human Machine Balance - International Innovation - Issue 183 June 2015Inside Intelligence, International Innovation MagazineMan and Machine - Uniken - Issue 74 2014Computational Intelligence on ABC News - 2012Australian Innovation Report - 2010Follow That Bug - Cheryl Jones - The Australian IT - May 2002Interview on Nexus TRT World, 2026-10-01DoomsdAI, The Cedar Lounge Revolution, 2026-09-25Weltuntergang durch KI: konkrete Gefahren durch künstliche Intelligenz, Stuttgarter Zeitung, 2026-09-18Puede la inteligencia artificial acabar con la humanidad?, WNDU, 2026-09-15La IA es peligrosa para la humanidad: investigadores advierten, Caracol Radio, 2026-09-14Kann KI die Menschheit auslöschen - und wenn ja, wann und wie?, Stuttgarter Zeitung, 2026-09-12Doomsday tech: could AI really kill us all?, AFP, 2026-09-11Doomsday Tech: Could AI Really Kill Us All?, Asharq Al-Awsat, 2026-09-11Can AI really kill us all?, Carroll County Observer, 2026-09-11Investigadores advierten riesgos de inteligencia artificial avanzada, Corrientes Press, 2026-09-11Doomsday tech: could AI really kill us all?, Dawn, 2026-09-11Doomsday tech: could AI really kill us all?, Gulf News, 2026-09-11Doomsday tech: could AI really kill us all?, Internationly, 2026-09-11Doomsday tech: could AI really kill us all?, Oman Observer, 2026-09-11Doomsday tech: confronting the risks of AI destruction, RadioMzansi, 2026-09-11Doomsday tech: could AI really kill us all?, RTÉ, 2026-09-11Could AI really kill us all?, The Daily Star, 2026-09-11AI's dark side: could it really end humanity?, The News International, 2026-09-11L'IA pourrait-elle tous nous tuer?, TVA Nouvelles, 2026-09-11Expertos advierten riesgos de inteligencia artificial sin regulación, Valle24, 2026-09-11The AI extinction-risk debate has entered a new phase, Artiverse, 2026-09¿Puede la inteligencia artificial aniquilar a la humanidad?, El Espectador, 2026-09¿Puede la IA aniquilar a la humanidad?, El Financiero, 2026-09IA: les défis posés par les systèmes de nouvelle génération, Ici Beyrouth, 2026-09Puede la inteligencia artificial aniquilar a la humanidad?, La Teja, 2026-09AI extinction risk: scientists warn of existential threat as labs race ahead, Morning Wire, 2026-09Kann KI die Menschheit auslöschen - und wenn ja, wann und wie?, Murrhardter Zeitung, 2026-09Anthropic: la démission de Jacob Coxon relance le débat sur les risques de l'IA, Québec Nouvelles, 2026-09Puede la inteligencia artificial aniquilar a la humanidad?, Univision Syndication, 2026-09Tecnologia do fim do mundo: pode a IA aniquilar a humanidade?, ZAP Notícias, 2026-09OpenAI model hacked Hugging Face during evaluation, AI Token, 2026-08Cuando la IA deja de responder y comienza a actuar, Ideox, 2026-08OpenAI's models autonomously hacked a tech startup, AIhub, 2026-07-28OpenAI Agent Breaks Free and Hacks Hugging Face, 3 Quarks Daily, 2026-07-24OpenAI's models autonomously hacked a tech startup, UNSW Newsroom, 2026-07-24OpenAI's models autonomously hacked a tech startup, AIssential, 2026-07-23OpenAI Agent Breaks Free and Hacks Hugging Face, SingularityHub, 2026-07-23OpenAI's models autonomously hacked a tech startup, SpinGraph, 2026-07-23Rogue OpenAI model launches cyberattack against another firm, To Vima, 2026-07-22Albanese announces Office of AI, Australian Science Media Centre / Scimex, 2026-07-15Coverage of an OpenAI model's autonomous cyberattack, taz, 2026-07Expert commentary / news interview, DW, 2026Expert commentary on autonomous cyber attack, DW, 2026Expert commentary, France 24 / AFP, 2026Republication / expert commentary, interest.co.nz, 2026Feature: AI Insider, Inside UNSW, 2026OpenAI's models autonomously hacked a tech startup. It signals a seismic shift in cybersecurity, The Conversation, 2026-07-23Radio interview on AI research, ABC Radio National