Complete Lists

Content archive

Complete lists

Publications, grants, team, teaching, service, media, and profile records are loaded from modular CSV files.

Profile

About

Operationalising ethical and trustworthy decentralized human-AI ecosystems.

About Me

Original profile, fellowships, research focus, and questions.

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.

Profile

Artificial Intelligence - Autonomous Systems - Quantum Computations - Humans - Swarm - Ethics - Trust

Tagline

Publications and Grants

Research

Publications and grants preserved from the original research page, with the original source categories retained in each row.

Publications

Authored Books, Selected Edited Books, Journals, Conferences, Book Chapters, Editorship, and Invited Talks.

Authored Books

4 records

Edited Volumes

7 records

Journal Manuscripts

127 records

Hepworth, A. J., Hussein, A., Reid, D. J., and Abbass, H. A. (2022). Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts. Adaptive Behavior, 10597123221137090.

Journals

Dong, X., Garratt, M. A., Anavatti, S. G., and Abbass, H. A. (2022). Towards Real-Time Monocular Depth Estimation for Robotics: A Survey. IEEE Transactions on Intelligent Transportation Systems.

Journals

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, 116605.

Journals

Dong, X., Garratt, M. A., Anavatti, S. G., and Abbass, H. A. (2022). Mobilexnet: An efficient convolutional neural network for monocular depth estimation. IEEE Transactions on Intelligent Transportation Systems, 23(11), 20134-20147.

Journals

Liu, X., Kasmarik, K., and Abbass, H. (2022). Assessing Player Profiles of Achievement, Affiliation, and Power Motivation Using Electroencephalography. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(6), 3648-3658, June 2022.

Journals

El-fiqi H., Wang M., Merrick, K., Bezerianos A., Tan K.C., and Abbass, H.A. (2022). Weighted Gate Layer Autoencoders. IEEE Transactions on Cybernetics, 52(8), 7242-7253, 2022.

Journals

Vahidnia, S., Abbasi, A., and Abbass, H. A. (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.

Journals

Abbass, H., Petraki, E., Hussein, A., McCall, F., and Elsawah, S. (2021). A model of symbiomemesis: machine education and communication as pillars for human-autonomy symbiosis. Philosophical Transactions of the Royal Society A, 379(2207), 20200364.

Journals

Debie, E., Raul F.R., Fidock, J., Barlow, M., Merrick, K., Anavatti, S., Garratt, M., and Abbass H.A. (2021). Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review. IEEE Transactions on Cybernetics, 51(3), 1542-1555.

Journals

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, 1-32.

Journals

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, 134-141.

Journals

Liu, J., Anavatti, S., Garratt, M., Tan, K. C., and Abbass, H. A. (2021). A survey, taxonomy and progress evaluation of three decades of swarm optimisation. Artificial Intelligence Review, 1-119.

Journals

Liu, J., Anavatti, S., Garratt, M., and Abbass, H. A. (2021). Multi-operator continuous ant colony optimisation for real world problems. Swarm and Evolutionary Computation, 100984.

Journals

Vahidnia, S., Abbasi, A., and Abbass, H. A. (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.

Journals

Yaxley, K. J., Joiner, K. F., and Abbass, H. (2021). Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding. Scientific reports, 11(1), 1-9.

Journals

Wang M., ElFiqi H., Hu J., and Abbass H.A. (2019). Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-based Person Identification in Diverse Human States. IEEE Transactions on Information Forensics & Security, 14(12), 3259-3272. https://ieeexplore.ieee.org/document/8716699

Journals

Greenwood G., Abbass H.A., and Petraki E. (2018). When is Altruistic Punishment Useful in Social Dilemmas?. BioSystems, 174, 60-62. DOI:doi.org/10.1016/j.biosystems.2018.10.015.

Journals

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 & Rehabilitation Engineering, 26(9), 1858-1867. DOI: 10.1109/TNSRE.2018.2864119

Journals

Xiao M., Cai K., and Abbass H.A. (2018). Hybridized Encoding for Evolutionary Multi-objective Optimization of Air Traffic Network Flow: A Case Study on China. Transportation Research Part E, 115, 35-55, https://doi.org/10.1016/j.tre.2018.04.011.

Journals

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), 141-155. DOI: 10.1109/TNSE.2017.2745108

Journals

Leu, G. and Abbass, H.A. (2016). A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents. Knowledge-Based Systems, 105, 1-22, August. DOI:10.1016/j.knosys.2016.02.012.

Journals

ElFiqi H., Petraki E., and Abbass H. A. (2016). Pairwise Comparative Classification for Translator Stylometric Analysis. ACM Transactions on Asian Language Information Processing, 16(1), Article 2 Online first, DOI:10.1145/2898997.

Journals

Xin Q., Xu J.X., Tan K.C., and Abbass H. A. (2016). Adaptive Cross-Generation Differential Evolution Operators for Multi-objective Optimization. IEEE Transactions on Evolutionary Computation, 20(2), 232-244. DOI:10.1109/TEVC.2015.2433672.

Journals

Ghoneim A and Abbass H.A. (2016). A Multiobjective Distance Separation Methodology to Determine Sector-Level Minimum Separation for Safe Air Traffic Scenarios. European Journal of Operational Research, 253(1), 226-240, DOI:10.1016/j.ejor.2016.02.031.

Journals

Xiong, J., Leus, R., Yang, Z., and Abbass, H. A. (2016). Evolutionary multi-objective resource allocation and scheduling in the Chinese navigation satellite system project. European Journal of Operational Research, 251(2), 662-675, DOI:10.1016/j.ejor.2015.11.031

Journals

Harvey J., Merrick K., and Abbass H.A.(2015). Application of chaos measures to a simplified Boids flocking model. Swarm Intelligence, vol. 9, pp. 23-41.

Journals

Schiechowski M, Merrick K, Mandziuk J, and Abbass H (2015) Human Machine Cooperation Loop in Game Playing, International Journal on Advances in Intelligent Systems, vol. 8, pp. 310 - 323, https://www.thinkmind.org/index.php?view=article&articleid=intsys_v8_n34_2015_8.

Journals

Abbass H.A., Jiangjun T., Ellejmi M., Kirby S. (2014). Visual and auditory reaction time for air traffic controllers using quantitative electroencephalograph (QEEG) data. Brain Informatics, no. 2198-4018.

Journals

Leu G., Curtis N., and Abbass H.A. (2014). Society of Mind cognitive agent architecture applied to drivers adapting in a traffic context. Adaptive Behaviour, vol. 22, no. 2, pp. 123 - 145.

Journals

Abbass H.A., Tang J., Amin R., Ellejmi M., Kirby S. (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, vol. 52, no. 2, pp. 10-17.

Journals

Xiong J., Liu J., Chen Y., and Abbass H.A. (2014) . A Knowledge-based Evolutionary Multi-objective Approach for Stochastic Extended Resource Investment Project Scheduling Problems. IEEE Transactions on Evolutionary Computation, vol. 18, no. 5, pp. 742 - 763.

Journals

Zhao W., Alam S., Abbass H.A. (2014) . MOCCA-II: A multi-objective co-operative co-evolutionary algorithm. Applied Soft Computing, vol. 23, pp. 407-416.

Journals

Nguyen L., Bui L. and Abbass H.A. (2014) . DMEA-II: the Direction-based Multi-objective Evolutionary Algorithm - II. Soft Computing, vol. 18, no. 11, pp. 2119 - 2134.

Journals

Alam S., Lokan C., Aldis G., Barry S., Butcher R., and Abbass H.A. (2013) . Systemic Identification of Airspace Collision Risk Tipping points using an Evolutionary Multi-Objective Scenario-based Methodology. Transportation Research Part C, Elsevier, vol. 35, pp. 57 - 84.

Journals

Shafi K. and Abbass H.A. (2013) . Evaluation of an Adaptive Genetic-Based Signature Extraction System for Network Intrusion Detection. Pattern Analysis and Applications, Springer, vol. 16, no. 4, pp. 549 - 566.

Journals

Zhao W., Alam S. and Abbass H.A. (2013) . Evaluating Ground-Air Network Vulnerability in an Integrated Terminal Maneuvering Area Using Co-evolutionary Computational Red Teaming. Transportation Research Part C, Elsevier, 29(4), 32-54.

Journals

Wang S., Shafi K., Lokan C., and Abbass H.A. (2013) . An agent based model to simulate and analyse behaviour under noisy and deceptive information. Adaptive Behaviour, Sage, 21(2), 96-117, 2013.

Journals

Abbass HA, Tucek DC, Kirby S, and Ellejmi M (2013) . Brain Traffic Integration. Air Traffic Technology International, pp. 34 - 39.

Journals

Leu G, Curtis NJ, 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, vol. 17, pp. 851 – 861.

Journals

Liu J., Abbass H.A., Green D.G., Zhong W. (2012) . Motif Difficulty (MD): A Novel Predictive Measure of Problem Difficulty for Evolutionary Algorithms based on Network Motifs. Evolutionary Computation, MIT Press, 20(3), 1-27.

Journals

Alam S., Zhao W., Tang J., Lokan C., Ellejmi M., Kirby S. and Abbass H.A. (2012) . A Co-Evolutionary Framework for Identifying Delay Patterns in Arrival Traffic and Ground Events for Dynamic CDA Operations. Air Traffic Control Quarterly, 20(1), 47-72.

Journals

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, Elsevier, 21(1), 89-121.

Journals

Bui V., Pham V.V., Iorio A.W., Tang J., Alam S. and Abbass H.A. (2012) . Bio-Inspired Robotics for Air Traffic Weather Information Management. The Transactions of the Institute of Measurement and Control, Sage, 34(2-3), 291-317.

Journals

Bui L., Abbass H.A., Barlow M., and Bender A. (2012) . Robustness Against the Decision-Maker's Attitude to Risk in Problems with Conflicting Objectives. IEEE Transactions on Evolutionary Computation, 16(1), 1-19.

Journals

Abbass H.A. and Petraki E. (2011) . The Causes for No Causation: A Computational Perspective. Information Knowledge Systems Management, IOS Press, Information, Knowledge, and Systems Management, 10 (1-4), 51-74.

Journals

Liu J., Abbass H.A., Zhong W., Green D.G. (2011) . Local-Global Interaction and the Emergence of Scale-Free Networks with Community Structures. Artificial Life, MIT Press, 17(4), 263-279.

Journals

Alam S., Nguyen M.H., H.A. Abbass, C. Lokan, M. Ellejmi and S. Kirby (2011) . Multi-Aircraft Dynamic Continuous Descent Approach Methodology for Low Noise and Emission Guidance. AIAA Journal of Aircraft, 48(4), 1225-1237.

Journals

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, Springer-Verlag, 3(4), 271-285.

Journals

Zhong W., Abbass HA, Bender A, and Liu J. (2011) . Mixed Strategy and Coevolution Dynamics in Social Networks. Physica A: Statistical Mechanics and its Applications, Elsevier, 390(2), Pages 410-417.

Journals

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), 1735-1747.

Journals

Pham V.V., Tang J., Alam S., Lokan C., and Abbass H.A. (2010) . Australian Aviation Emission Inventory Development and Analysis. Environmental Modelling & Software, Elsevier, 25(12), 1738-1753.

Journals

S.L. Wang, K. Shafi, C. Lokan, and H.A. Abbass (2010) . Adversarial learning: the impact of statistical sample selection techniques on neural ensembles. Evolving Systems, 1(3): 181-197.

