KEYNOTE& INVITED 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 Speaker

Invited Speaker I

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.

Invited Speaker II

Prof. Yoosoo Oh, Daegu University, Korea

Yoosoo Oh received his B.S. degree in Electronics Engineering from Kyungpook National University, Daegu, Korea, in 2002. He received his M.S. degree in Information and Communications in 2003 and his Ph.D. degree in Information and Mechatronics in 2010 from Gwangju Institute of Science and Technology (GIST), Korea.
From 2005 to 2006, he was a Visiting Researcher at the Embedded Interaction Lab, University of Munich, Germany. From 2010 to 2012, he worked at the Culture Technology Institute (CTI), GIST, as a Technical Team Leader and General Team Leader. He was also a Visiting Scholar at Lancaster University, UK, and a Researcher at KAIST Graduate School of Culture Technology (GSCT) in 2012. In 2019–2020, he served as a Visiting Professor at Georgia Institute of Technology, USA.
Since joining Daegu University in 2012, he has held multiple academic leadership positions. He is currently a Full Professor in the School of Computer Software Engineering, School of Computer & Information Engineering. He previously served as Director of the Basic Education Center under the SW-Centered University Project (2025) and as Dean/Head of the School of Computer & Information Engineering (2025–2026). He has also served as Department Chair, Head Professor, and Director of several major research centers, including the Mixed Reality Convergence Research Center, DU Smart Drone Center, AZIT MakerSpace Center, and the Gyeongbuk Technopark–Daegu University Center. In addition, he led industry–university cooperation initiatives as Director of the Enterprise Supporting Office of the LINC Project Group.
Prof. Oh is the Founder and CEO/CTO of NWI Co., Ltd., an AI-based Edutech company established in 2021. He also serves as an Auditor of the Daegu-Gyeongbuk Metaverse Industry Association. He has been a Board Member of the Korea Society of Industrial Information Systems (since 2019) and the HCI Korea Society (since 2014), and is a member of the ISMAR 2025 Organizing Committee.
His research focuses on machine learning, deep learning for Edutech, industrial AI applications, intelligent middleware, human–AI interaction, and AI convergence systems.
He has received numerous awards and honors, including the Minister of Education Award (2025), selection among the Top 50 Outstanding Research Achievements supported by the National Research Foundation of Korea, the Albert Nelson Marquis Lifetime Achievement Award (2017), a Commendation from the Korea Industry-Academia Cooperation Association (2018), and the Daegu University Excellent Research Award in Academic Publications (2016).

 

Invited Speaker III

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 IV

Assoc. Prof. Ir. Dr. Kim Seng Chia , Universiti Tun Hussein Onn Malaysia, Malaysia

Ir. Dr. Kim Seng Chia is an Associate Professor at Universiti Tun Hussein Onn Malaysia (UTHM). He is a Chartered Engineer (CEng, UK) and Professional Engineer (BEM, Malaysia) with expertise in machine learning and embedded system applications. He holds a PhD in Electrical Engineering from Universiti Teknologi Malaysia (UTM), where his research focused on non-destructive fruit quality prediction using near-infrared spectroscopy. Dr. Chia has led multiple research grants on intelligent quality assessment and environmental monitoring, including honey, air, and wastewater. His applied research employs ESP32 and FreeRTOS for real-time data processing and automation, and he delivers HRD Corp claimable industrial training on embedded and IoT systems. He currently serves as Editor of the International Journal of Integrated Engineering (IJIE) and contributes actively to global academic communities as a forum speaker, session chair, technical committee member, technical reviewer, and IET mentor for Chartered Engineer registration.