Areas of Expertise: Brain Science, Brain Informatics, Cognitive Informatics, Neuroinformatics, Neurocomputing, Denotational Mathematics, Cognitive Robotics, Computational Intelligence
Brief Introduction: My research interests are in brain science, brain informatics, cognitive informatics, neuroinformatics, neurocomputing, denotational mathematics, cognitive robotics, and computational intelligence. My lab is developing a coherent mathematical model of the brain at the neuron, physiological, cognitive, and logical levels from the bottom up. Some current results are such as the Layered Reference Model of the Brain (LRMB), the Abstract Intelligent Model of the Brain (AIMB) mapping onto brain's physiological structures, the Neural Circuit Theory, the Memory Model of the Brain (MMB), and the mathematical model of consciousness. Latest findings in these areas have been applied in neural and cognitive science, clinical studies, cognitive informatics, and computational intelligence. The studies result in novel technologies initiated in my lab such as cognitive robotics, cognitive computers, cognitive knowledge bases, the machine learning engine, and the estimation of human memory capacity.
I am the founding Editor-in-Chief of Int. Journal of Cognitive Informatics & Natural Intelligence (IJCINI), founding Editor-in-Chief of Int. Journal of Software Science & Computational Intelligence (IJSSCI), Associate Editor of IEEE Trans. on SMC (Systems), and Editor-in-Chief of Journal of Advanced Mathematics & Applications (JAMA). I've served as general chairs/program chairs/keynote speakers in more than 20 international conferences.

Areas of Expertise: Machine Learning, Computer Vision, Intelligent Systems, Signal Processing
Brief Introduction: Prof. Huiyu Zhou heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was Director of MSc Programme (2018-19) and Coordinator of MSc Distance Learning at Informatics (2018-2022), and is PGR Director and Deputy Director of Research Centre for Artificial Intelligence, Data Analytics and Modelling (AIDAM). Prior to this appointment, he worked as Reader (1/2018-3/2020) at University of Leicester, and Lecturer (9/2012-12/2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He was a visiting scholar of QUB during 2018-2020.
Prof. Zhou has published widely in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA2020 Best Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize".

Prof. Zhou has been an external examiner for under- and post-graduates/PhD candidates from universities of UK (e.g. Imperial, Manchester, QMUL, Surrey, Reading, Essex, Ulster and Brunel), Hong Kong (e.g. HKU and PolyU), Australia (UNSW Sydney), India (e.g. Anna and Andhra) and China (e.g. SHU and XJTLU), and Digital Design and Branding MSc of Brunel University London (2018-19).

Areas of Expertise: Entertainment Computing, Culture, Cognitive Systems, Human-Computer Interaction, Design Science
Brief Introduction: Matthias Rauterberg is Full Professor of Designing Interactive Systems. He is co-founder of the Industrial Design department and Data Science Center at Eindhoven University of Technology (TU/e) and also of the Technical Committee (TC) of Entertainment Computing of the International Federation for Information Processing (IFIP). Rauterberg is interested in designing interactive systems to address the cultural sub- or even unconscious layer of the user. He has a solid background in philosophy, psychology and computer science. He is in favor of a rigorous empirical validation of his design claims. His recent research is in the area of entertainment computing, cognitive systems, human-computer interaction, and design science. As a prolific author, Rauterberg has over 450 publications in international journals, conference proceedings, books, and more. He is also editor and member of the editorial board of several leading international journals. He is co-editor in chief of the Entertainment Computing journal (Elsevier). Rauterberg has been and still is member of many national and international review boards (i.e. national science foundations, European Research Council, etc.). He supervised more than 20 PhDs, 20% of which got a distinction (top-5%).