Journals

Quek H.Y., Tan K.C., and Abbass H.A. (2009) . Evolutionary Game Theoretic Approach for Modeling Civil Violence. IEEE Transactions on Evolutionary Computation, 13(4), Pages 1-21.

Journals

Rojanavasu P., Dam H.H., Abbass H.A., Lokan C. and Pinngern O. (2009) . A Self-Organized, Distributed, and Adaptive Rule-Based Induction System. IEEE Transactions on Neural Networks, 20(3), 446-459.

Journals

Quek H.Y., Tan K.C., Goh C.K., and Abbass H.A. (2009) . Evolution and incremental learning in the iterated prisoners dilemma. IEEE Transactions on Evolutionary Computation, 13(2), 303-320.

Journals

Bui L., Abbass H.A., and Essam D. (2009) . Localization for Solving Noisy Multi-objective Optimization Problems. Evolutionary Computations, MIT Press, 17(3), 379-409.

Journals

Alam S., Shafi K., H.A. Abbass and M. Barlow (2009) . An Ensemble Approach for Conflict Detection in Free Flight by Data Mining. Transportation Research Part C, 17(3), 298-317.

Journals

Shafi K. and Abbass H.A. (2009) . An Adaptive Genetic-Based Signature Learning System for Intrusion Detection. Expert Systems with Applications, Elsevier Science, 36(10), 12036-12043.

Journals

Macrossan P.E., Kinghorn B.P., and Abbass H.A. (2009) . Cyclic genotyping strategies III: Investigations into group genotyping. Journal of Animal Breeding and Genetics, 126(2), 117-126.

Journals

Bui L., Abbass H.A. and Essam D. (2009) . Local Models - an Approach to Distributed Multi-objective Optimization. Computational Optimization and Application Journal, 42(1), 105-139.

Journals

Abbass H.A. and Bender A. (2009) . The Pareto Operating Curve for Risk Minimization. Artificial Life and Robotics Journal, 14(4), 449-452.

Journals

Bui L.T., Barlow M. and Abbass H.A. (2009). A Multiobjective Risk-based Framework for Mission Capability Planning. New Mathematics and Natural Computation, World Scientific, 5(2), pp 459-485.

Journals

Shafi K., Kovacs T., Abbass H.A., and Zhu W. (2009) . Intrusion Detection with Evolutionary Learning Classifier Systems. Natural Computing, Springer, 8(1), 3-27.

Journals

Badham J., Abbass H.A., and Stocker R. (2008). Parameterisation of keeling€™s network generation algorithm. Journal of Theoretical Population Biology, 74(2), 161-166.

Journals

Dam H., Abbass H.A., Lokan C. and Yao X. (2008) . Negative Correlation Learning for Neural-Based Learning Classifier Systems. IEEE Transactions on Data and Knowledge Engineering, vol 20(1), 26-39.

Journals

Alam S., Abbass H.A. and Barlow M. (2008) . ATOMS: Air Traffic Operations and Management Simulator. IEEE Transactions on Intelligent Transportation, vol 9(2), 209-225.

Journals

Nguyen M.H., Abbass H.A. and McKay R. (2008) . Analysis of CCME: Coevolutionary Dynamics, Automatic Problem Decomposition and Regularization. IEEE Transactions on Systems, Man, Cybernetics, Part C, vol 38(1), 100-109.

Journals

Bui L., Deb K., Abbass H.A. and Essam D. (2008) . Interleaving Guidance in Evolutionary Multi-objective Optimization. Journal of Computer Science and Technology, 23(1), 4463.

Journals

Shafi K. and Abbass H.A. (2007) . Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection. Information Security Technical Reports, vol 12(4), 209-217, Elsevier Science.

Journals

Nguyen M.H., Abbass H.A. and McKay R. (2006) . A Novel Mixture of Experts Model Based on Cooperative Coevolution. Neurocomputing, Elsevier Science, Vol 1-3, 155-163.

Journals

H.A. Abbass (2006) . An economical cognitive approach for bi-objective optimization using bliss points, visualization, and interaction. Soft Computing, 10(8): 687-698 (2006)

Journals

Teo J. and Abbass H.A. (2005) . Multi-objectivity and Complexity in Embodied Cognition. IEEE Transactions on Evolutionary Computation, 9(4), pp. 337-360.

Journals

M.H. Nguyen, H.A. Abbass, R.I. McKay (2005) . Stopping criteria for ensemble of evolutionary artificial neural networks. Applied Soft Computing, 6(1): 100-107.

Journals

Jiang QS, Sarker R, and Abbass HA, (2005) Tracking Moving Objects and the Non stationary Travelling Salesman Problem, Complexity International: An electronic journal of complex systems research, vol. 11, pp. 171 - 179.

Journals

Liu B, Abbass H.A. and McKay R I (2004) . Classification Rule Discovery with Ant Colony Optimisation. IEEE Computational Intelligence Bulletin, 3(1), pp. 31-35. [Impact factors 2.622].

Journals

Teo J. and Abbass H.A. (2004) . Automatic Generation of Controllers for Embodied Legged Organisms: a Pareto Evolutionary Multi-Objective Approach. Evolutionary Computations, MIT Press, 12(3), pp. 355-394.

Journals

Teo J. and Abbass H.A. (2004) . Information-Theoretic Landscape Analysis of Neuro-Controlled Embodied Organisms. Neural Computing and Applications, Springer, 31(1), pp. 80-89.

Journals

Shan Y, Mckay RI, Abbass HA, and Essam D (2004) Program Distribution Estimation with Grammar Models, Complexity International: An electronic journal of complex systems research, vol. 11, pp. 191 - 205.

Journals

Abbass H.A. (2003) . Speeding up Back-Propagation Using Multiobjective Evolutionary Algorithms. Neural Computation, MIT Press, vol. 15, No 11, 2705-2726.

Journals

Teo J. and Abbass H.A. (2003) . A True Annealing Approach to the Marriage in Honey-Bees Optimization Algorithm. The International Journal of Computational Intelligence and Applications, Volume 3, No 2, pp 199-208.

Journals

McKay R. and Abbass H.A. (2003) . Artificial Life: An Introduction. The International Journal of Computational Intelligence and Applications, Volume 3, No 2, pp 143-144.

Journals

Teo J. and Abbass H.A. (2003) . Search Space Difficulty of Evolutionary Neuro-Controlled Legged Robots. The International Journal of Knowledge Based and Intelligent Engineering Systems, Volume 7, No 3, 149-156.

Journals

Abbass H.A., Towsey M., Kozan E. and Werf J. Van Der (2003) . Genetic Algorithms for a Large Scale Dynamic Allocation Problem. Journal of Applied System Sciences (JASS), Cambridge Press, 4(2).

Journals

Abbass H.A. (2002) . An evolutionary artificial neural networks approach for Breast Cancer Diagnosis. Artificial Intelligence in Medicine, Elsevier Science, vol 25/3 pp 265-281.

Journals

Abbass H.A. (2002) . An agent based approach to 3-SAT using marriage in honey-bees optimization. International Journal of Knowledge-Based and Intelligent Engineering Systems (KES) , Vol. 6, No. 2, pp. 1-8.

Journals

Abbass H.A. and Sarker R. (2002) . The Pareto Differential Evolution Algorithm. International Journal on Artificial Intelligence Tools, World Scientific, vol 11, No 4, pp 531-552, 2002.

Journals

McKay R. and Abbass H.A. (2001) . Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning. The Australian Journal of Intelligent Information Processing Systems (AJIIPS) , vol 7, No 3/4, pp 139-149.

Journals

Wang B.B., McKay R.I., Abbass H.A. and Barlow M. (2001) . Domain Ontology Guided Feature-Selection for Document Categorization. The Australian Journal of Intelligent Information Processing Systems (AJIIPS) , vol 7, No 3/4, pp 102-109.

Journals

Abbass H.A., Wiggen G., Lakshmanan R. and Morton B. (1999) . Constraint logic programming as a paradigm for heat exchanger network retrofit. The International Journal of Computers and Chemical Engineering, supplement volume of ESCAPE-9, PP.S127-S130.

Journals

Rasmy M.H. and Abbass H.A. (1991) . An interactive constraint method for solving linear programming problems. Journal of Egyptian Statistical Society, Vol. 2, July.

Journals

Rasmy M.H., Abbass H.A. and Labib M.M. (1991) . A proposed criterion to select the entering variable in Simplex method. (between theory and practice). Engineering Research Bulletin, Helwan Univ., Vol. 3, March.

Journals

Conference Papers

187 records

Dam, T., Ferdaus, M. M., Anavatti, S. G., Jayavelu, S., and Abbass, H. A. (2021, October). Does Adversarial Oversampling Help us? In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (pp. 2970-2973).

Conferences

Baxter, D. P., Hepworth, A. J., Joiner, K. F., and Abbass, H. (2022, September). On the premise of a swarm guidance ontology for human-swarm teaming. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 66, No. 1, pp. 2249-2253). Sage CA: Los Angeles, CA: SAGE Publications.

Conferences

Mohamed, R. E., Elsayed, S., Hunjet, R., and Abbass, H. (2021, June). A Graph-based Approach for Shepherding Swarms with Limited Sensing Range. In 2021 IEEE Congress on Evolutionary Computation (CEC) (pp. 2315-2322). IEEE.

Conferences

Dam, T., Ferdaus, M. M., Pratama, M., Anavatti, S. G., Jayavelu, S., and Abbass, H. (2022, October). Latent Preserving Generative Adversarial Network for Imbalance classification. In 2022 IEEE International Conference on Image Processing (ICIP) (pp. 3712-3716). IEEE.

Conferences

Campbell, B., El-Fiqi, H., Hunjet, R., andAbbass, H. (2021, July). Distributed multi-agent shepherding with consensus. In International Conference on Swarm Intelligence (pp. 168-181). Springer, Cham.

Conferences

Hussein A., Petraki E., El-Sawah S., and Abbass H.A. (2022). Autonomous Swarm Shepherding Using Curriculum-Based Reinforcement Learning. International Conference on Autonomous Agents and Multiagent Systems (AAMAS22), Auckland, NZ.

Conferences

Dam, T., Ferdaus, M. M., Anavatti, S. G., Jayavelu, S., and Abbass, H. A. (2021, October). Does Adversarial Oversampling Help us?. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (pp. 2970-2973).

Conferences

McCall, F., Hussein, A., Petraki, E., Elsawah, S., and Abbass, H. (2021, December). Towards a systematic educational framework for human-machine teaming. In 2021 IEEE International Conference on Engineering, Technology and Education (TALE) (pp. 375-382). IEEE.

Conferences

Liu, J., Hussein, A., Anavatti, S., Garratt, M., and Abbass, H. A. (2021, December). UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 01-08). IEEE.

Conferences

Mohamed, R. E., Hunjet, R., Elsayed, S., and Abbass, H. (2021, November). Deep Learning For Noisy Communication System. In 2021 31st International Telecommunication Networks and Applications Conference (ITNAC) (pp. 40-47). IEEE.

Conferences

Mohamed, R. E., Elsayed, S., Hunjet, R., and Abbass, H. (2021, June). A Graph-based Approach for Shepherding Swarms with Limited Sensing Range. In 2021 IEEE Congress on Evolutionary Computation (CEC) (pp. 2315-2322). IEEE.

Conferences

Simpson, J., Oosthuizen, R., Sawah, S. E., and Abbass, H. (2021). Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control. International Conference on Command and Control, USA. arXiv preprint arXiv:2109.06874.

