Tomoyuki HIGUCHI
Director-General
Professor, Spatial and Time Series Modeling Group, Department of Statistical Modeling;
Data Assimilation Research Group, Prediction and Knowledge Discovery Research Center
E-mail: higuchi
Personal
Homepage:		 http://www.ism.ac.jp/~higuchi/
Date of Birth: September, 1961
Education: Bachelor of Science, Faculty of Science, Univ. of Tokyo, 1984
Master of Science, Graduate School of Science, Univ. of Tokyo, 1986
Doctor of Science, Graduate School of Science, Univ. of Tokyo, 1989
Degree: Doctor of Science, Univ. of Tokyo, 1989, Title of Doctoral Thesis: Quantitative Analysis of Turbulent Fluctuations in the Magnetosheath.
Employment: 1989-1994, Assistant Professor, Division of Statistical Prediction, Department of Prediction and Control, The Institute of Statistical Mathematics
1994-2002, Associate Professor, Division of Statistical Prediction, Department of Prediction and Control, The Institute of Statistical Mathematics
2002-2005, Professor, Division of Systems Analysis, Department of Prediction and Control, The Institute of Statistical Mathematics
2005-2011, Vice Director-General, Professor, Department of Statistical Modeling; Prediction and Knowledge Discovery Research Center, The Institute of Statistical Mathematics
2011-Present, Director-General, Professor, Department of Statistical Modeling; Prediction and Knowledge Discovery Research Center, The Institute of Statistical Mathematics
Research
Fields:		 Bayesian modeling, Time Series Analysis, Discovery Science
Research
Themes:		 Knowledge discovery form large-scale database, Computational approach to non-linear non-Gaussian time series models, Statistical analysis of DNA array data, Micromarketing with hierarchical Bayesian models, Sequential data assimilation methods, Application of kernel machines

Selected Papers
(1) T. Higuchi (1988): Approach to an irregular time series on the basis of the fractal theory, Physica D, 31 , 277-283.
(2) T. Higuchi (1997): Monte Carlo filter using the Genetic algorithm operators, Journal of Statistical Computation and Simulation, 59 , 1-23.
(3) T. Higuchi, and S. Ohtani (2000): Automatic identification of a large-scale field-aligned current structures , Journal of Geophysical Research, 105 , 25305-25315.
(4) S. Imoto, T. Higuchi, T. Goto, K. Tashiro, S. Kuhara, S. Miyano (2003): Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks , Proceedings of 2003 IEEE Computer Society Bioinformatics Conference , 104-113.
(5) T. Ishigaki, T. Higuchi, K. Watanabe (2007): An information fusion based multi-objective security system with a multiple-input/single-output sensor , IEEE Sensors Journal, 7, 5 , 734-742.

Selected Publications
(1) T. Higuchi, et al. (1999): Processing of time series data obtained by satellites, The Practice of Time Series Analysis , Springer-Verlag New York, 313-326.
(2) T. Higuchi, et al. (2001): Self-organizing time series model, Sequential Monte Carlo Methods in Practice , Springer-Verlag New York, 429-444.

Membership of Academic Societies
Japan Statistical Society, IEICE, Japanese Society for AI, The Society of Geomagnetism and Earth, Planetary and Space Sciences, Japanese Society for Bioinformatics, Japan Institute of Marketing Science, American Statistical Association, International Statistical Institute, American Geophysical Union

Professional Services
Japan Statistical Society (General affairs manager), IASC ARSiAdvisorsj

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