Keynote

Bio

Distinguished Professor Jie Lu is a world-renowned scientist in the field of computational intelligence, primarily known for her work in fuzzy transfer learning, concept drift, recommender systems, and decision support systems. She is an IEEE Fellow, IFSA Fellow, Australian Computer Society Fellow, Australian Laureate Fellow and Australian Industry Laureate Fellow. Professor Lu is the Director of the Australian Artificial Intelligence Institute (AAII) at University of Technology Sydney (UTS), Australia. She has published six research books and over 500 papers in leading journals and conferences; won 10 Australian Research Council (ARC) Discovery Projects and over 20 industry projects as leading chief investigator; and supervised 50 PhD students to completion. Prof Lu serves as Editor-In-Chief for Knowledge-Based Systems and International Journal of Computational Intelligence Systems. She is a recognized keynote speaker, delivering over 40 keynote speeches at international conferences. She is the recipient of three IEEE Transactions on Fuzzy Systems Outstanding Paper Awards (2019, 2022 and 2025), NeurIPS Outstanding Paper Award (2022), Australia's Most Innovative Engineer Award (2019), Australasian Artificial Intelligence Distinguished Research Contribution Award (2022), Australian NSW Premier's Prize on Excellence in Engineering or Information & Communication Technology (2023), and the Officer of the Order of Australia (AO) in the Australia Day 2023.

Bio

Jun Wang is the Chair Professor of Computational Intelligence in the Department of Computer Science and School of Data Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and the Chinese University of Hong Kong. He also held various short-term visiting positions at USAF Armstrong Laboratory, RIKEN Brain Science Institute, Dalian University of Technology, Huazhong University of Science and Technology, and Shanghai Jiao Tong University (Changjiang Chair Professor). He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology and his Ph.D. degree in systems engineering from Case Western Reserve University. His current research interests include neural networks and their applications. He published over 200 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas.

He is the Editor-in-Chief of the IEEE Transactions on Cybernetics. He also served as an Associate Editor of the IEEE Transactions on Neural Networks (1999–2009), IEEE Transactions on Cybernetics and its predecessor (2003–2013), and IEEE Transactions on Systems, Man, and Cybernetics – Part C (2002–2005), as well as a member of the editorial board of Neural Networks (2012–2014) and the editorial advisory board of International Journal of Neural Systems (2006–2013). He was an organizer of several international conferences, including General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence, and Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012).

He is an IEEE Fellow, IAPR Fellow, and IEEE Systems, Man and Cybernetics Society Distinguished Lecturer (2017–2018), and was an IEEE Computational Intelligence Society Distinguished Lecturer (2010–2012, 2014–2016). In addition, he served as President of the Asia Pacific Neural Network Assembly (APNNA) in 2006 and on many committees such as the IEEE Fellow Committee and IEEE Computational Intelligence Society Awards Committee. He is a recipient of the IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA Outstanding Achievement Award (2011), and the Neural Networks Pioneer Award from the IEEE Computational Intelligence Society (2014), among other distinctions.

Bio

Yiu-ming Cheung is currently Chair Professor (Artificial Intelligence) in the Department of Computer Science, Dean of the Institute for Research and Continuing Education (IRACE), and Associate Director of the Institute of Computational and Theoretical Studies at Hong Kong Baptist University (HKBU). He received his PhD from the Department of Computer Science and Engineering at The Chinese University of Hong Kong. He has been elected a Member of the European Academy of Sciences and Arts (EASA), and a Fellow of IEEE, AAAS, IAPR, IET, and BCS. He is a Distinguished Lecturer of the IEEE Computational Intelligence Society and named Chair Professor in the Changjiang Scholars Program by the Ministry of Education of the People’s Republic of China.

Professor Cheung’s research interests include machine learning and visual computing, with applications in data science, pattern recognition, multi-objective optimization, and information security. He has published over 300 articles in leading conferences and journals (e.g., TPAMI, TNNLS, TIFS, TIP, TMM, TKDE, TCYB, CVPR, ICML, IJCAI, AAAI). He is the recipient of the 2023–2024 RGC Senior Research Fellow Award, the President’s Award for Outstanding Performance in Scholarly Work (2023–2024), the 2023 APNNS Outstanding Achievement Award, and several prestigious translational research awards including Gold Medals at international invention exhibitions.

He is currently Editor-in-Chief of the IEEE Transactions on Emerging Topics in Computational Intelligence and has served as Associate Editor / Guest Editor for several top journals (IEEE Transactions on Cybernetics, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Neural Networks and Learning Systems, ACM TIST, Pattern Recognition, Neurocomputing). He has chaired numerous international conferences (IJCAI, ICPR, ICDM, WCCI, WI-IAT) and serves on panels of the Research Grants Council of Hong Kong and IEEE Fellow Evaluation Committees.

Bio

Mounir Ghogho received the PhD degree in 1997 from the National Polytechnic Institute of Toulouse, France. He was a Research Fellow at the University of Strathclyde, Glasgow, from September 1997 to November 2001. Since December 2001, he has been a faculty member of the School of Electronic and Electrical Engineering at the University of Leeds (UK), where he currently holds a Professor/Chair in Signal Processing and Communications. He is also a Professor at the International University of Rabat. His research interests include signal processing and communication networks. He has published 3 book chapters, 70 journal papers, and over 140 conference papers. He was awarded the five-year UK Royal Academy of Engineering Research Fellowship in 2000 and received the 2013 IBM Faculty Award.

He served as Associate Editor of IEEE Signal Processing Letters (2001–2004), IEEE Transactions on Signal Processing (2005–2008), and Elsevier Digital Signal Processing (2011–2012). He was a member of IEEE SPCOM Technical Committee (2005–2010), IEEE SPTM Technical Committee (2006–2011), and is currently a member of the IEEE SAM Technical Committee.

Professor Ghogho has organized and chaired numerous conferences: General Co-Chair of EUSIPCO 2013 and SPAWC 2010, Technical Co-Chair of the MIMO Symposium at IWCMC 2007 and 2008. He has held invited scientist/professor positions at the US Army Research Lab (USA), Télécom ParisTech (France), National Institute of Informatics (Japan), University Carlos III of Madrid (Spain), Technical University of Darmstadt (Germany), University of Minnesota (USA), and Beijing University of Posts and Telecommunications (China).

Bio

Prof Yao Xin is the Vice-President (Research and Innovation) and the Tong Tin Sun Chair Professor of Machine Learning at Lingnan University. Previously, he held academic positions at the Southern University of Science and Technology (China), the University of Birmingham (UK), Australian Defence Force Academy, University College, the University of New South Wales (Australia), and the University of Science and Technology of China (China).

Prof Yao was elected as an IEEE Fellow in 2003. He won the Royal Society Wolfson Research Merit Award in 2012, the IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award in 2013, and the IEEE Frank Rosenblatt Award in 2020. He served as the Editor-in-Chief of IEEE Transactions on Evolutionary Computation (2003–2008) and the President of the IEEE Computational Intelligence Society (2014–2015). He was listed in the World's Top 2% Scientists by Stanford University since 2021 and named Highly Cited Researcher in 2022 and 2023.

According to Google Scholar, his research has been cited over 74,000 times, with an H-index of 122.