SPEAKER I IN IPMV 2024
FIEEE, FCAE, FEIC, FIET
Prof. Fei Richard Yu, Carleton University, Canada
BIO: Prof. F. Richard Yu received the PhD degree in electrical engineering from the University of British Columbia (UBC) in 2003. From 2002 to 2006, he was with Ericsson (in Lund, Sweden) and a start-up (in San Diego, CA, USA), where he worked on the research and development in the areas of advanced wireless communication technologies and new standards. He joined Carleton School of Information Technology and the Department of Systems and Computer Engineering (cross-appointment) at Carleton University, Ottawa, in 2007, where he is currently a Professor. His research interests include cyber-security, connected and autonomous vehicles, artificial intelligence, blockchain, and wireless systems. He has published 600+ papers in reputable journals/conferences, 8 books, and 28 granted patents, with 10,000+ citations (Google Scholar). He received the IEEE TCGCC Best Journal Paper Award in 2019, Distinguished Service Awards in 2019 and 2016, Outstanding Leadership Award in 2013, Carleton Research Achievement Awards in 2012 and 2021, the Ontario Early Researcher Award (formerly Premiers Research Excellence Award) in 2011, the Excellent Contribution Award at IEEE/IFIP TrustCom 2010, the Leadership Opportunity Fund Award from Canada Foundation of Innovation in 2009 and the Best Paper Awards at IEEE ICNC 2018, VTC 2017 Spring, ICC 2014, Globecom 2012, IEEE/IFIP TrustCom 2009 and Int'l Conference on Networking 2005.
He serves on the editorial boards of several journals, including Co-Editor-in-Chief for Ad Hoc & Sensor Wireless Networks, Lead Series Editor for IEEE Transactions on Vehicular Technology, IEEE Communications Surveys & Tutorials, and IEEE Transactions on Green Communications and Networking. He has served as the Technical Program Committee (TPC) Co-Chair of numerous conferences. He is a ``Highly Cited Researcher" according to Web of Science since 2019. He is an IEEE Distinguished Lecturer of both Vehicular Technology Society (VTS) and Comm. Society. He is an elected member of the Board of Governors of the IEEE VTS and Editor-in-Chief for IEEE VTS Mobile World newsletter. He is a Fellow of the IEEE, Canadian Academy of Engineering (CAE), Engineering Institute of Canada (EIC), and Institution of Engineering and Technology (IET).
SPEAKER II 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 III IN IPMV 2024
Prof. Seokwon Yeom, Daegu University Gyeongsan, South Korea
Title of the speech: Drone application for search and rescue mission
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.