Biography: Dr. Bing Wang is a Professor at the School of Mathematical Sciences, University of Science and Technology of China. He earned his PhD in Mathematics from the University of Wisconsin–Madison (2008) after completing his undergraduate studies in a special program for gifted students at the same university in China. His academic career includes roles as Assistant and Associate Professor at the University of Wisconsin–Madison, Research Assistant Professor at the Simons Center for Geometry and Physics, SUNY Stony Brook, and Instructor at Princeton University. His research focuses on advanced mathematical sciences, contributing significantly to both teaching and research in the field.

Biography: Dr. Qiu Daowen is a Professor at Sun Yat-sen University, specializing in quantum computation, quantum information, and discrete event systems. He earned his PhD in Mathematics from Sun Yat-sen University and completed postdoctoral research at Tsinghua University. With over 200 publications, his work spans quantum automata, quantum algorithms, quantum cryptography, and distributed quantum computing. He has made significant contributions to quantum finite automata theory, quantum query complexity, and quantum state discrimination. His research also integrates fuzzy and probabilistic automata with supervisory control systems. He serves on multiple editorial boards and has led numerous nationally funded research projects.

Biography: Po-Heng (Henry) Lee's team specialises in resource recovery, greenhouse gas reduction, and enhancing human health through the application of environmental technologies, including anaerobic sewage treatment, anaerobic digestion, fermentation, and anaerobic ammonium oxidation (Anammox), and water reuse for a cooling system in the AI centre and semiconductor manufacturing applications. His research and teaching have primarily focused on three key areas: 1) overcoming classical energetics limitations by enhancing electron transfer efficiency, via hopping and tunnelling, 2) applying quantum information theory to microbial metabolism and gene regulation, and 3) water reuse and cooling system optimisation—both within Water Centres and in semiconductor manufacturing applications

Biography: Dr. Wanyang Dai is a Distinguished Professor at Nanjing University and a leading expert in applied mathematics, quantum computing, and artificial intelligence. He serves as Chief Scientist at Su Xia Control Technology and leads the U.S.-based SIR Forum on blockchain and quantum computing. He earned his PhD from Georgia Institute of Technology and previously worked at AT&T Bell Labs as a principal researcher. His work spans stochastic processes, optimization, big data, and communication systems. With numerous publications in top journals and awards from academic societies, he has also contributed to patents and technology transfer. He actively serves as editor, keynote speaker, and research leader globally.