Invited Speakers

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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.

Prof. Yumie Ono, Meiji University, Japan

Dr. Yumie Ono received her Ph.D., M.S., and B.S. degrees in Electrical Engineering from Waseda University in 2004, 2001, and 2000. She was an assistant professor at the Waseda-Olympus Bioscience Research Institute in Singapore between 2005-2006, assistant/associate professor in the Department of Physiology and Neuroscience in Kanagawa Dental College between 2006-2011. She joined the Department of Electronics and Bioinformatics, School of Science and Technology at Meiji University as an associate professor in 2011 and she is a full professor since 2017. She is also a director of the Health Science and Medical Engineering Laboratory at Meiji University. Her research focuses on combining human functional measurement and bio-signal processing techniques to develop novel applications in medical diagnosis and neurorehabilitation. She received the Research Fellowship of the Japan Society for the Promotion of Science in 2003, and the Best Research Award of the Japanese Society for Medical and Biological Engineering in 2016 and 2021. She is a member of the IEEE EMBS, the Japanese Society for Medical and Biological Engineering, Society for Neuroscience, and the Japan Neuroscience Society, and a councilor of the Japan Society of Neurovegetative Research and Japan Biomagnetism and Bioelectromagnetics society. She is also an Associate Editor of the IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Dr. Tatsuya Ibuki, Meiji University, Japan

Tatsuya Ibuki received the B.Eng., M.Eng., and Ph.D. degrees in mechanical and control engineering from Tokyo Institute of Technology in 2008, 2010, and 2013, respectively. He was a research fellow with the Japan Society for the Promotion of Science from 2012 to 2013, an assistant professor with the Department of Systems and Control Engineering, Tokyo Institute of Technology from 2013 to 2020, and a visiting scholar with the School of Electrical and Computer Engineering, Georgia Institute of Technology in 2019. Since 2020, he has been a senior assistant professor with the Department of Electronics and Bioinformatics, Meiji University. His research interests include cooperative control of robotic networks, fusion of control theory and machine learning, and vision-based estimation and control.