Prof. Marimuthu Palaniswami
Bio.: Marimuthu Palaniswami is a Fellow of IEEE and a distinguished lecturer of the IEEE Computational Intelligence Society. He received his Ph.D. from the University of Newcastle, Australia before joining the University of Melbourne, where he is a Professor of Electrical Engineering and Director/Convener of a large ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) with about 100 researchers on various interdisciplinary projects. Previously, he was a Co-Director of Centre of Expertise on Networked Decision & Sensor Systems. He served in various international boards and advisory committees including a panel member for National Science Foundation (NSF). He has published more than 480 refereed journal and conference papers, including 3 books, 10 edited volumes. He was given a Foreign Specialist Award by the Ministry of Education, Japan in recognition of his contributions to the field of Machine Learning and communications. He received University of Melbourne Knowledge Transfer Excellence Award and Commendation Awards. He served as associate editor for Journals/transactions including IEEE Transactions on Neural Networks, Computational Intelligence for Finance. He is editor of Journal of Medical, Biological Engineering and Computing and the Subject Editor for International Journal on Distributed Sensor Networks. Through his research, he supported various start-ups, local and international companies. As an international investigator, he is involved in FP6, FP7 and H2020 initiatives in the areas of smart city and Internet of Things (IoT). To enhance outreach research capacity, he founded the IEEE international conference series on sensors, sensor networks and information processing and served as General Chair for over 15 IEEE and IEEE sponsored Conferences. He has given several keynote/plenary talks in the areas of sensor networks, IoT and machine learning. His research interests include Smart Sensors and Sensor Networks, Machine Learning, IoT and Biomedical Engineering and Control.
Liming (Luke) Chen
Bio.: Liming Luke Chen is Professor of Data Analytics, Research Director for the School of Computing, and lead the Cognitive Analytics Research Lab (CARL) at Jordanstown campus in Ulster University (UU). Prior to joining UU, he is a Professor of Computer Science and the Head of the Context, Intelligence and Interaction Research Group (CIIRG) in the School of Computer Science and Informatics, De Montfort University (DMU) . Before DMU, Liming has worked as a senior research fellow at the School of Electronics and Computer Science (ECS), University of Southampton, a lecturer, a senior lecturer and a reader in the School of Computing and Mathematics, University of Ulster. Liming has extensive research expertise and a wide range of research interests with special emphasis being placed on problem solving for real-world applications. His research spans from curiosity-driven theoretical exploration to practical problem-motivated technology and system development covering pervasive computing, data analytics, artificial intelligence, user-centred intelligent systems, smart environment, and digital health and assisted Living. Liming is a Fellow of the Institute of Engineering and Technologies (IET), a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), a Member of the IEEE Computational Intelligence Society (IEEE CIS), a Member of the IEEE CIS Smart World Technical Committee (SWTC), and the Founding Chair of the IEEE CIS SWTC Task Force on User-centred Smart Systems (TF-UCSS). He has served as an expert assessor, panel member and evaluator for UK EPSRC (Engineering and Physical Sciences Research Council, member of the Peer Review College), ESRC (Economic and Social Science Research Council), European Commision Horizon 2020 Research Programme, Danish Agency for Science and Higher Education, Denmark, Canada Foundation for Innovation (CFI), Canada, Chilean National Science and Technology Commission (CONICYT), Chile, and NWO (The Netherlands Organisation for Scientific Research), Netherlands.
Assoc. Prof. Pedro Isaias
Bio.: Pedro Isaias is an associate professor at the Information Systems & Technology Management School of The University of New South Wales (UNSW – Sydney), Australia. Previously he was an associate professor at The University of Queensland, Brisbane, Australia. Before moving to Australia, he served at the Universidade Aberta (Portuguese Open University) in Lisbon, Portugal, where he was responsible for several courses and director of the master degree program in Management / MBA. Pedro was director of the master degree program in Electronic Commerce and Internet for 10 years. Pedro Isaias holds a PhD in Information Management (in the specialty of information and decision systems) from the NOVA University of Lisbon. Author of several books, book chapters, papers and research reports, all in the information systems area, he has headed several conferences and workshops within the mentioned area. He has also been responsible for the scientific coordination of several EU funded research projects. He is also member of the editorial board of several journals and program committee member of several conferences and workshops. Currently he conducts research activity related to MIS in general, and more specifically Learning Technologies, Data Analytics, Business Intelligence, Digital Transformation, e-Business and WWW related areas.
Prof. Petr Hajek
Bio.: Petr Hajek received his Ph.D. degree in system engineering and informatics from the University of Pardubice, Czech Republic, in 2006. He is currently a professor with the Science and Research Centre, Faculty of Economics and Administration, University of Pardubice, Czech Republic. He was a visiting professor of the University of Czestochowa. He is the author or coauthor of five books and more than 70 articles in leading journals such as the Information Sciences, Decision Support Systems, and Knowledge-Based Systems. His current research interests include business decision making, soft computing, text mining, and knowledge-based systems. He is a fellow of the ACM, KES, and AIS. He has served on many international program committees and he is also a member of the editorial board of several international leading journals. He was a recipient of the Rector Award for Scientific Excellence in 2018 and 2019, respectively, and six Best Paper Awards at international scientific conferences.
Assoc. Prof. Solomiia Fedushko