Keynote Speakers
Keynote Speaker I
Prof. Xudong
Jiang (IEEE Fellow)
Nanyang Technological University, Singapore
Dr. Xudong
Jiang received the B.Eng. and M.Eng. from the University
of Electronic Science and Technology of China (UESTC),
and the Ph.D. degree from Helmut Schmidt University,
Hamburg, Germany. From 1986 to 1993, he was a Lecturer
with UESTC, where he received two Science and Technology
Awards from the Ministry for Electronic Industry of
China. From 1998 to 2004, he was with the Institute for
Infocomm Research, A-Star, Singapore, as a Lead
Scientist and the Head of the Biometrics Laboratory,
where he developed a system that achieved the most
efficiency and the second most accuracy at the
International Fingerprint Verification Competition in
2000. He joined Nanyang Technological University (NTU),
Singapore, as a Faculty Member, in 2004, and served as
the Director of the Centre for Information Security from
2005 to 2011. Currently, he is a professor in NTU. Dr
Jiang holds 7 patents and has authored over 150 papers
with over 40 papers in the IEEE journals, including 11
papers in IEEE T-IP and 6 papers in IEEE T-PAMI. Three
of his papers have been listed as the top 1% highly
cited papers in the academic field of Engineering by
Essential Science Indicators. He served as IFS TC Member
of the IEEE Signal Processing Society from 2015 to 2017,
Associate Editor for IEEE SPL from 2014 to
2018, Associate Editor for IEEE T-IP from 2016 to 2020
and the founding editorial board member for IET
Biometrics form 2012 to 2019. Dr Jiang is currently an
IEEE Fellow and serves as Senior Area Editor for IEEE
T-IP and Editor-in-Chief for IET Biometrics. His current
research interests include image processing, pattern
recognition, computer vision, machine learning, and
biometrics.
Keynote Speaker II
Prof. Kiyoshi Hoshino
Meiji University, (Professor Emeritus) University of Tsukuba, Japan
He received two doctor's degrees; one
in Medical Science in 1993, and the other in Engineering
in 1996, from the University of Tokyo respectively. From
1993 to 1995, he was an Assistant Professor at Tokyo
Medical and Dental University School of Medicine. From
1995 to 2002, he was an Associate Professor at
University of the Ryukyus. From 2002 to 2023, he served
at the Biological Cybernetics Lab of University of
Tsukuba as an Associate Professor and a Full Professor.
He is now a Full Professor at Meiji University. He is
awarded Professor Emeritus of University of Tsukuba in
2023. From 1998 to 2001, he was jointly appointed as a
senior researcher of the PRESTO "Information and Human
Activity" project of the Japan Science and Technology
Agency (JST). From 2002 to 2005, he was a project leader
of a SORST project of JST. He served as a member of the
“cultivation of human resources in the information
science field” WG, Special Coordination Funds for the
Promotion of Science and Technology, MEXT, a member of
“Committee for Comfort 3D Fundamental Technology
Promotion”, JEITA, the General Conference Chair of the
43rd Annual Meeting of Japanese Society of Biofeedback
Research, and a councilor and director of the Ibaraki
Sports Association. He received IJCAI-09 AI Video Award,
iFAN 2010 Best Paper Award, Laval Virtual Awards in
2009, 2013 and 2014, ISER 2015 Best Paper Award, and
several domestic and international awards.
Keynote Speaker III
Prof. Tae-Kyun Kim, Korea Advanced Institute of Science and Technology, Korea
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.
Invited Speakers
Invited Speaker I
Prof. Maxim Bakaev, Novosibirsk State Technical University, Russia
Maxim Bakaev got his PhD degree in Software Engineering in 2012. He currently works as Associate Professor of the Automated Control Systems department of Novosibirsk State Technical University (NSTU), Russia. He is also the Acting Head of the Data Collection and Processing Systems department. Previously, he received his Master Degree in Digital Design from Kyungsung University, South Korea. His research interests include Human-Computer Interaction, Universal Design, Web User Interfaces, User Behavior Models, Knowledge Engineering, Machine Learning, etc. (https://www.researchgate.net/profile/Maxim-Bakaev) His recent research results are related to perception of visual complexity in graphical user interfaces (UIs) and its relation to Gestalt principles and compression algorithms. So, he has proposed the Index of Difficulty for tasks that involve visual-spatial working memory. He oversees the development of the Web UI Measurement Platform (http://va.wuikb.info/) that integrates online services for collecting ML data for UI assessment. He has served as a committee member for several international conferences, particularly as PC Co-Chair for ICMSC 2018 and ICWE 2019, as Demo & Posters Chair for ICWE 2020, and as Workshops Co-Chair for ICWE 2021. He also served as a reviewer for several international conferences and journals, including CHI, UIST, International Journal of Human-Computer Studies, Applied Ontology, Symmetry, etc. He is the Guest Editor for "Complexity in Human-Computer Interfaces: Information-Theoretic Approaches and Beyond", a Special Issue in Mathematics journal. He is also a Section Editor for the Journal of Web Engineering. He has acted as PI or participant in several research grants, domestic and international. In 2016, he received Novosibirsk City Hall award in science and innovations as a "Best young researcher in higher education institutions". Under his supervision, more than 20 Master and Bachelor students graduated.
Invited Speaker II
Prof. Yoosoo Oh, Daegu University, Korea
Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master's degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked as a visiting scholar at Lancaster University in the UK. In September 2012, he joined Daegu University, where he is currently a professor at the School of Computer & Information Engineering. He worked as a center director of Smart Drone Center, AZIT Makerspace Center, and Gyeongbuk Technopark Daegu University Center. Also, he has served on the Board of Directors of KSIIS since 2019 and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc. He has received several awards: the Worldwide Lifetime Achievement in 2017 Albert Nelson Marquis Lifetime Achievement Award by MARQUIS WHO's Who, 2017 awards from the Korea Society of Industrial Information Systems, and the 2016 Excellent Research Award from Daegu University.
Invited Speaker III
Assistant Professor Dr. Xiangyu Yue, The Chinese University of Hong Kong
Xiangyu Yue is currently a Tenure-track Assistant Professor in the Department of Information Engineering at The Chinese University of Hong Kong. He received his PhD degree from EECS department at UC Berkeley. Before that, he received his BE and MS from Nanjing University and Stanford University, respectively. His research interest spans Multi-modal Learning, Transfer Learning, and Computer Vision, with 8000+ citations and H-Index of 27. He has served as reviewer for many conferences and journals, e.g. ICML, NeurIPS, CVPR, ICCV, TPAMI, IJCV, etc. He is serving as Area Chair for many top conferences, e.g. CVPR 2024 and NeurIPS 2024. His research has been recognized by the Lotfi A. Zadeh Award, for his outstanding contributions to soft computing and its applications.