Prof. Yan is currently the Chair Professor of Management Sciences and the Director of M.Sc. in Accounting and Finance with AI and Fintech Applications, City University of Hong Kong. He was Dean of Business at the City University of Hong Kong, Professor at The Chinese University of Hong Kong (CUHK), and a cofounder of CUHK spin-off technology company. He was an Associate Director and Science Advisor for the Hong Kong R&D Center for Logistics and Supply Chain Management Enabling Technologies. He has also worked as an Associate Professor at the School of Management, University of Texas at Dallas. Professor Yan is a celebrated researcher winning a number of awards and recognitions over the years. Professor Yan’s main research areas are stochastic models, machine learning and algorithms, risk modelling and analysis, and supply chain management. He received his B.Sc. and M.Sc. from Tsinghua University, both in electrical engineering, and his Ph.D. from the University of Toronto in business. He is a member of Hong Kong Academy of Finance.

Prof. Yao, Piyasombatkul Family Chair Professor of IEOR at Columbia University, is a member of the National Academy of Engineering, an IEEE Fellow, an INFORMS Fellow, and a Guggenheim Fellow. He was an Associate Professor at Harvard. He holds eight U.S. patents in collaboration with the IBM Thomas J. Watson Research Center at Yorktown Heights. He has managed over 30 government and industrial grants.

Prof. Wang obtained his Bachelor and Master Degree from Wuhan University, and Ph.D. Degree from Illinois Institute of Technology. His research interests include data and computation outsourcing security in the context of cloud computing, blockchain and decentralized application, network security in emerging Internet architecture, multimedia security, and privacy-enhancing technologies in the context of big data and IoT. His research has been supported by multiple government research fund agencies, including National Natural Science Foundation of China, Hong Kong Research Grants Council, and Hong Kong Innovation and Technology Commission, as well as Amazon Web Services, and Microsoft Azure.

Prof. Liu received his B.Sc. in Applied Mathematics from Tsinghua University and his Ph.D. from Hong Kong University of Science and Technology. His research interests include financial engineering, risk management, stochastic simulation, machine learning and business analytics.

Prof. Feng is an Associate Professor of Business Statistics at City University of Hong Kong. His research work has been published or accepted at the Journal of Finance and Journal of Econometrics. His research work has received major academic and practitioner awards, including the 2018 AQR Insight Award, 2nd Prize of the 2019 Crowell Prize, Unigestion Alternative Risk Premia Research Grant Award, INQUIRE Europe Research Grant Award, and PwC 3535 Finance Forum Annual Best Paper Award. Also, Prof. Feng has been invited to present at major academic conferences (AFA, CICF, Informs, and SoFie) and practitioner conferences (CQAsia, Wolfe Research, and INQUIRE Europe). He obtained his Ph.D. and M.B.A. degrees from The University of Chicago in 2017. His research interests include financial time series, empirical asset pricing, machine learning, and quantitative finance.

Prof. Jia is IEEE Fellow (Computer Society) and ACM distinguished member. He received his B.Sc. (1984) and M.Eng (1987) from University of Science and Technology of China, and his DSc (1991) from The University of Tokyo. His research interests include wireless networking, sensor networks, distributed systems and Cloud computing, Internet and web technologies.

Prof. Liu received his Bachelor of Science degree in Internet and Multimedia Technologies and the Ph.D. degree in Network Science from The Hong Kong Polytechnic University. Before joining City University of Hong Kong, he was an Associate Professor and the Head of the Computer Engineering Department at Southeast University, Nanjing, China. He is also affiliated with Prof. Jonathan Zhu’s Web Mining Lab, which is housed inside the Department of Media and Communication.

Prof. He is an Associate Professor of Department of Decision Analytics and Operations and Department of Economics and Finance at the City University of Hong Kong. He received Ph.D., M.B.A., and M.S. from The University of Chicago, and B.S. from University of Science and Technology of China. His research interests include machine learning in finance, empirical asset pricing, financial econometrics and Bayesian statistics. His research work has appeared in leading statistics, finance and econometrics journals.

Prof. Song is an Assistant Professor in the Computer Science Department at City University of Hong Kong. He received his Ph.D. Degree in Electrical Engineering from University of California, Los Angeles, and his B.Sc. and M.Sc. Degrees from Tsinghua University. His research interests include Artificial Intelligence (with applications in Natural Language Processing, FinTech, Federated Learning), Information Theory, Machine Learning, and Big Data.

Prof. Xie is Professor of School of Business at Shanghai University of Finance and Economics. He received his PhD in Operations Management from Duke University in 2010, M.P. in Systems Engineering and Engineering Management from Chinese University of Hong Kong in 2005. His research includes revenue management, operations analytics, inventory management, supply chain finance and insurance.

Prof. Hong is currently the Deputy Dean of School of Data Science and Head of Management Science Department at Fudan University. His research focuses on the areas of operations research, data science, and financial engineering and risk management. He has won numerous awards, including Outstanding Research Award from Operations Research Society of China, Outstanding Simulation Publication Award from INFORMS Simulation Society, Operations Best Paper Award from Institute of Industrial Engineers, etc. Prof. Hong is currently an Area Editor of Operations Research, the Associate Editor-in-Chief of Journal of Operations Research Society of China, an Associate Editor of Management Science and ACM Transactions on Modeling and Computer Simulation, and the President of INFORMS Simulation Society.

Prof. Ma is Professor of College of Management and chairs the department of E-Commerce at Shenzhen University. He received the PhD degree in Systems Engineering and Engineering Management from The Chinese University of Hong Kong in 2007. His current research interests include logistics and supply chain management, service management. His work has been published in journals, such as Decision Sciences, Annals of Operations Research, European Journal of Operational Research, Omega, International Journal of Production Economics, International Journal of Production Research, and Operations Research Letters. He also serves as an Associate Editor for Modern Supply Chain Research and Applications. His research is funded by various grants such as National Natural Science Foundation of China (NSFC), Natural Science Foundation of Guangdong (NSFG), Natural Science Foundation of Shenzhen (NSFS), etc.

Prof. Xia received the Bachelor and the Ph.D. Degree in Control Theory both from Tsinghua University. He is currently a Professor with the Business School, Sun Yat-Sen University. He was an Assistant Professor at Tsinghua University. He was a visiting scholar at Stanford University, The Hong Kong University of Science and Technology, etc. He serves as an Associate Editor of IEEE Transactions on Automation Science and Engineering, Discrete Event Dynamic Systems, Energy Informatics, etc. His research interests include the methodology research in stochastic learning and optimization, Markov decision processes, reinforcement learning, queueing theory, game theory, and the application research in energy systems, smart building, financial technology, etc.

Prof. Zhu is the Professor in Sun Yat-Sen Business School at Sun Yat-Sen University. He received his Bachelor’s and Master’s Degrees in mathematics from Xiangtan University, and his Ph. D. from Chinese Academy of Sciences. He worked in the School of Management of Fudan University. His current research interests include portfolio optimization, financial contagion, systemic risk and operations research, et al. He has published over 50 technical papers in these areas.