| Prof. Wanyang DaiNanjing University, China 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, 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.. He has one Invention Patent approved by China National Intellectual Property Administration in 2024 and one Technology Transfer approved by (U.S.A.) Bell Labs (Now called Nokia Bell Labs) during 1998-1999. He received his Ph.D degree in applied mathematics jointly with industrial engineering and systems engineering from Georgia Institute of Technology, Atlanta, GA, U.S.A., in 1996, where he worked on stochastics and applied probability concerning network performance modeling and analysis, algorithm design and implementation via stochastic diffusion approximation. The breakthrough results and methodologies developed in his thesis were cited, used, and claimed as “contemporaneous and independent” achievements by some other subsequent breakthrough papers that were presented as “45 minute invited talk in probability and statistics” in International Congress of Mathematicians (ICM) 1998, which is the most privilege honor in the mathematical society. The designed finite element-Galerkin algorithm to compute the stationary distributions of reflecting Brownian motions (weak solutions of general dimensional partial differential equations) is also well-known to the related fields. |
| Prof. Zipeng WuSpinQ, China Dr. Zipeng Wu is the CEO and Head of Algorithm Research at SpinQ Technology Inc. (Hong Kong). He graduated from the Department of Physics at Tsinghua University in 2019 with a Bachelor's degree and received his PhD in Physics from the Hong Kong University of Science and Technology in 2024. His research interests include quantum algorithms and quantum error correction, and he has published nine related academic papers. Currently, he focuses on research and application exploration in quantum computing and related cutting-edge fields. |
