KEYNOTE SPEAKERS

Keynote Speakers

Keynote Speaker I

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.

 

Keynote Speaker II

Prof. Changxu Wu
Tsinghua University, China

Dr. Changxu Wu received his Ph.D. degree in Industrial and Operational Engineering from the University of Michigan-Ann Arbor (2007). He is a full professor of Department of Industrial Engineering in Tsinghua University, China since 2020. From 2017-2020, he was a professor of Department of Systems and Industrial Engineering University of Arizona. Dr. Wu directs the Cognitive System Lab and he is interested in integrating cognitive science and engineering system design, especially modeling human cognition system with its applications in system design, improving transportation safety, promoting human performance in human-computer interaction, and inventing innovative sustainable and smart energy systems with human in the loop. Dr. Wu has published 116 papers in the field including 80 journal papers, 36 conference papers, 1 book chapter, and 2 patents in intelligent system design authorized. The journal papers include IEEE Transactions on Systems, Man, and Cybernetics (Part A), IEEE Transactions on Intelligent Transportations Systems, Psychological Review (Impact Factor: 9.02), ACM Transactions on Computer-Human Interaction, International Journal of Human-Computer Studies, as well as several other journals. He was the Chair of Human Performance Modeling Technical Group of Human Factors and Ergonomics Society (HFES) in USA. He is also Associate Editors for IEEE Transactions on Intelligent Transportations Systems, IEEE Transaction on Human-Machine Systems, and Behaviour & Information Technology. He received the Senior Researcher of the Year Award from the Dean of School the Engineering & Applied Sciences at SUNY Buffalo and Outstanding Student Instructor Award from the American Society of Engineering Education (ASEE).
 

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.