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Dr. Takanobu Mizuta is a senior researcher at an asset management company. He has more than 15 years of practical experience as a fund manager in stock markets. He also has 8 years of experience as a part-time lecturer at the Graduate School of Public Policy, the University of Tokyo in 2014-2022. He is a member of the IEEE Computational Finance and Economics Technical Committee (CFETC) since 2019 and the chair in 2024-2025. His research interest is in a computer simulation of an agent-based artificial financial market model (ABAFMM) to design a financial market that works well, that includes making and/or modulating detailed regulations and/or rules. His research has been published in top quantitative AI for finance conferences and has received various awards, including the 2021 best papers award nominee on the 8th IEEE International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC) and the 2014 3rd place award for the 2014 CIFEr best paper on the IEEE Conference Computational Intelligence for Financial Engineering and Economics (CIFEr). He is a member of IEEE CIS. He received his Ph.D. degree from the University of Tokyo. He holds a Master of Science degree from the University of Tokyo and a Bachelor of Science degree from the Japan Meteorological College.
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