Track 1: Data Science and Computing
专题1: 数据科学与计算

Track 1: Data Science and Computing

Chairs:
Prof. Xiangjie Kong, Zhejiang University of Technology, China
Prof. Naoyuki Ishimura, Chuo University, Japan
Prof. Takahiko Fujita, Chuo University, Japan

Dr. Xiangjie Kong received the B.Sc. and Ph.D. degrees from Zhejiang University, Hangzhou, China. He is currently a Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he is an Associate Professor in School of Software, Dalian University of Technology (DUT), China. He is a Founding Director of City Science of Social Computing Lab (http://cssclab.cn/). He has served as Academic Editor of PeeJ Computer Science (2018-), Academic Editor of Wireless Communications and Mobile Computing (2021-), Editor of KSII Transactions on Internet and Information Systems (2016-), (Leading) Guest Editor of several international journals including Pervasive and Mobile Computing (2018), International Journal of Distributed Sernsor Networks (2015), Future Internet (2019) etc., Workshop Chair or PC Member of a number of conferences including ICC, IEEE BigData, UIC, COMPLEX NETWORKS, etc.. Dr. Kong has authored/co-authored over 130 scientific papers in international journals and conferences including IEEE TKDE, ACM TKDD, WWW, etc.. He is the recipient of the Best Land Transportation Paper Award of IEEE VTS 2020, and the Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholars. His research has been reported by Nature Index and other medias. He has contributed to the development of 12 copyrighted software systems and 20 filed patents. He has an h-index of 35 and a total of more than 4000 citations to his work according to Google Scholar. His research interests include big data, network science, and computational social science. He is a Senior Member of IEEE and CCF, a Full Member of Sigma Xi, and a Member of ACM.



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 https://www.zmeeting.org/submission/icmlsc2023.
2. Or send via e-mail icmlsc@163.com.