Invited Speaker

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Invited Speaker I

Prof. Jun Sakakibara

Meiji University, Japan

Dr. Jun Sakakibara received his Ph.D. from the Department of Mechanical Engineering at Keio University in 1996. He was a visiting scholar at the University of Illinois at Urbana-Champaign from 1996 to 1997 before joining the Department of Engineering Mechanics at the University of Tsukuba in 1997. He later returned to the University of Illinois for a second visit from 2000 to 2001. In 2013, he joined the Department of Mechanical Engineering at Meiji University. Dr. Sakakibara is an associate editor of the Journal of Visualization and a member of the editorial board of Experiments in Fluids. He previously chaired the 46th Annual Meeting of the Visualization Society of Japan and is scheduled to chair the 16th International Symposium on Particle Image Velocimetry in 2025. He is currently serving as the President of the Visualization Society of Japan. His current research interests include experimental studies of complex turbulent flows, with particular emphasis on flows associated with wall-bounded systems, separated flows, and flows around wings or obstacles. He is also dedicated to the advancement of optical flow measurement techniques, including particle image velocimetry and laser-induced fluorescence.

Invited Speaker II

Prof. Hiromasa Oku

Gunma University, Japan

Hiromasa Oku received the Dr. (Eng.) degree in mathematical engineering and information physics from The University of Tokyo, Japan, in 2003. He was a Researcher with PRESTO, Japan Science and Technology Agency, from 2003 to 2005. He was a Research Associate (2005–2007), an Assistant Professor (2007–2011), and a Lecturer/an Assistant Professor (2011–2014) with The University of Tokyo. He has been an Associate Professor with the School of Science and Technology, Gunma University, since 2014, where he is currently a Professor with the Faculty of Informatics. He has received numerous awards in robotics, virtual reality, and human-computer interaction, including the Best Paper Award at VRST 2017, the Advanced Robotics Best Paper Award (2016), and multiple honors from JSME, SICE, and METI. His research interests include high-speed image processing, high-speed optical devices, and dynamic image control.

Invited Speaker III

 
Project assistant professor Dr. Ling Xiao 

The University of Tokyo, Japan

Ling Xiao (IEEE and ACM member) is an Assistant Professor at the University of Tokyo (UTokyo) (2023.10 to now) and an adjunct Project Assistant Professor at BeyondAI (2023.11 to now). Previously, she was a postdoctoral researcher at UTokyo (2021.06–2023.09) and an adjunct Project Researcher at BeyondAI (2022.07–2023.10). She obtained her Ph.D. from Huazhong University of Science and Technology in Dec. 2020 and was a visiting student at the University of Queensland, Australia (2018.10–2019.11) under the support of the CSC scholarship. Her research interests focus on AI, recommendation systems, continual learning, large multimodal models, anomaly detections, etc. She has published over 20 peer-reviewed journal and conference papers, and more than 10 Japanese domestic  conference papers. She is also served as a reviewer for several major conferences (CVPR 2024, AAAI 2024, ICSSSP 2024, MMM 2024, etc.) and journals (IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEICE, etc).

 

Invited Speaker IV

Senior Assistant Professor Dr. Taku Itami

Meiji University, Japan

Dr. Taku Itami is currently a Senior Assistant Professor at the Department of Electronics and Bioinformatics, School of Science and Technology, Meiji University, specializing in Robotics and Rehabilitation Engineering. Dr. Itami previously conducted research in the field of Mechatronics at the Department of Systems Engineering, Graduate School of Mie University. He is currently pursuing a doctoral degree in Orthopedics at the Graduate School of Medicine, Gifu University. With this background, he is engaged in the development of devices and systems essential for daily life, with a particular focus on ensuring that the devices developed truly meet the needs of the users.