2024-Keynote Speakers

 

(Fellow, IEEE)

Prof. KWONG Tak Wu Sam, Lingnan University, Hong Kong, China

Talk Title: Deep Learning Based Video Coding and its Applications

Biography: Professor KWONG Sam Tak Wu is the Chair Professor of Computational Intelligence, and concurrently as  Associate Vice-President (Strategic Research) of Lingnan University. Professor Kwong is a distinguished scholar in evolutionary computation, artificial intelligence (AI) solutions, and image/video processing, with a strong record of scientific innovations and real-world impacts. Professor Kwong was listed as one of the top 2% of the world’s most cited scientists, according to the Stanford University report. He was listed as one of the top 1% of the world’s most cited scientists by Clarivate in 2022. He has also been actively engaged in knowledge transfer between academia and industry. He was elevated to IEEE Fellow in 2014 for his contributions to optimization techniques in cybernetics and video coding. He was a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) in 2022, and the President of the IEEE Systems, Man, and Cybernetics Society (SMCS) in 2021-23. Professor Kwong has a prolific publication record with over 350 journal articles, and 160 conference papers with an h-index of 78 based on Google Scholar. He is currently the associate editor of a number of leading IEEE transaction journals.

 

 

 

 

 

 

(Fellow, IEEE)

Prof. Weisi Lin, Nanyang Technological University, Singapore

Talk Title: Computational Models toward Aesthetic Quality Assessment of Images

Biography: Weisi Lin is an active researcher in image processing, perception-based signal modelling and assessment, video compression, and multimedia communication. He had been the Lab Head, Visual Processing, Institute for Infocomm Research (I2R), Singapore. He is currently a Professor in School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, where he also serves as the Associate Chair (Research). He is a Fellow of IEEE and IET. He has been awarded Highly Cited Researcher 2019, 2020, 2021 and 2022 by Clarivate Analytics, and elected for the Research Award 2023, College of Engineering, NTU. He has been a Distinguished Lecturer in both IEEE Circuits and Systems Society (2016-17) and Asia-Pacific Signal and Information Processing Association (2012-13). He has been an Associate Editor for IEEE Trans. Neural Networks Learn. Syst., IEEE Trans. Image Process., IEEE Trans. Circuits Syst. Video Technol., IEEE Trans. Multim., IEEE Sig. Process. Lett., Quality and User Experience, and J. Visual Commun. Image Represent. He has been a TP Chair for several international conferences and is a General Co-Chair for IEEE ICME 2025. He believes that good theory is practical and has delivered 10+ major systems for industrial deployment with the technology developed.

 

 

 

 

Prof. Michele NAPPI, University of Salerno, Italy

Biography: Michele Nappi received the laurea degree (cum laude) in Computer Science from the University of Salerno, Italy, in 1991, the M.SC. degree in Information and Communication Technology from I.I.A.S.S. "E.R. Caianiello," in 1997, and the Ph.D. degree in Applied Mathematics and Computer Science from the University of Padova, Italy, in 1997. He is currently a full professor of Computer Science at the University of Salerno. Author of more than 200 papers in peer review international journals, international conferences and book chapters, He is co-editor of several international books. His research interests include pattern recognition, image processing, image compression and indexing, multimedia databases and biometrics, human computer interaction, vr\ar. Dr. Nappi serves as associate editor and managing guest editor for several international journals. He is also a member of tpc of international conferences. He is team leader of the Biometric and Image Processing Lab (BIPLAB) and received several international awards for scientific and research activities. IEEE Senior Member, GIRPR/IAPR Member, He has been the President of the Italian Chapter of the IEEE Biometrics Council. In 2014 He was one of the founders of the spin off BS3 (biometric system for security and safety). He is Deputy Rector for the University of Salerno Reputation and International Ranking and co-EiC of (Elsevier) Image and Vision Computing Journal.

 

 

 

 

Prof. Yen-Wei Chen, Ritsumeikan University, Japan

Talk Title: Recent Advances in Medical Image Analysis Using Deep Learning

Biography: Yen-Wei Chen received the B.E. degree in 1985 from Kobe Univ., Kobe, Japan, the M.E. degree in 1987, and the D.E. degree in 1990, both from Osaka Univ., Osaka, Japan. He was a research fellow with the Institute for Laser Technology, Osaka, from 1991 to 1994. From Oct. 1994 to Mar. 2004, he was an associate Professor and a professor with the Department of Electrical and Electronic Engineering, Univ. of the Ryukyus, Okinawa, Japan. He is currently a professor with the college of Information Science and Engineering, Ritsumeikan University, Japan. He is the founder and the first director of Center of Advanced ICT for Medicine and Healthcare, Ritsumeikan University, Japan.

His research interests include medical image analysis, computer vision and computational intelligence. He has published more than 300 research papers in a number of leading journals and leading conferences including CVPR, ICCV, MICCAI, IEEE Trans. Image Processing, IEEE Trans. Medical Imaging. He has received many distinguished awards including ICPR2012 Best Scientific Paper Award, 2014 JAMIT Best Paper Award. He is/was a leader of numerous national and industrial research projects.