Prof. Yan was Dean of Business, City University of Hong Kong. He is currently the Chair Professor of Management Sciences, and the director of M.Sc. in Accounting and Finance with AI and Fintech Applications. He was 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. Zhu, Chair Professor of Computational Social Science at City University of Hong Kong, is a Fellow of International Communication Association (ICA). His research interests include online social networks, sustainability of social media, diffusion and use of social computing. He develops and applies computational social science approaches to diffusion of innovations, use and impact of new technologies, and formation and dissolution of social networks.

Dr. Wu, Associate Professor of School of Data Science at City University of Hong Kong, is a quantitative finance researcher and has worked in investment banks Lehman Brothers, UBS, and DTCC.

His research appeared in top-tier journals including Management Science and Mathematical Finance with a focus in AI applied to finance. He is currently working on machine learning approach to financial risk management, term structure modelling in low interest rate environment, incentive analysis in matching and sharing platforms.

Prof. Chen received his B.Eng. and M.Sc. degrees from the Department of Electronic Engineering at Tsinghua University and his Ph.D. degree from the Department of Electrical Engineering and Computer Sciences at University of California Berkeley. He was with Microsoft Research Redmond and Department of Information Engineering, The Chinese University of Hong Kong, before joining the School of Data Science, City University of Hong Kong as a Professor in 2019. He also received several best paper awards, including IEEE ICME Best Paper Award in 2009, IEEE Transactions on Multimedia Prize Paper Award in 2009, and ACM Multimedia Best Paper Award in 2012. Prof. Chen’s recent research interests include online optimization and algorithms, machine learning in networked and societal systems, and capitalizing the benefit of data-driven prediction in algorithm/system design.

Prof. Chen joined as a Researcher. He is Professor of Systems Engineering and Engineering Management at The Chinese University of Hong Kong (CUHK). He has published in top journals and referred conference proceedings in the fields of operations research and quantitative finance, such as Review of Financial Studies, Journal of Econometrics, Operations Research, Mathematics of Operations Research, Mathematical Finance, Finance and Stochastics, Journal of Economic Dynamics and Control. His research is supported by the scheme of General Research Fund, Hong Kong Research Grant Council. He is the Director of the Bachelor of Engineering Program in Financial Technology at CUHK and the director of Master of Science Program in Financial Engineering at CUHK, Shenzhen. He received his Ph.D. in operations research from Columbia University, and M.Sc. and B.Sc. in probability and statistics from Peking University, Beijing.

Dr. Dong joined as a Researcher. She received her Ph.D. degree in Electrical Engineering from University of Southern California in 2016, and her B.Eng. degree in Electronic Engineering from Tsinghua University in 2011. Before joining City University of Hong Kong, she was a post-doc in Electrical Engineering at Stanford University. Her research interests are process data analytics, high-dimensional time series modelling, statistical machine learning, smart manufacturing and new material design.

Dr. Feng joined as a Researcher. He is an Assistant Professor of Business Statistics at City University of Hong Kong. He is also the program leader of M.Sc. in Business Data Analytics (Quantitative Analysis for Business stream). 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, Dr. 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.

Dr. Leung is Associate Professor at Department of Information Systems, College of Business, City University of Hong Kong. His research interests lie at the intersection of IS and Finance. His current research primarily focuses on IT business value, business analytics and information security. His teaching objective is to bring his research into class. He is interested in teaching business strategies and introducing new information technologies to enhance corporate competitive advantages. His works have been published in various leading IS journals and international conference proceedings. He currently serves as Associate Editor for Decision Support Systems and the Communications of the AIS.

Prof. Li joined as a Senior Researcher. He received his Ph.D. in Finance from Washington University in St. Louis. He has taught in The Chinese University of Hong Kong before joining City University of Hong Kong. His main research interests include credit risk modelling, volatility modelling, and asset pricing.

Prof. Li joined as a Researcher. He is an Associate Professor in the Department of Information Systems at City University of Hong Kong. He has more than 110 publications in MISQ, ISR, JMIS, INFORMS JOC, DSS, I&M, JASIST, IJEC, IEEE/ACM Transactions, Nature Nanotechnology, Bioinformatics, among others. He has received about 30 external and internal grants as PI and Co-I. He is a senior member of IEEE, and ACM, and a member of INFORMS and AIS.

Prof. Li is Head of Department of Marketing, Professor of Marketing and Management Sciences, and Director of Fintech and Business Analytics Centre (FBAC) at the College of Business, City University of Hong Kong. He received a bachelor’s degree in Computer Science from Tsinghua University and his Ph.D. in Industrial Engineering and Engineering Management from Hong Kong University of Science and Technology. His research interests include (1) Decision analytics for marketing, logistics, and supply chain; and 2) Interface research between Operations and Marketing, such as pricing, assortment planning, channel management, and advertising. His papers have appeared in journals such as Marketing Science, Manufacturing & Service Operations Management, Operations Research, and Production and Operations Management. Prof Li has provided consulting services to firms in Hong Kong and mainland China and is currently working on data-driven projects spanning marketing, logistics, retailing, and health care operations.

