Prof. Shanjian Tang

Fudan University, China

Biography

Prof. Shanjian Tang, the School of Mathematical Sciences at Fudan University. Born in April 1966 in Wulian County, Shandong Province. He obtained his bachelor's and master's degrees from the Department of Mathematics at Shandong University in 1987 and 1990, respectively, and received his PhD from the Institute of Mathematics at Fudan University in 1993. He has served as a council member of the Chinese Society for Industrial and Applied Mathematics and as the chairman of the Mathematics Committee for Systems and Control of the same society. In 2021, he was elected as a fellow of the Chinese Society for Industrial and Applied Mathematics.His main research interests include stochastic control theory and backward stochastic differential equations. He has solved the existence and uniqueness of solutions for backward stochastic Riccati equations and established the linear quadratic optimal control theory with stochastic coefficients. 

Prof. Dong Shen

Renmin University of China

Biography

Wu Yuzhang Distinguished Professor at Renmin University of China. He has previously worked at the Institute of Automation, Chinese Academy of Sciences, and Beijing University of Chemical Technology. He has also conducted academic visits at the National University of Singapore and RMIT University in Australia. His research interests include intelligent learning control, control and optimization of stochastic systems, and distributed artificial intelligence. He is currently the deputy chair of the Data-Driven Control, Learning, and Optimization Committee of the Chinese Association of Automation.

Prof. Yang Xiang

Hong Kong University of Science and Technology (HKUST), China

Biography

Professor Xiang Yang from the Department of Mathematics at the Hong Kong University of Science and Technology has research interests in computational mathematics and the theory and applications of machine learning, with applications in cutting-edge fields such as artificial intelligence and materials science. Professor Xiang has made a series of significant and original contributions in areas including image segmentation based on deep neural networks and high-performance computing, as well as modeling and computation of material structures related to defects. He was also the keynote speaker at the 2021 conference on mathematical problems in materials science organized by the Society for Industrial and Applied Mathematics (SIAM) in the United States. In the field of artificial intelligence, Professor Xiang's work primarily focuses on developing more accurate models based on deep neural networks and high-performance computing, tailored to the characteristics of images and research problems, as well as improving the computational efficiency and convergence speed of deep neural networks through numerical methods.

Prof. Samad Noeiaghdam

Henan Academy of Sciences, China

Biography

Prof. Samad Noeiaghdam, PhD of Applied Mathematics, Research Professor of Henan Academy of Sciences, Zhengzhou, China and Senior Researcher of Irkutsk National Research technical University, Russia. His main research interests are numerical analysis, solving mathematical models, energy system problems, load leveling in energy storage, supply and demand systems, MHD and heat and mass transfer problems. He has published several high quality papers in top journals as well as books, chapters and conference papers. Because of his high level activities in research and contribution to mathematical advancement globally he has been acknowledged as one of the top 2% scientists by Stanford University. He is the member of editorial board and guest editor in various journals and special issues.