University of New South Wales
IEEE Computational Intelligence Magazine
Special Issue on Computational Intelligence for Brain Computer Interfaces
http://www.husseinabbass.net/ieeecimbci2016.html
**The University of New South Wales, School of Engineering and Information Technology, Canberra, ACT 2600, Australia.
**Institute for Infocomm Research (I2R), 1 Fusionopolis Way, Fusionopolis, 138632, Singapore.
***National University of Singapore, Department of Electrical and Computer Engineering, 4 Engineering Drive, 117583, Singapore.
Brain Computer Interfaces (BCI) aims at establishing a one or two-way communication protocol between the human brain and an electronic device. The research umbrella of BCI has different names and overlaps with different research areas that evolved under the wider objective of connecting human data to an electronic device of some sort. Some of these areas include: adaptive automation, augmented cognition, brain-machine interface, human-machine symbiosis, and human-computer symbiosis.
The last decade has witnessed a rise in the number of researchers working on BCI. With the advances of sensor technologies, efficient signal processing algorithms, and parallel computing, it was possible to finally realize the dream of many researchers who talked about the concept in one form or another in the sixties and seventies including J.C.R. Licklider, R.B. Rouse, and others. Different sensor and measurement technologies are evolving rapidly from the classical functional magnetic resonance imaging (fMRI), functional near infrared (fNIR), Electroencephalography (EEG), to complex integrated psycho-physiological sensor arrays.
Researchers in Computational Intelligence have been better situated than ever to extract knowledge from these signals, transform it to actionable decisions, and designing the intelligent machine that has long been promised and is now overdue. Success has been seen in many medical applications including assisting people on wheelchairs, stroke rehabilitation, and epileptic seizures. In the non-medical domain, BCI has been used for computer games, authentication in cyber security, and air traffic control.
This special issue aims at showcasing the most exciting and recent advances in BCI and related topics. The guest editors invite submissions of previously unpublished, recent and exciting research on BCI. The special issue welcomes survey, position, and research papers
The maximum length for the manuscript is typically 25 pages in single column format with double-spacing, including figures and references. Authors should specify on the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Submission should be made via https://www.easychair.org/conferences/?conf=ieeecimbci2016
Hussein Abbass is a Professor with the University of New South Wales (UNSW-Australia), Canberra Campus, Australia. Prof. Abbass is a fellow of the UK Operational Research Society and a fellow of the Australian Computer Society. He is an Associate Editor of six international journals, including the IEEE Transactions on Evolutionary Computation, and the IEEE Computational Intelligence Magazine. He has been serving as the Chair of the Emerging Technologies Technical Committee of the IEEE Computational Intelligence Society (IEEE-CIS) for 2 years and has served on many different committees within IEEE-CIS. Prof. Abbass is currently a College Member of the Australian Research Council (ARC) Engineering, Mathematics, and Information Cluster. He was a member of the Research Evaluation Committee of Excellence of Research Australia in 2010. He spent his sabbatical in 2005 at the University of Illinois – Urbana Champaign spending, and was a UNSW John-Yu Fellow at Imperial College London in 2003. He published 200+ refereed papers. His current research interest is in computational red teaming and integrating human brain data with advanced analytics and automation.
Dr. Guan Cuntai is currently Principal Scientist and Department Head at the Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore. He is the A*STAR MedTech Programme Leader of Neuro-Technology. He is an adjunct staff in the School of Computer Engineering, NTU, Singapore, since 2008. He received his PhD degree in electrical and electronic engineering from Southeast University in 1993. His career began with research and development on speech recognition, text-to-speech, and spoken dialogue technologies. He was a lecturer, visiting scientist and researcher at Southeast University, CRIN/CNRS–INRIA, City University of Hong Kong, and Kent Ridge Digital Laboratories, from 1994-1998. He then spent 5 years in industry (Lernout and Hauspie, InfoTalk Technology), as a Research Manager and the R&D Director. Since 2003, he founded and directed the Brain-computer Interface (BCI) Laboratory at the Institute for Infocomm Research (http://nsp.i2r.a-star.edu.sg/). From 2007 to 2012, he founded and directed two research programs on medical and healthcare technology at the Institute for Infocomm Research. Since 2012, he founded and directed a research department, Neural & Biomedical Technology Department at the Institute for Infocomm Research, focusing on brain-computer interfaces, neural and biomedical signal processing and sensing, neural and biomedical image processing. His research interests include neural and biomedical signal processing, machine learning and pattern recognition, neural and cognitive process and its clinical applications, brain computer interface algorithms, systems and applications, statistical signal processing, neural image processing, medical system and device research and development. He is the recipient of Annual BCI Research Award, IES Prestigious Engineering Achievement Award, Achiever of the Year (Research) Award, etc. He published over 200 refereed journal and conference papers and holds 14 granted patents and applications. He licensed 7 patents to US and Singapore based companies. He secured over $12.5M research grant as principal investigator and co-investigator in the past 5 years. He delivered over 45 keynote speech and invited talks. He is an Associate Editor of IEEE Transactions on Biomedical Engineering, IEEE Access (life sciences and biomedical engineering), Australasian Medical Journal, Frontiers in Neuroprosthetics, Journal of Brain Computer Interfaces, A*STAR Research Publication.
Kay Chen Tan is currently an Associate Professor in the Department of Electrical and Computer Engineering, National University of Singapore. He has published over 100 journal papers, over 100 papers in conference proceedings, co-authored 5 books. Dr Tan has been an Invited Keynote/Plenary speaker for over 40 international conferences. He is the General Co-Chair for the 2016 IEEE World Congress on Computational Intelligence to be held in Vancouver, Canada. Dr Tan is an elected member of AdCom (2014-2016) and was an IEEE Distinguished Lecturer of IEEE Computational Intelligence Society from 2011-2013. Dr Tan is the Editor-in-Chief of IEEE Transactions on Evolutionary Computation beginning in 2015. He was the Editor-in-Chief of IEEE Computational Intelligence Magazine from 2010-2013. He currently serves as an Associate Editor / Editorial Board member of over 20 international journals, such as IEEE Transactions on Cybernetics, IEEE Transactions on Computational Intelligence and AI in Games, Evolutionary Computation (MIT Press) etc. Dr Tan is a Fellow of IEEE. He is the awardee of the 2012 IEEE Computational Intelligence Society (CIS) Outstanding Early Career Award and the recipient of the Recognition Award (2008) from the International Network for Engineering Education & Research (iNEER).