 | Prof. Wanyang DaiNanjing University, China Prof. Wanyang Dai is a Distinguished Professor in Nanjing University, 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, Supervisor Board Chairman of Jiangsu Applied Statistics Society, (past and currently honorable) President of Jiangsu Probability and 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”. He published numerous influential papers in big name journals including Journal of Applied Statistics, Mathematics, Probability in the Engineering and Informational Sciences, Quantum Information Processing, Operations Research, Operational Research, Queueing Systems, Computers & Mathematics with Applications, Communications in Mathematical Sciences, Journal of Computational and Applied Mathematics, Mathematical and Computer Modelling of Dynamical Systems. He received various academic awards and has presented over 80 keynote/plenary speeches in IEEE/ACM, power and energy system, big data and cloud computing, artificial intelligence and robot, quantum computing and communication technology, computational and applied mathematics, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief and editorial board members for various international journals ranging from artificial intelligence, quantum computing, machine learning, data science, wireless communication, pure mathematics & statistics to their applications. He is an Editor of AIMS Mathematics, 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. Title: Quantum computing for AGI/world model with OAM-based Q-Transformer |
| Prof. Lin ChenMacao Polytechnic University, China Prof. Lin Chen is currently working at the Macao Polytechnic University. His main research areas include distributed learning and algorithm design in networks, information security and privacy protection, and he has many years of research experience in the fields of the Internet of Things, mobile computing, and green communications. He has published two monographs and over 100 papers, including papers in top journals and conferences such as IEEE/ACM TON, IEEE JSAC, and IEEE TMC. Since 2015, he has served as the chair of the IEEE Working Group on Green Cognitive Communication and Computing, and an editor of the international journals IEEE Systems Journal and Wireless Communications and Mobile Computing. He has also served as a guest editor for five special issues of leading journals in the field, including IEEE Wireless Communications. He is a member of the French University College (class of 2018) and received a bronze medal from the National Centre for Scientific Research (CNRS) in 2018. Title: Entanglement distribution in quantum networks - An algorithmic perspective |
 | Assoc. Prof. Morteza Saberi KamarposhtiSunway University, Malaysia Assoc. Prof. Morteza Saberi Kamarposhti is currently a faculty member at the Faculty of Engineering and Technology (FET) at Sunway University, Malaysia, and a Senior Member of IEEE. He also serves as Chair of the Centre for Cybersecurity and Quantum Computing at Multimedia University (MMU). Passionate about cutting-edge technologies, he focuses on cybersecurity, quantum computing, the Internet of Things (IoT), and post-quantum cryptography. His work extends beyond traditional computing, exploring innovative applications of artificial intelligence and machine learning in environmental science. As a leading researcher, he is committed to advancing the intersection of these fields to address complex challenges and drive technological innovation. Title: Beyond Classical Limits: Post-Quantum Cryptography and Quantum Machine Learning as the Twin Pillars of Next-Generation Cyber Resilience" |
 | Dr. Zipeng WuSpinQ Technology Inc., 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. Title: Machine Learning and Quantum Error Correction: From Code Discovery to Real-Time Decoding |