Conferences

Debie, E., Singh, H., Elsayed, S., Perry, A., Hunjet, R., and Abbass, H. (2021, October). A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2634-2641). IEEE.

Conferences

Campbell, B., El-Fiqi, H., Hunjet, R., and Abbass, H. (2021, July). Distributed Multi-agent Shepherding with Consensus. In International Conference on Swarm Intelligence (pp. 168-181). Springer, Cham.

Conferences

Francis, S., Anavatti, S. G., Garratt, M., and Abbass, H. A. (2021). Real-Time Multi-obstacle Detection and Tracking Using a Vision Sensor for Autonomous Vehicle. In Communication and Intelligent Systems (pp. 873-883). Springer, Singapore.

Conferences

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. IEEE Symposium Series on Computational Intelligence, Canberra, Australia.

Conferences

Elsayed, S., Singh, H., Debie, E., Perry, A., Campbell, B., Hunjet, R., and Abbass, H. (2020). Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution. IEEE Symposium Series on Computational Intelligence, Canberra, Australia.

Conferences

Nguyen, H. T., Garratt, M., Bui, L. T., and Abbass, H. (2020). Disturbances in influence of a shepherding agent is more impactful than sensorial noise during swarm guidance. IEEE Symposium Series on Computational Intelligence, Canberra, Australia.

Conferences

El-Fiqi, H., Campbell, B., Elsayed, S., Perry, A., Singh, H. K., Hunjet, R., and Abbass, H. (2020, July). A preliminary study towards an improved shepherding model. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 75-76).

Conferences

Hussein A., El-Sawah S., and Abbass H.A. (2020). Swarm Collective Wisdom: A Fuzzy-Based Consensus Approach for Evaluating Agents Confidence in Global States. IEEE International Confernce on Fuzzy Systems (FUZZ-IEEE 2020), Glasgow, UK.

Conferences

Nguyen T., Liu J., Nguyen H., Kasmarik K., Anavatti S., Garratt M., and Abbass, H.A. (2020). Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. Joint International Conference on Neural Networks (IJCNN 2020), Glasgow, UK.

Conferences

Hussein A., El-Sawah S., and Abbass H.A. (2020). Towards Trust-Aware Human-Automation Interaction: An Overview of the Potential of Computational Trust Models . 53rd Hawaii International Conference on System Sciences (HICSS-53), Hawaii, USA.

Conferences

Vahidnia, S., Abbasi, A., and Abbass, H. A. (2020). A Framework for Understanding the Dynamics of Science: A Case Study on AI. Procedia Computer Science, 177, 581-586.

Conferences

Vahidnia, S., Abbasi, A., and Abbass, H. A. (2020). Document Clustering and Labeling for Research Trend Extraction and Evolution Mapping. EEKE 2020 - Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents, Wuhan, China.

Conferences

Abbass H., El-Sawah S., Petraki E., and Hunjet R. (2019). Machine Education: Designing Semantically Ordered and Ontologically Guided Transparent and Explainable Modular Neural Networks. IEEE Symposium Series on Computational Intelligence, (IEEE SSCI19), Xiamen, China.

Conferences

Nguyen H., Garratt M., Bui L., Abbass, H.A. (2019). Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task. IEEE Symposium Series on Computational Intelligence, (IEEE SSCI19), Xiamen, China.

Conferences

Wade H., and Abbass H.A. (2019). Cyber-Shepherd: A Smartphone-based Game for Human and Autonomous Swarm Control. IEEE Systems, Man, Cybernetics Conference, Bari, Italy.

Conferences

Hussein A., El-Sawah S., and Abbass H.A. (2019). Investigating Gender Differences in Human Interactions with a Transparent Swarm. Human Factors and Ergonomics Society's 2019 International Annual Meeting, Seattle, Washington, USA. pp. 853 - 857.

Conferences

Hussein A., El-Sawah S., and Abbass H.A. (2019). A System Dynamics Model for Human Trust in Automation under Speed and Accuracy Requirements. Human Factors and Ergonomics Society's 2019 International Annual Meeting, Seattle, Washington, USA.

Conferences

Gee A. and Abbass H.A. (2019).Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design. International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary.

Conferences

Clayton N. and Abbass H.A. (2019).Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding. IEEE Congress on Evolutionary Computation, Wellington, New Zealand.

Conferences

Singh H., Campbell B., Elsayed S., Perry A., Huntjet R. and Abbass H.A. (2019). Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach. IEEE Congress on Evolutionary Computation, Wellington, New Zealand.

Conferences

Tang J., Alam S., and Abbass H.A. (2019). An Airspace Collision Risk Simulator for Safety Assessment. Winter Simulation ConferenceNational Harbor, Maryland, USA.

Conferences

El-Fiqi H., Kasmarik K., Bezerianos A., Tan K.C., and Abbass H.A. (2019). Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary.

Conferences

El-Fiqi H., Wang M., Salimi N., Kasmarik K., Barlow M., and Abbass H.A. (2018). Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential. IEEE Systems, Man, and Cybernetics Conference, Miyazaki, Japan.

Conferences

Wang M., Hussein A., Rojas R., Shafi K., and Abbass H.A. (2018). EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction. IEEE Symposium Series on Computational Intelligence, Bengaluru, India.

Conferences

Nguyen H., Tran P.V., Nguyen D.T., Garratt M., Kasmarik K., Barlow M., Anavatti S., Abbass, H.A. (2018). Apprenticeship Bootstrapping via Deep Learning with a Safety Net for UAV-UGV Interaction. AAAI Fall Symposium Series, Interactive Learning in Artificial Intelligence for Human-Robot Interaction Symposium (AI-HRI 18), Arlington, Virginia, USA.

Conferences

Greenwood G., Abbass H.A., and E. Petraki (2018). A Critical Analysis of Punishment in Public Goods Games. IEEE Computational Intelligence in Games (CIG18), Maastricht, the Netherlands.

Conferences

Nguyen H., Garratt M., Bui L., Abbass, H.A. (2018). Apprenticeship Bootstrapping: Inverse Reinforcement Learning in Multi-Skill UAV-UGV Tracking Task. International Conference on Autonomous Agents and Multiagent Systems (AAMAS18), Stockholm, Sweden.

Conferences

Wang M., Hu J., Abbass, H.A. (2018). Multi-scale Weighted Inherent Fuzzy Entropy for EEG Biomarkers. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio de Janeiro, Brazil.

Conferences

Nguyen H., Garratt M., Bui L., Abbass, H.A. (2018). Apprenticeship Bootstrapping. Joint International Conference on Neural Networks (IJCNN18) , Rio de Janeiro, Brazil.

Conferences

Nguyen T., Nguyen H., Debbie E., Kasmarik K., Garratt M., Abbass, H.A. (2018). Swarm Q-Learning With Knowledge Sharing Within Environments for Formation Control. Joint International Conference on Neural Networks (IJCNN18), Rio de Janeiro, Brazil.

Conferences

Nguyen H., Garratt M., Bui L., Abbass, H.A. (2017). Supervised deep actor network for imitation learning in a Ground-Air UAV-UGVs coordination task. IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Hawaii, USA.

Conferences

Hossain M., Alam S., Abbass H. (2017). A dynamic multi-commodity flow optimization algorithm for estimating airport network capacity. In Air Traffic Management and Systems II, Lecture Notes in Electrical Engineering, vol. 420, 420: 205-220.

Conferences

Greenwood G., Abbass H.A., and Petraki E. (2017). Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma. Lecture Notes Artificial Intelligence, 10142, Springe-Verlag, 12-24.

Conferences

Zhang B., Shafi K., Abbass H.A. (2016). Hybrid knowledge-based evolutionary many-objective optimization. IEEE Congress on Evolutionary Computation, 1007-1014.

Conferences

Goh S.K., Abbass H.A., Tan K.C., Al-Mamun A., Guan C., Wang C.C. (2016). Multiway analysis of EEG artifacts based on Block Term Decomposition. Proceedings of the International Joint Conference on Neural Networks. 2016-October: 913-920.

Conferences

Tang J., Petraki E., Abbass H.A. (2016). Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model. International Conference on Swarm Intelligence, Bali, Indonesia, Springer International Publishing. 9712: 14-23. [Awarded Best Paper]

Conferences

Abdelfattah S., Merrick K., Abbass H .A. (2016). Theta-Beta Ratios Are Prominent EEG Features for Visual Tracking Tasks. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 60, No. 1, pp. 21-25). SAGE Publications.

Conferences

Abdelfattah S; Merrick K; Abbass H (2016). Eye Movements as Information Markers in EEG Data. IEEE Symposium Series on Computational Intelligence, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 - 09 December 2016

Conferences

Dunk I; Abbass H (2016). Emergence of Autonomy in Leader-Follower Boids-Inspired Systems. IEEE Symposium Series on Computational Intelligence, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 - 09 December 2016

Conferences

Wang M; Abbass H; Hu J (2016). Continuous Authentication Using EEG and Face Images for Trusted Autonomous Systems. The 2016 Privacy, Security and Trust Fourteenth Annual Conference, Auckland, New Zealand, 12 - 14 December 2016

Conferences

Liu X; Merrick K; Abbass H (2016). Designing Artificial Agents to Detect the Motive Profile of Users in Virtual Worlds and Games. IEEE Symposium Series on Computational Intelligence, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 - 09 December 2016

Conferences

Wang M; Abbass H; Hu J; Merrick K (2016). Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks. The 8th International Conference on Brain-Inspired Cognitive Systems, China, presented at The 8th International Conference on Brain-Inspired Cognitive Systems, China, 01 - 01 January 2016

Conferences

Greenwood G., Abbass H.A., and Petraki E. (2016). Finite Population Trust Game Replicators. Australasian Conference on Artificial Life and Computational Intelligence, LNAI 9592, Springe-Verlag, pp. 324 - 335, 10.1007/978-3-319-28270-1_27.

Conferences

Leu, G., & Abbass, H. (2016). Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition. In Intelligent and Evolutionary Systems (pp. 319-332). Springer International Publishing.

Conferences

Harvey J; Merrick K; Abbass H (2016). Quantifying Swarming Behaviour. The Seventh International Conference on Swarm Intelligence, Indonesia, presented at The Seventh International Conference on Swarm Intelligence, Indonesia, 01 - 01 January 2016

Conferences

Abbass H.A. and Young L. (2015). From System Thinking to Capability Thinking using the Thinking Capability Analysis Technique. MODSIM.

Conferences

Al-Ani, A., Naik, G. R., & Abbass, H. A. (2015, November). A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Blind Source Separation Techniques. In Neural Information Processing (pp. 154-161). Springer International Publishing.

Conferences

Goh, S. K., Abbass, H. A., Tan, K. C., & Al Mamun, A. (2015). Evolutionary Big Optimization (BigOpt) of Signals. IEEE CEC, Japan.

Conferences

Wang B., Merrick K. and Abbass H.A. (2015). Autonomous Hypothesis Generation as Environment Learning Mechanism for Agent Design. LNCS 8955, Springer, 210-225.

Conferences

Abbass, H. A., Tang, J., Amin, R., Ellejmi, M., & Kirby, S. (2014, September). Augmented cognition using real-time EEG-based adaptive strategies for air traffic control. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 58, No. 1, pp. 230-234). SAGE Publications.

Conferences

Rafael Falcon, Rami Abielmona, Sean Billings, Alex Plachkov and Hussein Abbass (2014). Risk Management with Hard-Soft Data Fusion in Maritime Domain Awareness. IEEE Computational Intelligence in Defence and Security Symposium, Hanoi, December 2014.

