Prof. Wanyang Dai, Nanjing University, China

Wanyang Dai is a Distinguished Professor in Nanjing University, Member of Jiangsu AI 50 Person ThinkTanks, Chief Scientist in Su Xia Control Technology. He is the President & CEO of International (Blockchain & Quantum-Computing) SIR Forum, Director of Jiangsu BigData-Blockchain and Smart Information Special Committee, Director of Probability and Statistics Special Committee of Jiangsu Mathematical Society, Supervisor Board Chairman of Jiangsu Applied Statistics Society. He received his Ph.D. in mathematics and systems & industrial engineering from Georgia Institute of Technology in USA. He was an MTS and principal investigator in U.S. based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called big model smart AI agents cloud system. He holds one “Invention Patent” and published numerous influential papers in big name journals including Journal of Applied Statistics, Probability in the Engineering and Informational Sciences, Quantum Information Processing, Operational Research, Operations Research, Mathematics, AIMS Mathematics, Computers & Mathematics with Applications, Communications in Mathematical Sciences, Journal of Computational and Applied Mathematics, Queueing Systems, Mathematical and Computer Modeling of Dynamical Systems, etc. He received various academic awards and has presented over 90 keynote/plenary speeches in IEEE/ACM, power and energy system, big data and cloud computing, digital economy and intelligent computing, artificial intelligence and robot, quantum computing and communication technology, bioinformatics & biomedical engineering, neural computing and brain-computer interface (BCI), protein production and diagnosis, etc. He is an Editor of AIMS Mathematics, the Guest Editor of AIMS Mathematics Special Issue of Quantum Computing, AI Mathematics, and Stochastics with Applications, the Guest Editor of MDPI Mathematics Special Issue of Probability Statistics, a Guest Editor of (Springer Journal) Mobile Networks and Applications, an Associate Editor of (Elsevier Journal) Results in Applied Mathematics, and an Associate Editor of Quantum Research.

Dr. Chengzhi Liu, China Huadian Engineering Co., Ltd., China

Dr. Chengzhi Liu is the Chief Data Officer of China Huadian Engineering Co., Ltd. He has long been engaged in research and practice in artificial intelligence, big data, data governance, digital twins, the Internet of Things, cloud computing, and the digital and intelligent transformation of the energy and power sector. He is responsible for advancing the company’s AI and data strategy, and has played a key role in China Huadian's "AI+" special action plan, promoting the deep integration of AI technologies, data resources, and energy and power business scenarios.

Dr. Liu conducted postdoctoral research at the Norwegian University of Science and Technology. He has also held senior positions such as Chief Data Officer and Global Head of Data in internationally recognized enterprises and Fortune Global 500 companies, accumulating extensive international strategic management experience and strong technical expertise. He currently serves as an expert and committee member in organizations including the China Electricity Council, the Chinese Society for Electrical Engineering, and the China Information Association.

Combining theoretical research, technological innovation, business insight, and organizational management capabilities, Dr. Liu is committed to driving the development of AI and data systems across the full process from strategic planning and architecture design to scenario implementation and value realization, enabling the digital and intelligent transformation and high-quality development of energy and power enterprises through data intelligence.

Asst. Prof. Xiaohan Yu, Macquarie University, Australia

Dr. Xiaohan Yu is an Assistant Professor in the School of Computing at Macquarie University, Sydney, Australia. He is also an Adjunct Research Fellow at the ARC Research Hub for Driving Farming Productivity and Disease Prevention. He serves as an Associate Editor of Pattern Recognition (a Q1 Top journal ranked by the Chinese Academy of Sciences). He received the 2022 Early Career Researcher Award from the Australian Pattern Recognition Society (one of three recipients nationwide) and the 2024 Outstanding Area Chair Award from ACM Multimedia (a CCF A-ranked international conference). His research focuses on the intersection of artificial intelligence and smart agriculture. He pioneered Ultra-Fine-Grained Visual Categorization (Ultra-FGVC) and applied it to automated plant cultivar-level identification. He has published more than 50 papers in top-tier journals and conferences, including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), ICML, and CVPR.