Prof. Shi Jin

Shanghai Jiao Tong University, China

Director of Institute of Natural Sciences, and Chair Professor of Mathematics, at Shanghai Jiao Tong University

Foreign Member of Academia Europaea and a Fellow of European Academy of Sciences

Biography:

Shi Jin is the Director of Institute of Natural Sciences, and Chair Professor of Mathematics, at Shanghai Jiao Tong University. He also serves as a co-director of the Shanghai National Center for Applied Mathematics, director of Ministry of Education Key Lab on Scientific and Engineering Computing, and director of Shanghai Jiao Tong University Chongqing Artificial Intelligence Institute. He received a Feng Kang Prize of Scientific Computing in 2001., a Morningside Silver Medal in 2007. He is an inaugural Fellow of the American Mathematical Society (AMS) (2012), a Fellow of Society of Industrial and Applied Mathematics (SIAM) (2013), an inaugural Fellow of the Chinese Society of Industrial and Applied Mathematics (CSIAM) (2020), and an Invited Speaker at the International Congress of Mathematicians in 2018. In 2021 he was elected a Foreign Member of Academia Europaea and a Fellow of European Academy of Sciences. In 2024 he was awarded a Shanghai Natural Science Prize (first class). His research interests include kinetic theory, hyperbolic conservation laws, quantum dynamics, uncertainty quantification, interacting particle systems， computational fluid dynamics, machine learning and quantum computing, etc.

Prof. Wanyang Dai

Nanjing University, China

Chief Scientist at Su Xia Control Technology

President and CEO of U.S. based (blochchain and quantum computing) SIR Forum (Industial 6.0 Forum)

Biography:

Wanyang Dai is a Distinguished Professor in Mathematics School of Nanjing University, Chief Scientist at Su Xia Control Technology, President and CEO of U.S. based (blochchain and quantum computing) SIR Forum (Industial 6.0 Forum), a Special Guest Expert in Jiangsu FinTech Research Center, President of Jiangsu Probability & Statistics Society, Chairman of Jiangsu Big Data-Blockchain and Smart Information Special Committee, where his research includes stochastic processes related big model and quantum computing, artificial intelligence and machine learning, optimization and optimal control, admission/scheduling/routing protocols and performance analysis/optimization for various projects in BigData-Blockchain oriented quantum-cloud computing and the next generation of wireless and wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and their applications to queueing systems, stochastic differential games, communication networks, Internet of Things, financial engineering, energy and power engineering, etc. His "influential" achievements are published in "big name" journals including Journal of Applied Statistics, Probability in the Engineering and Informational Sciences, Quantum Information Processing, Operational Research, Operations Research, Computers & Mathematics with Applications, Communications in Mathematical Sciences, Journal of Computational and Applied Mathematics, Queueing Systems, Mathematical and Computer Modeling of Dynamical Systems, etc. His researches are awarded as outstanding papers by various academic societies, e.g., IEEE Top Conference Series, etc.. 

Prof. Bo Li

Central China Normal University, China

Associate Dean at the School of Mathematics and Statistics, Central China Normal University

Biography:

Prof. Li Bo, born in July 1977 in Wuhan, Hubei Province, is a distinguished scholar currently serving as a professor, doctoral supervisor, and associate dean at the School of Mathematics and Statistics, Central China Normal University. He earned his Ph.D. in Probability and Statistics from Wuhan University in 2004, where he also completed his M.S. and B.S. degrees, graduating summa cum laude under the mentorship of Prof. Luqin Liu. His doctoral research focused on the last exit time of symmetrical Markov processes and related problems. Professor Li's research encompasses a wide range of topics including educational big data, applied statistics, mathematical modeling, stochastic processes such as Markov, Gaussian, α-stable, and diffusion processes, probability theory and its applications, asymptotic behavior, limit theorems, and equilibrium potentials in probability potential theory. He has led multiple projects funded by the National Natural Science Foundation of China and Hubei Province universities, and has published over 70 research papers. With a strong foundation in both theoretical and applied aspects of probability and statistics, Professor Li gained valuable international experience during a year-long academic visit at the Department of Statistics and Probability at Michigan State University. His ongoing work continues to make significant contributions to the advancement of probability theory and stochastic processes, balancing methodological innovation with practical applications.