Conferences

Abbass, H. A. (2014). Calibrating independent component analysis with laplacian reference for real-time EEG artifact removal. LNCS 8836, Springer, 68-75.

Conferences

Goh, S. K., Abbass, H. A., Tan, K. C., & Al Mamun, A. (2014). Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. LNCS 8834, Springer, 570-577.

Conferences

Leu G., Tang J., and Abbass H.A. (2014). On the role of working memory in trading-off skills and situation awareness in Sudoku. LNCS 8836, Springer, 571-578.

Conferences

Ren, S., Tang, J., Barlow, M., & Abbass, H. A. (2014, July). An interactive evolutionary computation framework controlled via EEG signals. In Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on (pp. 2402-2409). IEEE.

Conferences

Tang J. & Abbass H.A. (2014). Learning the Behavior of Aircraft Landing Sequencing using a Society of Probabilistic Finite State Machines. IEEE WCCI, Beijing, China, pp. 610-617.

Conferences

Amin R., Tang J., Ellejmiy M., Kirbyy S., and Abbass H.A. (2014). Trading-off Simulation Fidelity and Optimization Accuracy in Air-Traffic Experiments using Differential Evolution. IEEE WCCI, Beijing, China, pp. 475-482.

Conferences

Zhang B., Shafi K., and Abbass H.A. (2014). Online Knowledge-based Evolutionary Multi-Objective Optimization. pp. IEEE WCCI, Beijing, China, pp. 2222-2229.

Conferences

Rubai A., Tang J., Ellejmi M., Kirby S., and Abbass H.A. (2013). Computational Red Teaming for Correction of Traffic Events in Real Time Human Performance Studies. USA/Europe ATM R&D Seminar, Chicago, IL, USA,2013

Conferences

Nguyen L., Bui L. and Abbass H.A (2013). A New Niching Method for the Direction-based Multi-objective Evolutionary Algorithm. IEEE Symposium Series on Computational Intelligence, Singapore.

Conferences

Alam S., Hossain M., Lokan C., Barry S., Aldis G., Butcher R. and Abbass H.A. (2013). Real Time Prediction of Worst Case Air Traffic Sector Collision Risk using Evolutionary Optimization. IEEE Symposium Series on Computational Intelligence, Singapore.

Conferences

Amin R., Tang J., Ellejmi M., Kirby S. and Abbass H.A. (2013). An Evolutionary Goal-Programming Approach Towards Scenario Design for Air-Traffic Human-Performance Experiments. IEEE Symposium Series on Computational Intelligence, Singapore.

Conferences

Ghoneim, Ahmed, Garrison W. Greenwood, and Hussein Abbass. (2013). Distributing cognitive resources in one-against-many strategy games. IEEE Congress on Evolutionary Computation (CEC), 1387-1394. IEEE.

Conferences

Leu G., Curtis N., and Abbass H.A. (2012). Modeling and Evolving Human Behaviors and Emotions in Road Traffic Networks. Procedia Social and Behavioral Sciences, Elsevier, Vol 54, 999-1009.

Conferences

Ren S., Barlow M., and Abbass H.A. (2012). Frontal Cortex Neural Activities Shift Cognitive Resources Away from Facial Activities. 19th International Conference on Neural Information Processing (ICONIP2012), LNCS766, 132-139, Springer.

Conferences

Mount W., Tucek D. and Abbass H.A. (2012). A Psychophysiological Analysis of Weak Annoyances in Human Computer Interfaces. 19th International Conference on Neural Information Processing (ICONIP2012), LNCS7663, 202-209, Springer.

Conferences

Tucek D., Mount W. and Abbass H.A. (2012). Neural and Speech Indicators of Cognitive Load for Sudoku Game Interfaces. 19th International Conference on Neural Information Processing (ICONIP2012), LNCS7663, 210-217, Springer.

Conferences

Mount W., Tucek D. and Abbass H.A. (2012). Psychophysiological Evaluation of Task Complexity and Cognitive Performance in a Human Computer Interface Experiment. 19th International Conference on Neural Information Processing (ICONIP2012), LNCS7663, 600-607, Springer.

Conferences

Zhang B., Shafi K., and Abbass H.A. (2012). Density Based Multi-Objective Optimization for Smart Distribution Grid Design. Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.

Conferences

Wang B., Merrick K.E., Abbass H.A. (2012). Developing Attention Focus Metrics for Autonomous Hypotheses Generation in Data Mining. Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.

Conferences

Shafi K., Bender A., and Abbass H.A. (2012). Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem. Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.

Conferences

Vu C.C., Bui L.T., and Abbass H.A. (2012). DEAL: A Direction-guided Evolutionary Algorithm. Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.

Conferences

Wang K., Bui V., Petraki E., and Abbass H.A. (2012). From subjective to objective metrics for evolutionary story narration using event permutations. Ninth International Conference on Simulated Evolution and Learning (SEAL2012), LNCS, Springer.

Conferences

Alam S., Lokan C., and Abbass H.A. (2012). What can make an airspace unsafe? Characterizing collision risk using multi-objective optimization. IEEE Congress on Evolutionary Computation, Brisbane, Australia.

Conferences

Bui V., Bender A. and Abbass H.A. (2012). An Expressive GL-2 Grammar for Representing Story-like Scenarios. IEEE Congress on Evolutionary Computation, Brisbane, Australia.

Conferences

Tang J., Alam S., Lokan C. and Abbass H.A. (2012). A Multi-objective Evolutionary Method for Dynamic Airspace Re-sectorization using Sectors Clipping and Similarities. IEEE Congress on Evolutionary Computation, Brisbane, Australia.

Conferences

Xiong J., Shafi K. and Abbass H.A. (2012). Multi-Uncertainty Problems (MUP) with Applications to Managing Risk in Resource-Constrained Project Scheduling. IEEE Congress on Evolutionary Computation, Brisbane, Australia.

Conferences

Abbass H.A., W.M. Mount, D. Tucek and JP Pinheiro (2011). Towards a Code of Best Practice for Evaluating Air Traffic control Interfaces. Australian Transport Research Forum, Adelaide, Australia.

Conferences

Shafi K., Bender A., and Abbass H.A. (2011). Fleet Estimation for Defence Logistics Using a Multi-Objective Learning Classifier System. Genetic and Evolutionary Computation Conference, Dublin, Ireland, ACM Press.

Conferences

El-Fiqi H., Petraki E., and Abbass H.A. (2011). A Computational Linguistic Approach for the Identification of Translator Stylometry using Arabic-English Text. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Taiwan.

Conferences

Xiong J., Liu J., Chen Y., and Abbass H.A. (2011). An Evolutionary Multi-objective Scenario-Based Approach for Stochastic Resource Investment Project Scheduling. IEEE Congress on Evolutionary Computation (IEEE-CEC), New Orleans, USA.

Conferences

Bui L.T., Abbass H.A., Baker S., Barlow M., Bender A., and Saker R. (2011). Grid-Based Heuristic for Two-Dimensional Packing Problems. IEEE Congress on Evolutionary Computation (IEEE-CEC), New Orleans, USA.

Conferences

Ghoneim A., Essam D., and Abbass H.A. (2011). On Computations and Strategies for Real and Artificial Systems. European Conference on Artificial Life, Paris, August 8-12.

Conferences

Alam S., Zhao W., Tang J., Lokan C., Abbass H.A., Ellejmi M. and Kirby S. (2011). Discovering Delay Patterns in Arrival Traffic with Dynamic Continuous Descent Approaches using Co-Evolutionary Red Teaming. 9th USA/EUROPE Air Traffic Management Research & Development Seminar (ATM R&D Seminar), Berlin, Germany, June 2011. [Awarded Best Paper, Ground-Air Track]

Conferences

Ghoneim A., Essam D., and Abbass H.A. (2011). Competency Awareness in Strategic Decision Making. IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, Florida, USA, February, 2011.

Conferences

Leu G., Abbass H.A., and Curtis N. (2010). Resilience of ground transportation networks: A case study on Melbourne. Australian Transport Research Forum, Canberra, October.

Conferences

Purton L., Abbass H.A., and Alam S. (2010). Identification of ADS-B System Vulnerabilities and Threats. Australian Transport Research Forum, Canberra, October.

Conferences

Pham V., Bui L., Alam S., Lokan C. and Abbass H.A. (2010). A Pittsburgh Multi-Objective Classifier for User Preferred Trajectories and Flight Navigation. IEEE Congress on Evolutionary Computation, Barcelona, Spain.

Conferences

Shafi K., Bender A. and Abbass H.A. (2010). Evolutionary Dynamics of Interdependent Exogenous Risks. IEEE Congress on Evolutionary Computation, Barcelona, Spain.

Conferences

Boulden S., Iorio A. and Abbass H.A. (2010). Learning Synchronization Behaviours in Networked Complex Systems Using Genetic Algorithms. IEEE Congress on Evolutionary Computation, Barcelona, Spain

Conferences

Liu J., Zhong W., Abbass H.A. and Green D. (2010). Separated and Overlapping Community Detection in Complex Networks using Multiobjective Evolutionary Algorithms. IEEE Congress on Evolutionary Computation, Barcelona, Spain.

Conferences

Hossain M.M., Abbass H.A., Lokan C. and Alam S. (2010). Adversarial Evolution: Phase Transition in Non-uniform Hard Satisfiability Problems. IEEE Congress on Evolutionary Computation, Barcelona, Spain.

Conferences

Zhao W., Liu J., Abbass H.A. and Bender A. (2010). A Multi-objective Risk-Based Approach for Airlift Task Scheduling Using Stochastic Bin Packing. IEEE Congress on Evolutionary Computation, Barcelona, Spain.

Conferences

Bui V., Abbass H.A. and Bender A. (2010). Evolving Stories: Grammar Evolution for Automatic Plot Generation. IEEE Congress on Evolutionary Computation, Barcelona, Spain.

Conferences

Wang S.L., Shafi K., Lokan C. and Abbass H.A. (2010). Robustness of Neural Ensembles Against Targeted and Random Adversarial Learning. IEEE International Conference on Fuzzy Systems, Barcelona, Spain

Conferences

Wang K., Bui, V.Q. and Abbass, H.A. (2010). Evolving stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation. International Conference on Simulated Evolution and Learning (SEAL2010), Kanpur, India, 1-4 December.

Conferences

Alam S., Nguyen M.H., Abbass H.A., Lokan C., Ellejmi M., and Kirby S. (2010). A Dynamic Continuous Descent Approach Methodology for Low Noise and Emission. 29th IEEE/AIAA Digital Avionics Systems Conference, Salt Lake City, UT, USA, 3 Oct 2010. [Awarded Best Paper, Environment Track]

Conferences

Abbass H.A. and Petraki E. (2010). A pedagogical framework for succeeding in a cross-disciplinary PhD. International Higher Education Conference, Perth, Australia, November, 2010.

Conferences

Alam S., Lokan C.J., Abbass H.A., Ellejmi M., and S. Kirby (2010). An Evolutionary Computational Analysis of Tactical Controller Tool. Aviation Information Technology Engineering and Management Conference, New Orleans, Louisiana, USA, Mar 2010.

Conferences

Bui L.T., Wesolkowski S., Bender A., Abbass H.A. and Barlow M. (2009). A Dominance-based Stability Measure for Multi-Objective Evolutionary Algorithms. IEEE Congress on Evolutionary Computation (CEC), Norway.

Conferences

Bui V.Q., Bui L.T., Abbass H.A., Bender A. and Ray P. (2009). On the Role of Information Networks in Logistics: An Evolutionary Approach with Military Scenarios. IEEE Congress on Evolutionary Computation (CEC), Norway.

