KEYNOTE & invited SPEAKERS
Keynote Speaker I
Prof. Witold Pedrycz (IEEE
Fellow)
University of Alberta, Canada
Dr. Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society. His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. He has published papers in these areas. He is also an author of 21 research monographs and edited volumes covering various aspects of Computational Intelligence, data mining, and Software Engineering. Dr. Pedrycz is vigorously involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of international journals.
Keynote Speaker II
Prof. Takayuki Nakachi
University of the Ryukyus, Japan
Takayuki Nakachi is a Professor at the
Information Technology Center, University of the
Ryukyus, Japan. His research spans sparsity-based
AI, quantum-inspired machine learning, secure signal
processing, and ultra-high-definition video coding.
In particular, he focuses on small-data,
interpretable, and trustworthy AI leveraging sparse
modeling and Gaussian processes. He has authored
over 150 peer-reviewed journal and international
conference papers in these fields.
Prior to joining the University of the Ryukyus in
April 2021, he had a distinguished research career
at Nippon Telegraph and Telephone Corporation (NTT),
where he was primarily engaged in
ultra-high-definition video coding and transmission.
From 2006 to 2007, he was a Visiting Researcher at
Stanford University, USA, conducting pioneering
research on distributed video coding, and
subsequently contributed to the ISO/IEC MPEG Media
Transport (MMT) international standardization.
Dr. Nakachi received his Ph.D. degree in engineering
from Keio University in 1997. He plays a prominent
role in international academic leadership, having
served as General Chair and Chair of the
International Steering Committee for international
conferences, alongside key technical committee roles
in IEEE and IEICE. He has received prestigious
recognitions, including the 26th Telecom System
Technology Award, the ACM ICAAI 2024 Best
Presentation Award, and the IEEE WSCE 2023 Best
Presentation Award.
Invited Speaker
Associate Professor Marshima Mohd Rosli
Universiti Teknologi MARA, Malaysia
Marshima Mohd Rosli is an Associate Professor in the Department of Computing Sciences at the College of Computing, Informatics, and Mathematics, Universiti Teknologi MARA, Malaysia. She holds a PhD in Computer Science from the University of Auckland, New Zealand. Her research primarily focuses on software engineering, system development, artificial intelligence, and data analytics. She has contributed numerous publications to renowned conferences and journals such as IEEE and ACM.