SPEAKER I IN IPMV 2024
IEEE Fellow
Prof. James Tin-Yau Kwok, The Hong Kong University of Science and Technology, Hong Kong, China
BIO: Prof. Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his PhD degree in computer science from the Hong Kong University of Science and Technology. Prof. Kwok served/is serving as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Neurocomputing, Artificial Intelligence Journal, International Journal of Data Science and Analytics, Editorial Board Member of Machine Learning, Governing Board Member and Vice President for Publications of the Asia Pacific Neural Network Society. He also served/is serving as Senior Area Chairs / Area Chairs of major machine learning / AI conferences including NeurIPS, ICML, ICLR, IJCAI, AAAI and ECML. He is recognized as the Most Influential Scholar Award Honorable Mention for "outstanding and vibrant contributions to the field of AAAI/IJCAI between 2009 and 2019". He is an IEEE Fellow.
SPEAKER II IN IPMV 2024
Prof. Kenneth K.Y. Wong, University of Hong Kong, Hong Kong, China
BIO: Dr. Wong received the PhD degree in computer vision from the University of Cambridge in 2001. Since then, he has been with the Department of Computer Science at The University of Hong Kong, where he is now an Associate Professor. His research interests are in computer vision and machine intelligence. His research works include camera calibration, 3D reconstruction, image super-resolution, inpainting and restoration, and text-to-3D. He has published over 150 peer-reviewed journal and conference papers. Many of his works appear in top venues, including CVPR, ECCV, ICCV, TPAMI, IJCV, and TIP. He is currently an Associate Editor of IJCV.
SPEAKER III IN IPMV 2024
Prof. Seokwon Yeom, Daegu University Gyeongsan, South Korea
BIO: Seokwon Yeom has been a faculty member of Daegu University since 2007. He is now a full professor of the same university, School of AI. He has a Ph.D. in Electrical and Computer Engineering from the University of Connecticut in 2006.
His research interests are intelligent image/optical information processing, deep/machine learning, and target tracking. He has researched on multiple target tracking for the airborne early warning system, three-dimensional image processing with digital holography and integral imaging, photon-counting linear discriminant analysis and photon-counting nonlinear matched filter, millimeter wave and infrared image analysis, and long-distance target tracking for aerial surveillance and search and rescue mission with a small unmanned aerial vehicle.
He has been a guest editor of Applied Sciences and Drones in MDPI. He has served as a board member of the Korean Institute of Intelligent Systems, and a member of the board of directors of the Korean Institute of Convergence Signal Processing. He was program chair of ICCCS2015, ISIS2017, iFUZZY2018, ICCCS2019, ADIP2021-2023, IPMV2024. He was a vice director of the AI homecare center and a head of the department of IT convergence engineering at Daegu University in 2020, a visiting scholar at the University of Maryland in 2014, and a director of the Gyeongbuk techno-park specialization center in 2013.