Prof. Liu joined as a Senior Researcher. He 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.

Dr. 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. Qin joined as a Senior Researcher. He obtained his B.Sc. and M.Sc. degrees from Tsinghua University in Beijing, China, in 1984 and 1987, respectively, and his Ph.D degree from University of Maryland at College Park in 1992. He is currently Chair Professor of Data Science at the City University of Hong Kong. His research interests include data analytics, machine learning, latent variable methods; high-dimensional time series latent variable modelling, process monitoring and fault diagnosis, model predictive control, system identification, semiconductor manufacturing control, and data-driven control and optimization. He has over 400 publications in international journals, book chapters, conference papers, and conference presentations with peer-reviewed abstracts. He delivered over 50 invited plenary or keynote speeches and over 120 invited technical seminars worldwide. He is a recipient of the National Science Foundation CAREER Award, the 2011 Northrop Grumman Best Teaching award at Viterbi School of Engineering, the DuPont Young Professor Award, Halliburton/Brown & Root Young Faculty Excellence Award, NSF-China Outstanding Young Investigator Award, and recipient of the IFAC Best Paper Prize for a model predictive control survey paper published in Control Engineering Practice. He served as Senior Editor of Journal of Process Control, Editor of Control Engineering Practice, Member of the Editorial Board for Journal of Chemometrics, and Associate Editor for several other journals.

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. 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. Wu joined as a Researcher (by courtesy). He is an Assistant Professor in the Department of Decision Sciences and Managerial Economics at The Chinese University of Hong Kong (CUHK) Business School. His main research fields are the operations-finance interface, economic networks, quantitative investment, and machine learning applications. Prior to joining CUHK, he served as an Assistant Professor in the Department of Management Sciences at College of Business, City University of Hong Kong (2016-2019). He also worked as a Quantitative Strategist at Deutsche Bank New York (2015-2016). He received his bachelor degree in Electronic Engineering from Tsinghua and both his MBA and Ph.D. (major in operations, minor in economics & finance) from Chicago Booth.

Dr. Wu joined as a Researcher. He received his B.A. and M.A. in Economics from Tsinghua University and Ph.D. in Finance from New York University. His research interest is asset pricing.

Prof. Yu joined as a Senior Researcher. He received his Ph.D. in Finance from University of Alberta. He is a Professor of Finance and also the Director (Executive Education) at the College of Business. His areas of research and teaching include corporate finance, mergers & acquisitions, financial accounting, and capital markets. He is a CFA charterholder. Prof. Yu is on board of directors for a number of listed companies in China and Hong Kong.

Dr. Yu joined as a Researcher. He received his Ph.D. degree from University of Minnesota, Twin Cities. His research focuses on supply chain management and service operations. This includes topics on optimal design of inventory-production systems, incentive issues in supply chains and pricing strategies. His research work has been published in leading business journals including Manufacturing & Service Operations Management, Marketing Science, Operations Research, and Production and Operations Management.

Prof. Yue is a Professor of Management Information Systems in the Department of Information Systems at City University of Hong Kong. He received his Ph.D. in Management Information Systems from Purdue University. Prior to joining City University of Hong Kong, he was a faculty member at The University of Texas, Dallas. His research interests focus on the economic and operational aspects of information security and information systems. His work has appeared in Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Decision Support Systems, and other journals.

Dr. Zhang received the B.Sc. degree in Automation from Huazhong University of Science and Technology in 2009, and the M.Sc. degree in Industrial Engineering and the Ph.D. degree in Systems and Industrial Engineering with a minor in Management Information Systems from The University of Arizona, in 2011 and 2012, respectively. His research interests include healthcare data analytics, medical informatics, network science, social computing, data mining, machine learning, and semantic web.

Dr. Zhang received his Ph.D. and M.Sc. degrees in Industrial Engineering from The University of Iowa, Iowa City, IA, USA, in 2012 and 2009, respectively, and B.Eng. degree in Systems Engineering and Engineering Management from The Chinese University of Hong Kong in 2008. His research focuses on data mining and computational intelligence with applications in modeling, monitoring, optimization and operations of systems in the renewable energy, energy saving, and intelligent transportation.

Prof. Zhou is a Professor and the Head of School of Mathematics and Statistics of The University of Sydney. He was the Chair Professor and Associate Dean of the School of Data Science of City University of Hong Kong. He obtained his Ph.D. in Applied Mathematics from Zhejiang University. His research interests include deep learning theory, deep neural networks, and applications of machine learning.

