Track 1: Data Science and Computing

Track 1: Data Science and Computing

Prof. Naoyuki Ishimura, Chuo University, Japan
Prof. Takahiko Fujita, Chuo University, Japan

Prof. Naoyuki Ishimura was born in Tokushima, Japan in 1964. He obtained his bachelor's degree of Physics in 1986 and master's degree of Mathematics in 1989 both at University of Tokyo, Japan. He obtained his PhD from University of Tokyo in 1993 with the title ''Analytic properties of mean curvature flows." He was Research Associate of Mathematics at University of Tokyo from 1989 to 1996. He moved to Hitotsubashi University, Japan as Associate Professor of Mathematical Sciences from 1996 and became full Professor from 2005. His interest gradually involves Mathematical Finance and he was a director of CFEE (Center for Financial Engineering Education) at Graduate School of Economics, Hitotsubashi University from 2011 to 2015. He now moves to Chuo University from 2015. Prof. Ishimura is a member of JSIAM (Japan Society for Industrial and Applied Mathematics) and a representative of Mathematical Finance study group. His area of research includes the applied analysis, the theory of nonlinear partial differential equations, and the mathematical finance.

Prof. Takahiko Fujita (Faculty of Science and Engineering, Department of Industrial and Systems Engineering) will serve as Leader of the Japanese team at the 56th International Mathematical Olympiad (IMO) Thailand Competition, which will be held in July in Chiang Mai, Thailand. The IMO is a contest which seeks to encourage and expand the talent of students who are interested in arithmetic and mathematics. Established in 1959, the IMO is open to high school students and younger students from throughout the world. The contest is held in a different country every year. Professor Fujita also serves as Managing Director of the Mathematical Olympiad Foundation of Japan. At the IMO, Professor Fujita will lead the Japanese team of six high school students who posted outstanding results at the Japan Mathematical Olympiad.

Topics include, but are not limited to:

Mathematical foundation of data science
Stochastic analysis
Statistical method
Numerical analysis of big data
Computational method

Submission Guidelines:
1. Please submit your paper via
2. Or send via e-mail