Conferences

Alam S., Tang J., Abbass H.A. and Lokan C.J. (2009). The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies. IEEE Congress on Evolutionary Computation (CEC), Norway.

Conferences

Chen K.Y., Lindsay P.A., Robinson P.J. and Abbass H.A. (2009). A Hierarchical Conflict Resolution Method for Multi-Agent Path Planning. IEEE Congress on Evolutionary Computation (CEC), Norway, 2009.

Conferences

Alam, S., Abbass, H.A., Lokan C.J. (2009). Computational Red Teaming to Investigate Failure Patterns in Medium Term Conflict Detection. 8th Eurocontrol Innovation Research Workshop and Conference, Eurocontrol Experiment Research Center, Paris, France.

Conferences

Abbass H.A., Bender A., Dam H., Baker S., Whitacre J. and Sarker R. (2008). , Computational Scenario-based Capability Planning. Genetic and Evolutionary Computation Conference (GECCO), Atlanta, Georgia, ACM Press.

Conferences

Whitacre J., Abbass H.A., Sarker R., Bender A. and Baker S. (2008). Strategic Positioning in Tactical Scenario Planning. Genetic and Evolutionary Computation Conference (GECCO), Atlanta, Georgia, ACM Press.

Conferences

Bui L.T., Whitacre J. and Abbass H.A. (2008). Performance Analysis of Elitism in Multi-objective Ant Colony Optimization Algorithms. IEEE Congress on Evolutionary Computation (CEC), Hong Kong.

Conferences

Barbosa B., Bui L.T., Abbass H.A., Aguirre L.A., and Braga A.P (2008). Evolving an Ensemble of Neural Networks using Artificial Immune Systems. LNCS, SEAL.

Conferences

Soliman O.S., Bui L. and Abbass H.A., (2007). The Effect of a Stochastic Step Length on the Performance of the Differential Evolution Algorithm. IEEE Congress on Evolutionary Computation (CEC), Singapore, 25-28 September.

Conferences

Shafi K., Abbass H. and Zhu W. (2007). Real Time Signature Extraction During Adaptive Rule Discovery Using UCS. IEEE Congress on Evolutionary Computation (CEC), Singapore, 25-28 September.

Conferences

Ghoneim A., Abbass H.A. and Barlow M. (2007). The Critical Point When Prisoners Meet the Minority: Local and Global Dynamics in Mixed Evolutionary Games. IEEE Congress on Evolutionary Computation (CEC), Singapore, 25-28 September.

Conferences

Ghoneim A., Abbass H.A. and Barlow M. (2007). Investigating Alliance Dynamics Using a Co-evolutionary Iterated Prisoners Dilemma with an Exit Option. IEEE Congress on Evolutionary Computation (CEC), Singapore, 25-28 September.

Conferences

Greenwood G. and Abbass H.A. (2007). A New Local Search Algorithm for Continuous Spaces Based on Army Ant Swarm Raids. IEEE Congress on Evolutionary Computation (CEC), Singapore, 25-28 September.

Conferences

Chen K.Y., Dam H., Lindsay P. and Abbass H.A. (2007). Biasing XCS with Domain Knowledge for Planning Flight Trajectories in a Moving Sector Free Flight Environment. IEEE Symposium on Artificial Life (IEEE-ALife), Honolulu, 1-4 April.

Conferences

Ghoneim A., Abbass H.A. and Barlow M. (2007). Rounds effect in evolutionary games. The 3rd Australian conference on Artificial Life (ACAL07), LNCS 4828, pp. 72-83, 2007.

Conferences

Alam S., Nguyen M.H., Abbass H.A. and Barlow M. (2007). Ants guide future pilots. The 3rd Australian conference on Artificial Life (ACAL07), LNCS 4828, pp. 36-48, 2007.

Conferences

Bui L.T., Soliman O. and Abbass H.A. (2007). A Modified Strategy for the Constriction Factor in Particle Swarm Optimization. The 3rd Australian conference on Artificial Life (ACAL07), LNAI 4828, 2007.

Conferences

Ghoneim A., Abbass H.A. and Barlow M. (2007). Information Sharing in the Iterated Prisoner Dilemma Game. IEEE Symposium on Computational Intelligence in Games (CIG), Honolulu, 1-4 April.

Conferences

Ziauddin U., Sarker R. and Abbass H.A. (2007). Improving the Performance of GA in CVRP using Self Imposed Constraints. IEEE Symposium on Computational Intelligence in Scheduling (CIS), Honolulu, 1-4 April.

Conferences

Barlow M., Yang A. and Abbass H.A. (2007). A Temporal Risk Assessment Framework for Planning A Future Force Structure. IEEE Symposium on Computational Intelligence in Defence and Security Applications (CIDSA), Honolulu, 1-4 April.

Conferences

Nguyen M.H., Alam S., Tang J., and Abbass H.A. (2007). Dynamic Weather Avoidance Trajectories in a Traffic Constrained Enroute Airspace. 6th Eurocontrol Innovative Research Workshop, 6th Eurocontrol Experimental Centre, France, Dec 4-6, 2007.

Conferences

Alam S., Shafi K., Abbass H.A., and Barlow M. (2007). Evolving Air Traffic Scenarios for the Evaluation of Conflict Detection Models. 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experimental Centre, France, Dec 4-6, 2007.

Conferences

Goh C.K., Quek H.Y., Tan K.C., and Abbass H.A. (2006). Modeling Civil Violence: An Evolutionary Multi-Agent. Game Theoretic Approach, The IEEE Congress on Evolutionary Computation (CEC2006), Vancouver, BC, Canada, IEEE-Press, 1624-1631.

Conferences

Shafi K., Abbass H.A., and Zhu W. (2006). The Role of Early Stopping and Population Size in XCS for Intrusion Detection. 6th International Conference on Simulated Evolution and Learning (SEAL06), LNCS 4247, Hefei, China pp. 50-57.

Conferences

Yang A., Abbass H.A., and Sarker R. (2006). Land Combat Scenario Planning: A Multiobjective Approach. 6th International Conference on Simulated Evolution and Learning (SEAL06), LNCS 4247, Hefei, China, pp. 837-844

Conferences

Alam S., Bui L.T., Abbass H.A., and Barlow M. (2006). Pareto Meta-Heuristics for Generating Safe Flight Trajectories Under Weather Hazards. 6th International Conference on Simulated Evolution and Learning (SEAL06), LNCS 4247, Hefei, China, pp. 829-836

Conferences

Bui L.T., Deb K., Abbass H.A., and Essam D., (2006). Dual Guidance in Evolutionary Multi-objective Optimization By Localization. 6th International Conference on Simulated Evolution and Learning (SEAL06), LNCS 4247, Hefei, China, pp. 384-391.

Conferences

Bui L.T., Juergen B. and Abbass H.A. (2005). Multiobjective optimization for dynamic environments. The IEEE Congress on Evolutionary Computation (CEC), Edinburgh, UK, 2005, Vol. 3, 2349- 2356.

Conferences

Dam H., Abbass H.A., and Lokan C. (2005). The Performance of the DXCS System on Continuous-Valued Inputs in Stationary and Dynamic Environments. The IEEE Congress on Evolutionary Computation (CEC), Edinburgh, UK, 2005, Vol.1, 618- 625.

Conferences

Bui L., Abbass H.A., and Essam D. (2005). Fitness inheritance for noisy evolutionary multi-objective optimization. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.

Conferences

Bui L., Branke J., and Abbass H.A. (2005). Diversity as a selection pressure in dynamic environments. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.

Conferences

Dam H., Abbass H.A., and Lokan C. (2005). DXCS: an XCS system for distributed data mining. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.

Conferences

McPartland M., Nolfi S., and Abbass H.A. (2005). Emergence of Communication in Competitive Multi-Agent Systems: A Pareto multi-objective approach. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.

Conferences

Sastry K., Abbass H.A., Goldberg D., and Johnson D.D. (2005). Sub-structural niching in estimation distribution algorithms. Genetic and Evolutionary Computation Conference (GECCO), Washington D.C., ACM Press.

Conferences

Yang A., Abbass H.A. and Sarker R. (2005). WISDOM-II: A Network Centric Model for Warfare. Ninth International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES 2005), Lecture Note Computer Science LNCS 3683, Melbourne, Australia, pp. 813-819.

Conferences

Abbass H.A., Barlow M., Essam D., and Yubin Y. (2005). Connecting the dots to disconnect them: A study into network evolution and dynamics for analyzing terrorist networks. The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Brisbane, Qld, 2005.

Conferences

Yang A., Abbass H.A., and Sarker R. (2005). Risk Assessment of Capability Requirements Using WISDOM-II. The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Brisbane, Qld, 2005.

Conferences

Dam H., Shafi K. and Abbass H.A. (2005). Can evolutionary computation handle large datasets? A study into network intrusion detection. The 18th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, LNAI 3809, Springe-Verlag, pp. 1092-1095.

Conferences

Dam H., Abbass H.A., and Lokan C. (2005). Be Real! XCS with Continuous-Valued Inputs. The Eighth International Workshop on Learning Classifier Systems (IWLCS-2005), Washington D.C., ACM Press, 2005.

Conferences

Yang A., Abbass H.A. and Sarker R. (2005). Evolving Agents for Network Centric Warfare. Second Workshop on Military and Security Applications of Evolutionary Computation, Washington D.C., ACM Press, 2005.

Conferences

Abbass H.A. (2004). An Inexpensive Cognitive Approach for Bi-Objective Optimization Using Bliss Points and Interaction. The 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), Birmingham, Lecture Notes in Computer Science LNCS 3242, Springer-Verlag, pp. 712-721.

Conferences

Shan Y., McKay R.I., Baxter R., Abbass H.A., Essam D.L., and Nguyen H X. (2004). Grammar Model-based Program Evolution. Proceedings of the Congress on Evolutionary Computation, Portland, Oregon, June.

Conferences

Hoai N.X., McKay R.I., Essam D.L. and Abbass H.A. (2004). Towards an Alternative Comparison between Genetic Programming Systems. The 7th European Conference on Genetic Programming (EUROGP), Lecture Notes in Computer Science, LNCS 3003, Springer-Verlag, pp. 67 -77.

Conferences

Sastry K., Abbass H.A. and Goldberg D. (2004). Sub-Structural Niching in Non-Stationary Environments. The 17th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, LNAI 3339, Springe-Verlag, pp. 873-885.

Conferences

Yang A., Abbass H.A. and Sarker R. (2004). Landscape Dynamics in Multi-agent Simulation Combat Systems. The 17th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, LNAI 3339, Springer-Verlag, 39-50.

Conferences

Teo J., Nguyen M.H. and Abbass H.A. (2003). Multi-Objectivity as a Tool for Constructing Hierarchical Complexity. The Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2003), Chicago, Lecture Notes in Computer Science LNCS2724, Springer-Verlag, 483-494, July.

Conferences

Teo J. and Abbass H.A. (2003). Is a Self-Adaptive Pareto Approach Beneficial for Controlling Embodied Virtual Robots?. The Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2003), Chicago, Lecture Notes in Computer Science LNCS2723, Springer-Verlag, 1612-1613, July.

Conferences

Abbass H.A. (2003). Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 3, pages 2074-2080, Australia.

Conferences

Abbass H.A., Bagirov A.M., and Zhang J. (2003). The Discrete Gradient Evolutionary Strategy Method for Global Optimization. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 1, pages 435-442, Australia.