Areas of Expertise: Multi-Agent Systems, Discrete-Event System Theory, Model-Based Fault Diagnosis, Cyber Security Analysis and Synthesis, Control and Optimization of Complex Networks with Applications in Flexible Manufacturing, Intelligent Transportation, Human-Robot Interface, Power Management and Green Buildings
Brief Introduction: Dr Rong Su obtained his Bachelor of Engineering degree from University of Science and Technology of China, and Master of Applied Science degree and PhD degree from University of Toronto, respectively. He was affiliated with University of Waterloo and Technical University of Eindhoven before he joined Nanyang Technological University in 2010. Dr Su's research interests include multi-agent systems, discrete-event system theory, model-based fault diagnosis, cyber security analysis and synthesis, control and optimization of complex networks with applications in flexible manufacturing, intelligent transportation, human-robot interface, power management and green buildings. In the aforementioned areas he has more than 270 journal and conference publications, 1 monograph, 16 granted/filed patents. Dr Su is a senior member of IEEE, and an associate editor for IEEE Transactions on Cybernetics, Automatica (IFAC), Journal of Discrete Event Dynamic Systems, and Journal of Control and Decision. He was the Chair of the Technical Committee on Smart Cities in the IEEE Control Systems Society in 2016-2019. Currently, he is a co-chair of Technical Committee on Automation in Logistics in the IEEE Robotics and Automation Society, and chair of the Control Systems Chapter, Singapore. Dr. Su is the recipient of 2021 Hsue-shen Tsien Paper Award from IEEE/CAA Journal of Automatica Sinica and Best Paper Award in 15th International Conference on Advanced Systems in Public Transport (CASPT 2022), a Distinguished Lecturer for 2020 Chinese Conference on Decision and Control (CCDC'20) and an IEEE Distinguished Lecturer for IEEE Robotics and Automation Society.

Areas of Expertise: Pervasive and Mobile Computing, Crowdsensing, Digital Health, Internet of Things, Smart Cities, Ubiquitous computing, Mobile crowdsensing/crowdsroucing
Brief Introduction: Jiangtao is currently a tenured Associate Professor with the Centre for Intelligent Healthcare, at Coventry University, and he has won the prestigious Engineering and Physical Sciences Research Council’s (EPSRC) New Investigator Award in 2021. Before Joining Coventry in 2020, he was a lecturer at Lancaster University and Peking University from 2017 to 2020, respectively. His research interests include Pervasive and Mobile Computing, Crowd Sensing, Digital Health, the Internet of Things, and Smart Cities. Jiangtao has developed a strong international reputation for his research on Crowd Sensing (Crowdsourcing) systems, specifically within the domains of cost and quality joint optimization. He is among the pioneering researchers who introduce novel mechanisms to optimize sensing quality and cost in task allocation – a fundamental research issue and a maker or breaker in crowd sensing. With several novel research perspectives, Jiangtao has achieved a number of top conference and journal publications (e.g, UbiComp, PerCom, CSCW, AAAI, IJCAI, KDD, ICDM, IEEE TMC, IEEE Computer, ACM Health, and so forth). The results have been validated extensively using real-world data showing superior performance. These works are highly cited and recognized as evidenced by distinguished talk invitations from prestigious universities such as Nanyang Technological University (Singapore), the National University of Singapore, and the University of New South Wales (Australia). As the key author of these works has been invited to organize and chair three IEEE international workshops on Crowdsensing. Jiangtao also serves on journal editorial boards such as Personal and Ubiquitous Computing, Frontiers in Sustainable Cities etc. and PC member of multiple international conferences.

Areas of Expertise: Fuzzy Mathematics, Computational Intelligence, Artificial Intelligence, Machine Learning
Brief Introduction: Dr. Ganeshsree Selvachandran is a Professor in the Institute of Actuarial Science and Data Analytics (IASDA) at UCSI University, Kuala Lumpur, Malaysia. She received the BSc. (Hons), MSc. and PhD degrees in Mathematics (specializing in Pure Mathematics) from the National University of Malaysia (UKM) in 2009, 2010 and 2013, respectively. She is a professional technologist in the technology field of Information and Computing Technology certified by the Malaysian Board of Technologists (MBOT). She is a prolific researcher in the areas of fuzzy mathematics, computational intelligence, artificial intelligence, and machine learning and have thus far authored more than 80 research articles and conference papers in these areas. In 2019, she was ranked no. 6 in the World Top Authors in the areas of fuzzy sets, fuzzy systems and complex fuzzy by Scopus, Elsevier. To date, she has successfully obtained seven research grants totaling more than MYR880,000 – four Fundamental Research Grant Scheme (FRGS) grants from the Ministry of Higher Education, Malaysia, 1 industry grant from MTSFB, 1 professorial chair grant from the investment arm of the Malaysian government, Permodalan Nasional Berhad (PNB), and one Pioneer Scientist Incentive Fund (PSIF) from UCSI University, Malaysia. She has also received 64 internal, national and international awards in recognition of her excellence in research and academics. She currently serves as the editor of three international journals including the prestigious Engineering Applications of Artificial Intelligence (EAAI), Elsevier, and is an active reviewer for more than 30 international journals listed in the Web of Science and Scopus. She has also served as a member of the scientific review committee for several local and international conferences.