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Professor, Department of Data Science, Graduate Graduate School of Data Science, Yokohama City University
Doctor of Information Science(Mar, 2001, Tohoku University)

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Aki-Hiro SATO works as a Professor at the Department of Data Science, Graduate School of Data Science. Aki-Hiro SATO graduated from Tohoku University, Japan, in 1997 and received a Doctor of Information Sciences in Graduate School of Information Sciences from Tohoku University, Sendai, Japan 2001. He worked with Dr. H. Takayasu and Dr. Y. Sawada on stochastic processes and nonlinear dynamics with applications in financial markets and agent-based modeling during his Ph.D. studies. From 2000 to 2001, he worked as a Doctoral Fellow of the Japan Society for the Promotion of Science at the Research Institute of Electrical Communication of Tohoku University. From 2001 to 2006, he worked as a Research Associate at the Graduate School of Informatics, Kyoto University. He was an Assistant Professor at the Graduate School of Informatics, Kyoto University, Kyoto, Japan, from 2007 to September 2017. He was a research fellow at Canon Institute for Global Studies from February 2015 to December 2017. He was a Project-Specific Associate Professor at the Graduate School of Informatics, Kyoto University, Kyoto, Japan, from October 2017 to March 2019. He has been a PRESTO Researcher at Japan Science and Technology Agency since October 2015, a Project Professor at Yokohama City University since April 2019, and a Guest Professor at Statistical Research and Training Institute, Ministry of Internal Affairs and Communications. A.-H. Sato's research is concerned with issues of microscopic dynamics and statistical properties in complex socio-economic systems. His research methodology is of data-driven investigation, recently enabled by the development and spread of information and communication technology. From a practical point of view, risk assessment of complex socio-economic systems is a crucial issue in making our decisions in actual environments. A.-H. Sato's current interests are in understanding both external and internal environments of our society, such as cognitive patterns and collective response to external fields such as financial markets, production-consumption of goods and services driven by demand-supply imbalance, risk assessments under uncertain environments, and so forth. He attempts to shed light on these problems from viewpoints of similarity, causality, and universality. His recent other interests are related to the data-driven system design to rebuild our society from the man-machine point of view based on Grid Square statistics.



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