Conferences

Teo J. and Abbass H.A. (2003). Elucidating the Benefits of a Self-Adaptive Pareto EMO Approach for Evolving Legged Locomotion in Artificial Creatures. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 2, pages 755-762, Australia.

Conferences

Shan Y., McKay R.I., Abbass H.A., and Essam D. (2003). Program Evolution with Explicit Learning. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 3, pages 1639-1646, Australia.

Conferences

Liu B., McKay R.I., and Abbass H.A. (2003). Improving Genetic Classifiers with a Boosting Algorithm. The IEEE Congress on Evolutionary Computation (CEC2003), IEEE-Press, Vol. 4, pages 2596-2602, Australia.

Conferences

Hoai N.X., McKay R.I., and Abbass H.A. (2003). Bias in Tree Adjoining Grammars. In Proceedings of the European Conference on Genetic Programming (EUROGP), Essex, Lecture Notes in Computer Science LNCS2610, Springer-Verlag, 335-344, January.

Conferences

Essam D. and Abbass H.A. (2003). Artificial Life Models for Security and Safety. The First Australian Conference on Artificial Life (ACAL2003), Canberra, ACT, Australia, pages 73-85, December 2003.

Conferences

Teo J. and Abbass H.A. (2003). Neuro-Morpho Evolution: What Will Happen If Our Body Is Not Symmetric?The First Australian Conference on Artificial Life (ACAL2003), Canberra, ACT, Australia, pages, 261-275, December 2003.

Conferences

Liu B., Abbass H.A., McKay B. (2003). Classification Rule Discovery with Ant Colony Optimization. The IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), Halifax, Canada.

Conferences

Sarker R. and Abbass H.A. (2003). Identification of Future ADF Vehicles and Trailer Fleets for project Overlander. Proceedings of the 2002 Mathematics-in-Industry Study Group, UniSA, Adelaide, Australia, pp. 35-52.

Conferences

Abbass H.A. (2003). Pareto Neuro-Ensemble. The 16th Australian Joint Conference on Artificial Intelligence (AI03), Perth, Lecture Notes in Artificial Intelligence LNAI 2903, Springer-Verlag, 554-566.

Conferences

Teo J. and Abbass H.A. (2003). Software Verification of Redundancy in Neuro-Evolutionary Robotics. The 16th Australian Joint Conference on Artificial Intelligence (AI03), Lecture Notes in Artificial Intelligence LNAI 2903, Springer-Verlag, 302-314.

Conferences

Abbass H.A. and Deb K. (2003). Searching under multi-evolutionary pressures. In Proceedings of the 2003 Evolutionary Multiobjective Optimization Conference (EMO03), Faro, Lecture Notes in Computer Science LNCS2632, Springer-Verlag, 391-404.

Conferences

Wang B.B., McKay R I., Abbass H.A. and Barlow M. (2003). A Comparative Study for Domain Ontology Guided Feature Extraction. In Proceedings of the Australian Computer Society Conference, Australia.

Conferences

Abbass H.A. (2002). Self-adaptive Pareto Differential Evolution. The IEEE Congress on Evolutionary Computation (CEC2002).

Conferences

Abbass H.A., Hoai N.X., and McKay R.I. (2002). AntTAG: A new method to compose computer programs using colonies of ants. The IEEE Congress on Evolutionary Computation (CEC2002).

Conferences

Teo J. and Abbass H.A. (2002). Multi-objectivity for brain-behavior evolution of a physically-embodied organism. In Standish, R., Bedau, M., and Abbass, H., editors, Artificial Life VIII: The 8th International Conference on Artificial Life, pages 312-318, Cambridge, MA. MIT Press, 2002.

Conferences

Teo J. and Abbass H.A. (2002). Coordination and synchronization of locomotion in a virtual robot. In Wang, L., Rajapakse, J., Fukushima, K., Lee, S., and Yao, X., editors, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP02), volume 4, pages 1931-1935, 2002.

Conferences

Teo J. and Abbass H.A. (2002). Trading-off mind complexity and locomotion in a physically simulated quadruped. In Wang, L., Tan, K., Furuhashi, T., Kim, J., and Yao, X., editors, Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL02), volume 2, pages 776-780, 2002.

Conferences

Abbass H.A. (2001). Marriage in Honey Bees Optimisation: A Haplometrosis Polygynous Swarming Approach. The IEEE Congress on Evolutionary Computation (CEC2001), Seoul, Korea.

Conferences

Abbass H.A., Sarkar R., and Newton C. (2001). A pareto differential evolution approach to vector optimisation problems. The IEEE Congress on Evolutionary Computation (CEC2001), Seoul, Korea.

Conferences

Abbass H.A. (2001). A Single Queen Single Worker Honey Bees Approach to 3-SAT. The Genetic and Evolutionary Computation Conference, GECCO2001, San Francisco, USA, 2001.

Conferences

Abbass H.A. (2001). A Memetic Pareto Evolutionary Approach to Artificial Neural Networks. The Australian Joint Conference on Artificial Intelligence, Adelaide, Lecture Notes in Artificial Intelligence LNAI 2256, Springer-Verlag, 1-12, December.

Conferences

Macrossan P.E., Abbass H.A., Mengersen K., Towsey M. and Finn G. (1999). Bayesian neural network learning for prediction in the Australian dairy industry. Intelligent Data Analysis, Amsterdam, Lecture Notes in Computer Science LNCS1642, Springer-Verlag, 395-406, August.

Conferences

Book Chapters

21 records

Abbass, H. A. (2020). An Introduction to Neuroergonomics: From Brains at Work to Human-Swarm Teaming. In Neuroergonomics. Chang S. Nam (Eds), 3-10, Springer, Cham, ISBN 978-3-030-34783-3.

Book Chapters

Yaxley, K. J., Joiner, K. F., Bogais, J., and Abbass, H. A. (2020). Life Learning of Smart Autonomous Systems for Meaningful Human‐Autonomy Teaming. A Framework of Human Systems Engineering: Applications and Case Studies. Holly Handley and Andreas Tolk (Eds), 43-61, Wiley-IEEE Press, ISBN: 978-1-119-69875-3.

Book Chapters

Wang M., Abbass H.A., and Hu J. (2018). EEG-based Biometrics for Person Identification and Continuous Authentication, In Information Security: Foundations, technologies and applications. Awad A.I. and Fairhurst M. (Eds), Institution of Engineering and Technology (IET) publisher, 2018. ISBN 978-1-84919-974-2

Book Chapters

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 F. Fernández de Vega and E. Cantú-Paz (Eds.): Parallel and Distributed Computational Intelligence, SCI 269, pp. 181-206. Springer-Verlag Berlin, Heidelberg 2010.

Book Chapters

Zhao, W, Tang, J, Alam, S, Bender, A, Abbass H.A. (2010) Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms, IFIP Advances in Information and Communication Technology, Vol 329/2010, 254-265, Springer.

Book Chapters

Bui L.T., Bender A., Barlow M., and Abbass H.A. (2010) Multiagent-Based Approach for Risk Analysis in Mission Capability Planning. In R. Sarker and R. Tapabrata (Eds): Agent-Based Evolutionary Search, Adaptation, Learning and Optimization Series, Vol 5, 77-96.

Book Chapters

Soliman O., Bui L.T., and Abbass H.A. (2009). A Memetic Coevolutionary Multi-Objective Differential Evolution Algorithm. In Multi-Objective Memetic Algorithms, C-K. Goh, Y-S. Ong, K.C. Tan (Eds). Springer, Studies in Computational Intelligence, Vol (171), Pages 369-388, ISBN 978-3-540-88050-9.

Book Chapters

Dam H.H., Rojanavasu P., Abbass H.A. and Lokan C. (2008). Distributed Learning Classifier Systems. In Learning Classifier Systems in Data Mining, Larry Bull and Ester Bernado-Mansilla and John H. Holmes (Eds), Springer, Studies in Computational Intelligence Series, Pages 69-91, Vol (125), ISBN 978-3-540-78978-9.

Book Chapters

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, Lam Thu Bui and Sameer Alam (Eds), chapter 11, pages 300-332, IGI Global Publications.

Book Chapters

Bui L.T., Nguyen M.H., Branke J., Abbass H.A. (2008) Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms. In Multiobjective Problem Solving from Nature: From Concepts to Applications, Joshua Knowles, David Corne, and Kalyanmoy Deb (Eds), Springer, Natural Computing Series, Pages 77-92, ISBN 978-3-540-72963-1.

Book Chapters

Dam H.H., Rojanavasu P., Abbass H.A. and Lokan C. (2007) Distributed learning classifier systems. In Learning Classifier Systems in Data Mining, Bull, L., Bernado Mansilla, E. & Holmes, J. (eds), Springer, In Press

Book Chapters

Bui L.T., Nguyen M.H., Branke J., and Abbass H.A., Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms. In Multiobjective Problem Solving from Nature: From Concepts to Applications, Joshua Knowles, David Corne, and Kalyanmoy Deb (Eds), Springer, pp. 77-92, December 2007.

Book Chapters

Dam H.H., Lokan C. and Abbass H.A. (2007) Evolutionary Online Data Mining: An Investigation in a Dynamic Environment. In Evolutionary Computation in Dynamic and Uncertain Environments, Shengxiang Yang, Yew-Soon Ong and Yaochu Jin Edition, Studies in Computational Intelligence Series, Springer, Volume 51/2007, pages 153- 178, ISBN 978-3-540-49772-1

Book Chapters

Baker S., Bender A., Abbass H.A., and Sarker R. (2007) A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities, In Evolutionary Scheduling, K. Dahal, K.C. Tan and P. Cowling (eds.), Studies in Computational Intelligence Series, Springer, Volume 49/2007, pages 485-512, ISBN 978-3-540- 48582-7.

Book Chapters

Shan Y., McKay R.I., Essam D.L. and Abbass H.A. (2006) A Survey of Probabilistic Model Building Genetic Programming, In Scalable Optimization via Probabilistic Modeling, Series: Studies in Computational Intelligence, Vol. 33 Pelikan M., Sastry K., and Cantú-Paz E. (Eds), Springer-Verlag, 121-160.

Book Chapters

Abbass H.A. (2005) Pareto-Optimal Approaches to Neuro-Ensemble Learning, In Multi-Objective Machine Learning, Series: Studies in Computational Intelligence, Jin, Yaochu (Ed), Springer-Verlag, 407-428.

Book Chapters

Kirley M., Abbass H., and McKay R. (2006) "Diversity Mechanisms in Pitt-Style Evolutionary Classifier Systems", In Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques, E. Triantaphyllou and G. Felici, Springer-Verlag, New York, NY, U.S.A., in its Massive Computing series, Vol. 6. ISBN 0-3873-4294-X, 433- 458.

Book Chapters

Teo J. and Abbass H.A. (2004) Evolutionary Multi-objective Robotics: Evolving Physically Simulated Quadruped using the Pareto-frontier Differential Evolution Algorithm, In Recent Advances in Simulated Evolution and Learning, K.C. Tan, M.H. Lim, X. Yao and L. Wang (Eds), World Scientific, ISBN 981-238-952-0, pp.466-485.

Book Chapters

Nguyen M.H., Abbass H.A. and McKay R. (2004) Diversity and Neuro-Ensemble, In Evolutionary Computing in Data Mining, A. Ghosh and L. Jain, Physica-Verlag, Germany.