Dr. Zhou joined as a Researcher. He is an Assistant Professor of Management Sciences at the College of Business, City University of Hong Kong. Before joining City University of Hong Kong, he was a research staff at Beidu AI Group. He received his Bachelor Degree in Applied Math from University of California, Berkeley and Ph.D. degree in Statistics from University of California, Los Angeles. His current research interest includes random tensor theory, minimax theory of PCA and experimental design on network data. He is also interested in information retrieval, neural ranking and generative adversarial network.

Dr. Wang received his Ph.D. in Information Studies from Wee Kim Wee School of Communication and Information, Nanyang Technological University. His research converges at the intersection of communication, information, and technology, echoing his education background, an intersection of arts and technology. His research focuses on Consumer Health Informatics, Social Networks, Human-Computer Interaction, and Social Media.

Prof. Liang is an Associate Professor in the School of Journalism and Communication at The Chinese University of Hong Kong (CUHK). He is also a theme co-leader at the Computational Social Science Laboratory at CUHK and an affiliated member at the Web Mining Laboratory at City University of Hong Kong. His research interests include Computational social science, Political communication and Digital public health.

Dr. Sidhu is the Dean of the School of Science and Technology, IE University in Madrid Spain and the Director Emeritus, founding faculty director and chief scientist of UC Berkeley’s Sutardja Center for Entrepreneurship & Technology. He received his Bachelor’s Degree in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign, and his Masters’ Degree and Doctorate in Electrical Engineering from Northwestern University. Dr. Sidhu developed the Berkeley Method of Entrepreneurship, a teaching framework used at University of California, Berkeley as part of the Entrepreneurship & Technology area at the #1 university in the world.

Prof. Yang is Professor and Chair of Decision and System Sciences of The University of Manchester. He has conducted research throughout his career in the areas of evidential reasoning and probabilistic inference, multiple criteria decision analysis, data analytics, multiple objective optimisation, decision support systems, intelligent modelling, simulation and prediction, risk, safety and security analysis, performance analysis, new product development, production and resource management, etc.

Dr. Wang is an Associate Professor in the Department of Economics and Finance at City University of Hong Kong. He received his B.Sc. in Mathematics from University of Science and Technology of China and his Ph.D. in Economics from Brown University, USA. His main research interests include economic growth and development, macro and public economics, and general economic theory. His work has been published in, among others, Economic Journal, International Economic Review, Journal of Economic Theory, and Journal of Public Economics.

Prof. Chen is Chair Professor of Management Science at City University of Hong Kong. He was Head of Department of Management Sciences 2013 – 2020. His current research projects span from healthcare and service systems, logistics/supply chains, to machine learning applications in operations. Prof. Chen holds a Bachelor Degree in Engineering, Master Degree in Economics, and Doctoral Degree in Management from Tsinghua University (Beijing), The University of Waterloo, and The University of Toronto, respectively.

Prof. Zhang is the Department Head of Industrial Engineering and Decision Analytics (IEDA) of The Hong Kong University of Science and Technology (HKUST). His research interests are in the areas of service operations management, queueing system and applied probability. He is an outstanding scholar in the field of Stochastic Modelling and Optimization, Statistical Learning, Numerical Methods and Algorithm, as evidenced by publishing ten papers in leading journals of his discipline since his substantiation, including Management Science, Operations Research, and Mathematics of Operations Research. He has been serving as Associate Editor for Operations Research, Stochastic Systems, and Queueing Models and Service Management, and an editorial board member for Probability in the Engineering and Informational Sciences.

Prof. Zhang received both Ph.D. and M.Sc Degrees in Operations Research from Georgia Institute of Technology, M.Sc. Degree in Mathematics from The Ohio State University, and B.Sc. Degree in Mathematics in Nanjing University.

Dr. 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.

Dr. Qiao joined as a Researcher. He received his Ph.D. in Finance from The University of Chicago Booth School of Business, and Bachelor of Science in Economics and a Bachelor of Science in Engineering from University of Pennsylvania’s Wharton School and School of Engineering and Applied Sciences. He is a financial economist and conduct research on financial markets. His research interests include asset pricing, financial econometrics, investments, commodities, and return predictability, and my work has been covered by Forbes and Institutional Investor. He is on the editorial board of the Journal of Portfolio Management and the Global Commodities Applied Research Digest.

