Prof. Imre J. Rudas
IEEE Life Fellow, IFSA Fellow
Senior Past President of IEEE Systems, Man, and Cybernetics Society
Óbuda University, Budapest, Portugal
Speech Title: Human-Machine Collaboration Dynamics - A Sustainable AI Perspective
Imre J. Rudas (Life Fellow, IEEE) received the Ph.D. degree in robotics the Doctor of Science from the Hungarian Academy of Sciences, Budapest, Hungary, in 1987 and 2004, respectively, and the Doctor Honoris Causa degree from the Technical University of Kosice, Kosice, Slovakia, Polytechnica University of Timisoara, Timisoara, Romania, Óbuda University, Budapest, Hungary, and Slovak University of Technology, Bratislava, Slovakia. He is the founder and Professor Emeritus of Óbuda University, Budapest, Hungary. He has authored or coauthored 22 books and more than 930 articles with more than 9,800 citations. His research interests include computational cybernetics, robotics, and computational intelligence. From 2020 to 2021 he was the President. of the IEEE Systems, Man, and Cybernetics Society.
Prof. Robert Kozma
IEEE Fellow, INNS Fellow
Editor-in-Chief of IEEE Transactions of Systems, Man, and Cybernetics-Systems
University of Memphis, TN, USA
Speech Title: Human-Machine Collaboration Dynamics - A Sustainable AI Perspective
Dr. Robert Kozma (Fellow IEEE; Fellow INNS). He holds a Ph.D. in Applied Physics (Del University of Technology, The Netherlands), two M.Sc. degrees (Mathematics, Eotvos University, Hungary; and Power Engineering, Moscow, MEI, Russia). He is Professor of Mathematics, funding Director of Center for Large‐Scale Intelligent Optimization and Networks (CLION), FedEx Institute of Technology, University of Memphis, TN, USA. He is also Professor at Research and Innovation Center, Obuda University, Budapest, Hungary. Past visiting positions include Professor of Computer Science, University of Massachusetts Amherst, MA; US Air Force Research Laboratory, Sensors Directorate, WPAFB, OH; NASA Jet Propulsion Laboratory, Robotics Division, Caltech, Pasadena, CA; Sarnoff Co., Princeton, N.J. Previous affiliations at University of California at Berkeley, EECS and Division of Neurobiology; Otago University, Informa on Sciences, New Zealand; Tohoku University, Quantum Science and Engineering, Japan. He has 40 years of experience in intelligent signal processing, autonomous systems, large‐scale networks and graphs, distributed sensor systems, cognitive computing, and biomedical applications. Published 9 books/edited volumes, over 350 papers, has 3 patents. Gave over 200 presentations at conferences, about half of them are plenary, keynote, and invited talks. Received research funding of over $7M, by agencies NASA, DARPA, AFRL, AFOSR, NSF, ONR, and others. Dr. Kozma has been the President of the International Neural Network Society, served on the AdCom of the IEEE Computational Intelligence Society, on the Governing Board of IEEE SMC Society, and Internatitional Neural Network Society. He is presently Editor‐In‐Chief of IEEE Transactions of Systems, Man, and Cybernetics – Systems. He received various awards, including the INNS Dennis Gabor Award.
Prof. Tadahiko Murata
IEEE Fellow
Vice President for Organization and Planning, IEEE Systems, Man, and Cybernetics Society
University of Osaka, Japan
Speech Title: Real-Scale Social Simulations Using Societal Synthetic Populations in Digital Twin
Bio: Tadahiko Murata (IEEE Fellow) received his B.S., M.S., and Ph. D degrees from Osaka Prefecture University, Osaka, Japan in 1994, 1996, and 1997, respectively. He joined the Department of Industrial Engineering in Ashikaga Institute of Technology in 1997, then moved to Department of Informatics in Kansai University in 2001. He became a full professor at Kansai University in 2009. He then moved to Osaka University in 2023 as a full professor. In Osaka University, he is working for Cybermedia Center that is a supercomputing center not only for university researchers but also for public usages. He is giving classes at Graduate School of Information Science and Technology, and Undergraduate School of Engineering. His interests include multi-objective optimization, social simulations, digital twin, and high-performance computing. He was a member of Board of Governors in IEEE SMC Society from 2015 to 2020, President of Japanese Society for Evolutionary Computation from 2020 to 2022, currently Vice President for Organization and Planning, IEEE SMCS from 2022 to 2025, and Vice President of Japan Society for Fuzzy Theory and Intelligent Informatics from 2023 to 2026.
Prof. Richi Nayak
Queensland University of Technology, Australia
Speech Title: Advances in Multimodal Deep Learning: Challenges, Opportunities, and New Directions
Bio: Richi Nayak is a Professor at Queensland University of Technology (QUT), Brisbane, Australia. She is passionate about tackling pressing societal challenges through advances in Artificial Intelligence, driven by fundamental research in machine learning. Her work has led to innovative solutions across diverse domains, including Marketing, Education, Agriculture, Digital Humanities, and Mining. She has made significant contributions to social media mining, deep neural networks, multi-view learning, matrix/tensor factorisation, clustering, and recommender systems. She has authored more than 180 peer-reviewed publications, which have collectively received over 5,400 citations, and holds an h-index of 38. Her research excellence and leadership have been recognised through multiple best paper awards at international conferences, QUT Postgraduate Research Supervision Awards, and the 2016 Women in Technology Infotech Outstanding Achievement Award. She holds a PhD in Computer Science from QUT, Australia and a M. Tech (Engineering) from IIT Roorkee, India.