Book Chapters

Abbass H.A., Towsey M., Kozan E., Van Der Werf J., and Diederich J. "A Markov Chain Tabu Search Approach to the evolutionary allocation problem". In Operations Research/ Management Science at Work: Applying Theory in the Area Pacific Region, E. Kozan and A. Ohuchi Eds, Kluwer Academic Publishers.

Book Chapters

Others

66 records

2020-Now Founding Editor-in-Chief, IEEE Transactions on Artificial Intelligence, IEEE

Editorship

2021-Now Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE

Editorship

2020-Now Associate Editor, ACM Computing Surveys, ACM

Editorship

2017-2019 Associate Editor, IEEE Transactions on Computational Social Systems, IEEE

Editorship

2016-Now Associate Editor, IEEE Transactions on Cybernetics, IEEE

Editorship

2016-Now Associate Editor, IEEE Transactions on Cognitive and Developmental Systems, IEEE

Editorship

2015-Now Associate Editor, Cognitive Computation, Springer

Editorship

2015-Now Associate Editor, Natural Computing, Springer

Editorship

2015-Now Editor, Complex & Intelligent Systems, Springer

Editorship

2013-2014 Editor, Applied Soft Computing, Elsevier

Editorship

2011-2014 Associate Editor, Journal of Industrial and Management Optimization, American Institute of Mathematical Sciences

Editorship

2010-Now Associate Editor, IEEE Transactions on Evolutionary Computation, IEEE

Editorship

2010-Now Associate Editor, International Journal of Artificial Life Research

Editorship

2010-2016 Associate Editor, IEEE Computational Intelligence Magazine, IEEE

Editorship

2007-Now Associate Editor, International Journal of Intelligent Computing and Cybernetics, Emerald

Editorship

2006-2010 Editorial Board, International Journal of Applied Systemic Studies (IJASS), Inderscience

Editorship

Invited 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 Talks

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 Talks

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 Talks

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 Talks

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 Talks

Invited Speaker: 1st International Workshop on Human Intelligent machIne cOexistane (HELIOS) , 9-10 January 2018, Singapore. Title: Trusted Autonomy in Closed Loop Human Machine Systems.

Invited Talks

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 Talks

Invited Speaker: Innovation Month, July 21, 2015, Canberra. Title: Welcome Mr and Mrs RoboGov.

Invited Talks

Invited Speaker: Emerging Disruptive Technologies Assessment Symposium (EDTAS), July 15-17, 2015, Canberra. Title: Trust in Humans and Machines.

Invited Talks

Invited Speaker: Research Forum Semi-autonomous systems: trust, control, and letting go, November 10-11, 2015, Defence Science Institute, The Beauty and the Beast of Trusted Autonomy.

Invited Talks

Invited Speaker: Emerging Disruptive Technologies Assessment Symposium: Trusted Autonomy, July 15-17, 2015, Defence Science and Technology Group, On Trust in Humans and Machines .

Invited Talks

Invited Speaker: Australasian Conference on Artificial Life and Computational Intelligence, February 5-7, 2015, Newcastle. Title: Cognitive-Cyber Symbiosis.

Invited Talks

Invited Speaker: The Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications , December, 14-17, 2014, Hanoi Vietnam, Computational Red Teaming for Cognitive-Cyber Symbiosis.

Invited Talks

Invited Speaker: The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, November, 10-12, 2014, Singapore, Real-time Computational Red Traming of Human Cognition using Encephalographic (EEG) Data.

Invited Talks

Invited Speaker: The Fourth International Neural Network Society Symposia Series , November, 7-9, 2014, Brunei, Next Generation Intelligent Systems: Observe-Project-Counteract Agent Architecture for Real-time Computational Red Teaming.

Invited Talks

Invited Lecture: Evolutionary Multi-objective Optimisation for Scenario Design and Real-time Optimisation, National University of Singapore, April 2014.

Invited Talks

Invited Seminar: Institute for Infocomm Research (I²R), Agency for Science, Technology and Research (A*STAR), March 25, 2014, Singapore, Computational Red Teaming for Integrating the Air Traffic Controller Brain and the Automation Cycle.

Invited Talks

Invited Seminar: Rolls-Royce, March 14, 2014, Singapore, Computational Red Teaming for Future Automation Systems.

Invited Talks

Invited Visiting Professor: A Course on Computational Red Teaming, National Defence Academy of Japan, October 2013

Invited Talks

Invited Speaker: The 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, IEEE SSCI 2013, April, 16-19, 2013, Singapore, Human Experiments in Computational Intelligence.

Invited Talks

Invited Speaker: The 47th Annual Conference on Statistics, Computer Sciences, and Operations Research, December, 24-27, 2012, Cairo University, Egypt, Role of Optimisation and Simulation in Intelligent Systems.

Invited Talks

Invited Speaker: The 1st International Conference on Robot Intelligence Technology and Applications, RiTA 2012, December 2012, Gwangju, Seoul, South Korea, Computational Red Teaming for Air Traffic Management.

Invited Talks

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 Talks

Invited Speaker: Networked Enabled Operations, NEO2012, June 2012, Canberra, Australia, Dancing with uncertainty in networked capabilities: How to manoeuvre in human, cyber and physical terrains.

Invited Talks

Invited Speaker: Australian Data Mining Conference, ADM 2011, December 2011, Victoria, Australia, Mining Big Data Streams: The Fallacy of Blind Correlation and the Importance of Models.

Invited Talks

Invited Speaker: Network Centric Operations, NCO Asia 2011, September 2011, Singapore, Network Based Planning And Computational Red Teaming.

Invited Talks

Invited Speaker: Doctoral Intensive Summer School on meta-heuristics in optimization and intelligent data analysis, 21-26 June, 2011, Alexandru Ioan Cuza, Romania.

Invited Talks

Invited Speaker: The IEEE World Congress on Computational Intelligence, WCCI 2010, 18-23 July 2010, Barcelona, Spain, Evolutionary Computation for Risk Assessment and Management.

Invited Talks

Invited speaker: the International Civil Aviation Organization (ICAO), Reduced Vertical Separation Minimum Safety, Bahrain, Feb 2010

Invited Talks

Invited Speaker: Network Centric Warfare, NCW 2010, 28-30 April 2010, Canberra, Australia, Outlining The Risk Assessment Of Networked Environments.

Invited Talks

Invited Speaker: Platform Technologies Research Institute Annual Symposium, PTRI 09, 14-15 July, 2009, Computational Red Teaming and Cyber Challenges.

Invited Talks

Invited Speaker: The IEEE Symposium: Computational Intelligence for Security and Defence Applications, CISDA 2009, 8-10 July 2009, Ottawa, Canada, Forward, Reverse and Emerging Dynamics: Can Complex Adaptive Systems Play a Game with the Unknown? .

Invited Talks

Invited Speaker: The 14th International Symposium on Artificial Life and Robotics, AROB 2009, 5-7 February 2009, Beppu, Oita, Japan, The Role of Non-Dominance in Artificial Life and Robotics.

Invited Talks

Invited Speaker: The 7th International Conference on Simulated Evolution and Learning, SEAL 2008, 7-10 December 2008, Melbourne, Australia, The Future of Intelligent Systems is Non-Dominance.

Invited Talks

Invited Speaker: The 12th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 7-8 December 2008, Melbourne, Australia, The Future of Intelligent Systems is Non-Dominance.

Invited Talks

Keynote: Operations Research in Australia: The Experts Speak, Canberra, Australia, 7-8 July, 2008, Structuring the strategic scenario planning process.

Invited Talks

Invited Speaker: 3rd International Nonlinear Science Conference, Chuo University, Tokyo, Japan, 13-15 March, 2008, Characterising and Understanding dynamics in reactive heterogeneous multi-agent systems.

Invited Talks

Invited Speaker at the Defence and Security track of Complex ’07, Gold Coast, Australia, Signatures of Game Dynamics for Intelligence and Information Operation.

Invited Talks

Invited Speaker at the International Seminar Series, Intelligent Robot Research Centre, Advanced Institute of Science and Technology (KAIST), Korea, November 2006. Recent Advances on Artificial Life and Adaptive Robotics.

Invited Talks

Invited Speaker at the 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 6-7 Dec 2004, Cairns, Australia. The lone thinker of Celigny in learning and agent systems.

Invited Talks

Department of Veterans' Affairs, Australia, Data Mining, 21/10/2003.

Invited Talks

DPI, Australia, 20/09/1998. Introducing Neural Networks for the Dairy Industry, a talk was given in The Dept. of Primary Industries, Workshop for extensions, Sunshine Coast.

Invited Talks

Grants

Research grants preserved from the original Grants category.

Group of Eight Australia - Germany Joint Research Co-operation Scheme (2013-2014), Maximum entropy analysis of flow, transport, chemical reaction & human networks, (UNSW Australia team) Niven, R., Abbass, H. and Shafi, K., (Potsdam University Germany Team) Abel, M., Michael, S. and Kolski, P., $20K.

Grants

ARC LIEF (2011), Flexible architecture high-performance computing facility for the intersect consortium of New South Wales, one of 29 CIs, $500K.

Grants

ARC Linkage (2011-2013), New real-time risk indicators to improve the efficiency, environmental impact and safety of air traffic management, H.A. Abbass, C.J Lokan, G.K Aldis (PI), G.P Dunstone (PI), and R.C Butcher (PI), $315K.

Grants

ARC Discovery (2009-2011), Dual Phase Evolution in Networks, D. Green and H.A. Abbass, $360K.

Grants

ARC LIEF (2009), A high performance computing cluster and storage for the INTERSECT Consortium of NSW, one of 24 CIs, $500K.

Grants

Eurocontrol Experimental Centre (2008-2013), Using military scenarios to assess risk in civil Air Traffic Management scenarios, H.A. Abbass, M. Copland, S. Burdiken, M. Harb and C. Lokan, Euro 167K.

Grants

ARC Discovery (2006-2008), Defence and Security Risk Assessment using Agent Based Distillations, M. Barlow and H.A. Abbass, $306K.

Grants

ARC Linkage International (2005), Ensembles of Collaborative Neural Networks, H.A. Abbass and X. Yao, $15K.

Grants

ARC Networks (2004-2008), Research Network for a Secure Australia (RNSA), one of 50 CIs, $1,500K.

Grants

ARC Networks (2004-2008), Complex Open Systems Network (COSNet) , one of 50 CIs, $1,500K.

Grants

ARC Linkage (2004-2006), Scenario Driven Management in a Network Environment, D. Jarrat, T. Bossomaier, and H.A. Abbass, $513K.

Grants

ARC Centre (2003-2008), The ARC Centre for Complex Systems (ACCS) , one of 13 CIs, $5,250K.

Grants

ARC Network Seed Funding (2003), Australian Network on Security Technology Integration, one of 20 CIs, $20K.

Grants

Research Team

Team

Current and Alumni Research Students and Staff

Current Research Fellows

Current Research Students

Alumni Research Students

Alumni research students are organised below by thesis status and degree category.

