Professor Mikio Sakai
- Doctor of Philosophy (PhD), University of Tokyo, 2006
- Partner Investigator
- The University of Tokyo
Professor Mikio Sakai is a Full Professor in the Department of Nuclear Engineering and Management at The University of Tokyo. He received his Ph.D. from The University of Tokyo in 2006, and subsequently joined the same institution as an Assistant Professor in 2007, was promoted to Associate Professor in 2008, and became a Full Professor in 2023. He has held visiting appointments at Imperial College London since 2016, serving as Visiting Reader (2016–2023) and Visiting Professor (since 2023), and at the University of Surrey (2019–2025). Professor Sakai’s research focuses on modeling and simulation of granular and multiphase flows, parallel computational methods for the discrete element method, and data-driven approaches such as AI-based surrogate modeling and data science applications in powder and particle systems. He is internationally recognized as a leading expert in computational granular dynamics and has delivered numerous invited lectures at major international conferences. His outstanding research achievements have been recognized with several prestigious awards, including the SCEJ Award for Outstanding Research Achievement from The Society of Chemical Engineers, Japan; the IP Award from the Information Center of Particle Technology; the Best Paper Award from the Society of Powder Technology of Japan; and the JACM Computational Mechanics Award from the Japan Association for Computational Mechanics. Professor Sakai also plays a prominent leadership role in the powder technology community. He serves as Director of the Society of Powder Technology of Japan, Head of the Modeling and Simulation Division, and Chairperson of the AI Technical Committee of the Association of Powder Process Industry and Engineering, Japan. He is currently an Editor of Chemical Engineering Science and Granular Matter.
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