Prof. Henry Leung
University of Calgary, Canada
SPIE Fellow, IEEE Fellow
Short Bio: Henry Leung is a Schulich Industry Research Chair Professor of the Department of Electrical and Software Engineering at the University of Calgary, Canada. His current research interests include data analytic, information fusion, machine learning, signal and image processing, robotics, and internet of things. He has published over 350 journal papers and 250 refereed conference papers. Dr. Leung has been the associate editor of various journals such as the IEEE Circuits and Systems Magazine, International Journal on Information Fusion, IEEE Trans. Aerospace and Electronic Systems, IEEE Signal Processing Letters, IEEE Trans. Circuits and Systems, Scientific Reports He has also served as guest editors for the special issue “Intelligent Transportation Systems” for the International Journal on Information Fusion and “Cognitive Sensor Networks” for the IEEE Sensor Journal. He is the editor of the Springer book series on “Information Fusion and Data Science”. He is a Fellow of IEEE and SPIE.

Prof. Tae-Kyun Kim
Korea Advanced Institute of Science and Technology, South Korea
Speech Title: Image and 3D Shape Generation
Short Bio: Tae-Kyun (T-K) Kim is a full Professor and the director of Computer Vision and Learning Lab at School of Computing, KAIST since 2020, and has been an adjunct reader of Imperial College London (ICL), UK for 2020-2024. He led Computer Vision and Learning Lab at ICL during 2010-2020. He obtained his PhD from Univ. of Cambridge in 2008 and Junior Research Fellowship (governing body) of Sidney Sussex College, Univ. of Cambridge during 2007-2010. His BSc and MSc are from KAIST. His research interests primarily lie in machine (deep) learning for 3D computer vision and generative AI, including: articulated 3D hand/body reconstruction, face analysis and recognition, 6D object pose estimation, activity recognition, object detection/tracking, active robot vision, which lead to novel active and interactive visual sensing. He has co-authored over 100 academic papers in top-tier conferences and journals in the field, and has co-organised series of HANDS workshops and 6D Object Pose workshops (in conjunction with CVPR/ICCV/ECCV) since 2015. He was the general chair of BMVC17 in London, the program co-chair of BMVC23, and is Associate Editor of Pattern Recognition Journal, Image and Vision Computing Journal. He regularly serves as an Area Chair for top-tier vision/ML conferences. He received KUKA best service robotics paper award at ICRA 2014, and 2016 best paper award by the ASCE Journal of Computing in Civil Engineering, and the best paper finalist at CVPR 2020, and his co-authored algorithm for face image representation is an international standard of MPEG-7 ISO/IEC.

Prof. Lipo Wang
Nanyang Technological University, Singapore
Speech Title: Progress in Deep Learning for Medical Image and EEG Classification
Short Bio: Prof. Lipo Wang received the bachelor's degree from National University of Defense Technology (China) and PhD from Louisiana State University (USA). He is presently with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence for image and data processing. He has 400+ publications, 2 patents and 15,000+ Google Scholar citations. He was keynote speaker for 40+ international conferences. He is an Editor-in-Chief of International Journal of Computational Intelligence and Applications, Senior Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems, and Associate Editor of IEEE Transactions on Neural Networks and Learning Systems. He is/was Associate Editor/Editorial Board Member of 30+ international journals, including 2 other IEEE Transactions, and guest editor for 10+ journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA, renamed as APNNS – "Society") and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.

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