Dr. Kuang-Yuan (Steven) Chen: A Methodology for Training XCS Agents to Optimise Team and Individual Performance on Path Planning Problems

PT | Ph.D. | 2005-2011

Dr. Paula Lennon: DNA costing, UNE

FT | Ph.D. | 2001-2004

Leon Purton: ADS-B Aircraft Trajectory Tracking in the Presence of Spoofing

FT | Honor Thesis | 2009-2009

Under Examination

PhD Theses

DIT Theses

MSc Theses

CDF Honour Theses

Alumni Research Fellows

Dr. Aya Hussein: Research Associate, Machine Education

FT | 2020-2023

Dr. Jing Liu: Research Associate, Context Aware Swarm

FT | 2022-2023

Dr. Tung Nguyen: Research Associate, Context Aware Swarm

FT | 2022-2023

Dr. Essam Debie: Research Fellow, Contextually-aware Swarm Guidance

FT | 2017-2021

Dr. Heba El-Fiki: Research Fellow, Contextually-aware Swarm Guidance

FT | 2017-2021

Dr. Mohammed Hossny: Senior Data Science Fellow, Data Science and AI Project

FT | 2021-2021

Ms. Josephine Plested: Research Associate, Data Science and AI Project

FT | 2021-2021

Dr. Min Wang: Research Associate, User-task co-adaptation for effective interactive simulation environments

FT | 2019-2021

Dr. John Warmenhoven: Research Fellow, Data Science and AI Project

FT | 2021-2021

Dr. Raul Fernandez Rojas: Research Associate, Human Performance

FT | 2018-2019

Dr. Jiangjun Tang: Research Associate, Human Performance

FT | 2014-2018

Dr. Tauseef Gulrez: Research Associate, User-task co-adaptation for effective interactive simulation environments

FT | 2016-2017

Dr. George Leu: Research Associate, Computational Red Teaming

FT | 2014-2017

Dr. Ayman Ghoneim: Research Associate, Risk Assessment for Air Traffic Management

FT | 2013-2014

Mr. William Zhao: Research Associate, Air Traffic Management

FT | 2013-2014

Mr. Rubai Amin: Research Associate, Air Traffic Management

FT | 2012-2013

Dr. Deborah Tucek: Senior Research Associate, Linguistics

FT | 2011-2013

Dr. Murray Mount: Senior Research Associate, Neuro-science

FT | 2011-2013

Dr. Sameer Alam: Senior Research Associate, Air Traffic Management

FT | 2007-2012

Dr. Vinh Quang Bui: Research Associate, Computational Storytelling

FT | 2008-2012

Mr. Fan Qi: Software Developer, Computational Modelling

FT | 2005-2012

Dr. Kamran Shafi: Senior Research Associate, Defence Logistics

FT | 2008-2012

Ms. Irina Coleman: Research Associate, Psychology

FT | 2011-2011

Prof. Jing Lui: Research Associate, Networks and Complexity

FT | 2009-2011

Dr. Weicai Zhong: Research Associate, Game Theory

FT | 2009-2010

Mr. Ahmed Darwish: Software Developer, Computational Modelling

FT | 2009-2010

Dr. Antony Iorio: Research Associate, Risk Attitude of Strategic Decision Makers

FT | 2009-2010

Dr. James Whiteacre: Research Associate, Complex Systems and Defence Logistics

FT | 2007-2009

Dr. Lam Bui: Research Associate, Evolutionary Risk Management

FT | 2007-2009

Dr. Minh Ha Nguyen: Research Associate, Complex Systems for Air Traffic Management

FT | 2006-2007

Dr. Ang Yang: Research Associate, Defence and Security Risk Assessment

FT | 2006-2007

Mr. Paul McCarthy: Software Developer, Computational Modelling

FT | 2006-2007

Dr. Yubin Yang: Research Associate, Network Mining

FT | 2005-2006

Dr. Yin Shan: Research Associate, Defence Logistics

FT | 2005-2006

Teaching History

Teaching

Teaching History at UNSW-Canberra.

Teaching History at UNSW-Canberra

Structured teaching history supplied by Professor Hussein Abbass.

Simulation

2017 | S2 | On-campus | Convening

Computational Problem Solving

2017 | S1 | On-campus | Convening + joint teaching

Capability Options Analysis UG

2017 | S2 | On-campus | Convening

Simulation

2016 | S2 | On-campus | Convening

Computational Problem Solving

2016 | S1 | On-campus | Convening + joint teaching

Simulation

2015 | S2 | On-campus | Convening + joint teaching

Computational Problem Solving

2015 | S1 | On-campus | Convening + joint teaching

Capability Options Analysis UG

2015 | S1 | On-campus | Convening + teaching

Quantitative Operations Research UG

2013 | S1 | On-campus | Convening + teaching

Quantitative Operations Research PG

2013 | S1 | Distance | Convening + teaching

Strategic Decision Making UG

2012 | S2 | On-campus | Convening + teaching

Strategic Decision Making PG

2012 | S2 | Distance | Convening + teaching

Capability Options Analysis

2012 | S1 | Intensive External M | Convening + teaching

Capability Options Analysis

2012 | S1 | Intensive External S | Convening + teaching

Capability Options Analysis

2012 | S1 | Intensive | Convening + teaching

Capability Options Analysis UG

2011 | S1 | On-campus | Convening + teaching

Capability Options Analysis PG

2011 | S1 | Distance | Convening + teaching

Strategic Decision Making UG

2010 | S2 | On-campus | Convening + teaching

Strategic Decision Making PG

2010 | S2 | Distance | Convening + teaching

Capability Options Analysis UG

2010 | S1 | On-campus | Convening + teaching

Capability Options Analysis PG

2010 | S1 | Intensive External M | Convening + teaching

Capability Options Analysis PG

2010 | S1 | Distance | Convening + teaching

Capability Options Analysis UG

2009 | S2 | On-campus | Convening + teaching

Capability Options Analysis PG

2009 | S2 | On-campus & Distance | Convening + teaching

Strategic Decision Making UG

2009 | S1 | On-campus | Convening + teaching

Strategic Decision Making PG

2009 | S1 | On-campus & Distance | Convening + teaching

Decision Analysis

2008 | S2 | On-campus | Convening + teaching

Management Science for Engineering

2008 | S1 | On-campus | Convening + teaching

Decision Analysis

2007 | S2 | On-campus | Convening + teaching

Management Science for Engineering

2007 | S1 | On-campus | Convening + teaching

Knowledge Based Systems

2006 | S2 | On-campus | Joint teaching

Soft Computing

2006 | S2 | On-campus | Joint teaching

Management Science for Engineering

2006 | S1 | On-campus | Convening + teaching

Management Science for Engineering

2005 | S2 | On-campus | Convening + teaching

Modern Heuristic Techniques

2005 | S1 | On-campus | Convening + teaching

Decision Analysis

2005 | S1 | On-campus | Convening + teaching

Knowledge Discovery in Databases

2004 | S2 | On-campus | Convening + teaching

Management Science for Engineering

2004 | S2 | On-campus | Convening + teaching

Data Mining

2003 | S2 | On-campus | Convening + teaching

Optimization Techniques

2003 | S2 | On-campus | Convening + teaching

Modern Heuristic Techniques

2003 | S1 | On-campus | Convening + teaching

Knowledge Discovery in Databases

2002 | S2 | On-campus | Convening + teaching

Optimization Techniques

2002 | S2 | On-campus | Convening + teaching

Modern Heuristic Techniques

2002 | S1 | On-campus | Convening + teaching

Optimisation Techniques

2001 | S2 | On-campus | Convening + teaching

Data Mining

2001 | S2 | On-campus | Convening + teaching

Programming Fundamentals (JAVA)

2001 | S2 | On-campus | Tutorial

Modern Heuristic Technique2

2001 | S1 | On-campus | Convening + teaching

Management Science for Engineering

2000 | S2 | On-campus | Convening + teaching

Management Science

2000 | S2 | On-campus | Tutorial

Information Systems Principles

2000 | S2 | On-campus | Labs

Modern Heuristic Technique2

2000 | S1 | On-campus | Convening + teaching

University, Australian, and International Service

Services

Service records preserved from the original Services page with source categories and dates intact

Services to University

Jul - 2021 to Aug - 2022, Acting Deputy Head of School - People

Services to University

Jan - 2017 to Dec - 2018, Elected Member - UNSW Academic Board

Services to University

Apr - 2015 to Apr - 2018, Human Research Ethics Advisory Panel - HREA Panel A: UNSW Canberra

Services to University

Jan - 2015 to Dec - 2018, Elected Member - UNSW-Canberra Board

Services to University

Mar - 2006 to Dec - 2010, Director of the Defence and Security Applications Research Centre

Services to University

2008, UNSW-Canberra Professorial Promotion Committee

Services to University

2005, UNSW-Canberra Senior Lecturer Promotion Committee

Services to University

2004 - 2010, School research committee

Services to University

2004 - 2010 School IT user group

Services to University

2003 - 2010, UNSW-Canberra research committee

Services to University

2003 - 2010 School PG committee

Services to University

2003, HOS advisory committee

Services to University

2003 School PG research coordinator

Services to University

2000 - 2004, School seminar coordinator

Services to University

Services to the Australian Community

National President (2016-2019), Australian Society for Operations Research (ASOR)

Services to the Australian Community

Academic Board Member (2012-Now), Australian Graduate School of Leadership, Sydney, Australia

Services to the Australian Community

ARC College, EMI, (2013-2015): Australian Research Council, Engineering, Mathematics, and Information Cluster

Services to the Australian Community

REC Member (2010): Australian Research Council, Mathematics, Information and Communication, Excellence of Research Australia

Services to the Australian Community

Expert Sub-committee Member (2008): National Collaborative Research infrastructure strategy (NCRIS) expert sub-committee on Safeguarding Australia

Services to the Australian Community

Expert Member (2008): Review Panel for DSTO Long Range Research (LRR) program, Australia

Services to the Australian Community

Member (2007-2009): Computing Research and Education Association of Australasia (CORE) Journal and Conference Ranking Committee, Australia

Services to the Australian Community

Services to the International Community

Founding Editor-in-Chief (2020-2024), IEEE Transactions on Artificial Intelligence

Services to the International Community

Vice-President for Technical Activities (2016-2019): The IEEE Computational Intelligence Society

Services to the International Community

Member (2014-2017): The IEEE Computational Intelligence Society, Awards Committee

Services to the International Community

Member (2014-2015): The IEEE Computational Intelligence Society, Distinguished Lecturer Committee

Services to the International Community

Member (2010-2015): The Air Traffic Control Association (ATCA) Publication Committee

Services to the International Community

Member (2014): The IEEE Computational Intelligence Society, Nomination Committee

Services to the International Community

Member (2014): The IEEE Computational Intelligence Society, Best Paper in CIM Sub-Committee

Services to the International Community

Member (2012-2013): The IEEE Computational Intelligence Society, Pioneer Award Sub-Committee

Services to the International Community

Member (2010-2011): The IEEE Computational Intelligence Society, Outstanding Organization Award Sub-Committee

Services to the International Community

Chair (2013-2014) of the Emerging Technologies Technical Committee, IEEE Computational Intelligence Society

Services to the International Community

Member (2012-2014), Industrial Systems Technical Committee, IEEE Computational Intelligence Society

Services to the International Community

Founding Chair (2003-2011): The IEEE-NN-EC Task Force on Artificial Life and Complex Adaptive Systems

Services to the International Community

Member (2007-2016), Data Mining Technical Committee, IEEE Computational Intelligence Society

Services to the International Community

Member (2005-2016), Evolutionary Computation Technical Committee, IEEE Computational Intelligence Society

Services to the International Community

In The Media

Media

Media items preserved from the original Home page media list, including original dates and links.

In The Media

Original media appearances and linked coverage.

The Human Rights Commission Report on Human Rights and Technology Issues Paper, An Interview with 2CC Radio, Canberra, 2-August-2018

In The Media

Profiles and Links

Contact

Profile, bibliometrics, and contact pathways preserved from the original Home page.

Bibliometrics

Citation and profile links.