Breakfast, 2025Northern Territory Indigenous language Jingili could unlock communication secret between humans and Artificial Intelligence, Canberra Times, 9-Aug-2022Northern Territory Indigenous language Jingili could unlock communication secret between humans and Artificial Intelligence, Katherine Times, 6-Aug-2022National Talkblack Interview, Cairns Indigenous Community Radio Station, Bumma Bippera Media (BBM) 98.7fm, 4-Aug-2022Australian Indigenous language used in AI breakthrough: Simple syntax translates into powerful AI commands, Information Age, Australian Computer Society, 4-Aug-2022Jingulu language, Wikipedia, 3-Aug-2022El idioma aborigen puede ayudar a resolver problemas de IA, 3-Aug-2022Australian researchers develop new communication system inspired by rare NT Aboriginal language Jingulu, ABC News, Darwin, 2-Aug-2022Des chercheurs australiens développent un nouveau système de communication inspiré de la langue aborigène rare du NT Jingulu, Postsus, 1-Aug-2022Lengua aborigen australiana revolucionaría la Inteligencia Artificial, Tu Manana, 26-Jul-2022Lengua aborigen australiana podría resolver problemas de IA, El Impracial, 22-Jul-2022Rare Aboriginal language ‘helps humans talk to AI machines’, The Times, UK, 21-Jul-2022Aboriginal language could help solve complex AI problems, Techxplore, 19-Jul-2022Aboriginal language could help solve complex AI problems, UNSW News Room, 18-Jul-2022IEEE Experts on How AI is Impacting COVID-19 Research, Business, and Education, MediaPlanet, 30-Dec-2020Machine Education: Demonopolising Artificial Intelligence, LinkedIn, 17-May-2020Robotics and coding big focus for rural school students preparing for future job industries,ABC News, 26-Nov-2019A ‘smart home’ device for the privacy conscious: Google Nest Hub Max review, New Daily, 04-Oct-2019Curious Kids: are robots smarter than humans? 20-February-2019Deepfakes 2.0: The terrifying future of AI and fake news, Daily Dot, 5-October-2018'Citizenship for Sale', The Global Citizenship Review, Henley and Partners, 21-August-2018The Human Rights Commission Report on Human Rights and Technology Issues Paper, An Interview with 2CC Radio, Canberra, 2-August-2018Por que a nova Inteligência Artificial do Google levanta preocupações éticas, IDG Now, 11-May-2018Duplex, la technologie Google qui va trop loin?, Le Monde Informatique, 11-May-2018Google's Duplex should come with a caveat, says artificial intelligence expert, Phys.ORG, 11-May-2018Google Duplex should introduce itself as a robot: AI expert, CIO, 11-May-2018Commentary on Google Duplex: The new AI technology that can make phone calls on your behalf, New Daily, 10-May-2018Robots that Look Like Us, Big Ideas, ABC National, 6-May-2018Explore the theme of relationships in Patricia Piccinini's work, Robotics and Art, Queensland Gallary of Modern Art, 26-Apr-2018Do Robots Deserve Human Rights? 5-Dec-2017An AI professor explains: three concerns about granting citizenship to robot Sophia 30-Oct-2017Artificial intelligence begins to transform security landscape, Jane's Intelligence Review, 2017The Artificial Intelligence Revolution - Its Science, Impacts and Issues, Questacon, 8-May, 2017A Plenary Speeches on Trusted Autonomy: Challenges and Opportunities for Computational Intelligence, 31-Jan to 2-Feb, Melbourne, 2017The Computer Says Yes, Innovation Month - 24 July 2015Public Sector Must Adopt Artificial Intelligence - The Mandarin - 24 July 2015The Human Machine Balance - International Innovation - Issue 183 June 2015Inside Intelligence, International Innovation MagazineMan and Machine - Uniken - Issue 74 2014Computational Intelligence on ABC News - 2012Australian Innovation Report - 2010Follow That Bug - Cheryl Jones - The Australian IT - May 2002
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