Dr. Liu joined as a Researcher. He is an Assistant Professor in the Department of Information Systems at City University of Hong Kong. He received his Ph.D. from the Rutgers Business School at Rutgers University. Before joining Rutgers, he received his M.Sc. Degree in Physics from Rutgers University and a B.Sc. Degree from the School of the Gifted Young at the University of Science and Technology of China (USTC). His general areas of research are data mining, supply chain analytics, urban computing, and large-scale optimization, with a focus on developing effective and efficient data mining techniques for emerging big data & supply chain applications. His ongoing research projects include intelligent transportation and logistics services, data-driven operations and supply chain management, supply chain network design and optimization, multi & omnichannel business. He has published prolifically in top venues of knowledge discovery and data mining.

Dr. Cui received her B.Sc Degree from Wuhan University and her Ph.D. from Cornell University. Her research involves nonparametric estimation, high dimension analysis, high-frequency analysis and empirical asset pricing. Her current work focuses on developing machine learning methodologies that are adapted to financial and economical data structures in the era of complex and ample data.

Prof. Zhao received the B.Eng. Degree in Automatic Control in 1992, the B.Sc. Degree in Applied Mathematics, and the M.Sc. and Ph.D. Degrees in Control Theory and Its Applications from Tsinghua University, Beijing. He is currently a Professor and Director of the Center for Intelligent and Networked Systems (CFINS), Department of Automation, Tsinghua University. He has published more than 80 research papers in peer-reviewed journals and conferences. His current research interests include control and optimization of complex networked systems with applications in smart buildings, smart grid, and manufacturing automation. Dr. Zhao received the 2009 and 2018 China National Nature Science Awards. He serves as Chair of the Technical Committee on Smart Buildings of the IEEE Robotics and Automation Society. He also serves in editor boards of several international journals on control and optimization.

Prof. Guan is Academician of Chinese Academy of Science and Dean of Faculty of Electronic and Information Engineering of Xi’an Jiaotong University. He is also an Adjunct Professor and Director of the Center for Intelligent and Networked Systems at Tsinghua University, Beijing and served as Department Head. Prof. Guan is an IEEE Fellow. He is serving as the Distinguished Lecturer of IEEE RAS, Editor of IEEE Transactions on Power Systems, and Associate Editor of Automatica. He received the Systems Integration and Modeling Best Paper Award of IEEE Communication Society, the second prize of the National Award for Natural Science of China, The National Outstanding Young Investigator Award of China and Li Heritage Prize for Excellence in Creative Activities. Prof. Guan received his B.Sc. and M.Sc. Degrees in Control Engineering from Tsinghua University.

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.

Professor Irwin King is a distinguished scholar in machine intelligence, currently serving as the Chair and Professor of Computer Science & Engineering at The Chinese University of Hong Kong. With a broad range of research interests covering areas such as machine learning, social computing, AI, and data mining, Professor King is a Fellow of prestigious societies and associations, including the IEEE, INNS, AAIA, HKIE, and ACM Distinguished Member. Over the years, he has played many leadership roles in various top conferences and societies, such as serving as the President of the International Neural Network Society, General Co-chair of conferences such as WebConf 2020, ICONIP 2020, ACML 2015, RecSys 2013, and WSDM 2011. He has also held several capacities in conferences such as WWW, NIPS, ICML, IJCAI, AAAI, and ICONIP.

Professor King has been honored with various prestigious awards in recognition of his contributions to the field of machine intelligence. Some of his notable awards include the 2021 INNS Dennis Gabor Award for engineering applications of neural networks, the 2020 APNNS Outstanding Achievement Award, and several Test of Time Awards from ACM conferences such as CIKM2019, SIGIR 2020, and WSDM 2022. Additionally, during his tenure with AT&T Labs Research, San Francisco, he also taught as a Visiting Professor at UC Berkeley.

Professor King holds a B.Sc. degree in Engineering and Applied Science from the California Institute of Technology (Caltech) and obtained his M.Sc. and Ph.D. degrees in Computer Science from the University of Southern California (USC).

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.

Prof. Dapeng Oliver Wu received a B.Eng. Degree in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China, in 1990, an M.Eng. Degree in Electrical Engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 1997, and a Ph.D. Degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003.

He is Yeung Kin Man Chair Professor of Network Science, and Chair Professor of Data Engineering at the Department of Computer Science, City University of Hong Kong.  Previously, he was on the faculty of University of Florida, Gainesville, FL, USA and was the director of NSF Center for Big Learning, USA.  His research interests are in the areas of networking, communications, signal processing, computer vision, machine learning, smart grid, and information and network security. He received University of Florida Term Professorship Award in 2017, University of Florida Research Foundation Professorship Award in 2009, AFOSR Young Investigator Program (YIP) Award in 2009, ONR Young Investigator Program (YIP) Award in 2008, NSF CAREER award in 2007, the IEEE Circuits and Systems for Video Technology (CSVT) Transactions Best Paper Award for Year 2001, and the Best Paper Awards in IEEE GLOBECOM 2011 and International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QShine) 2006.

He has served as Editor in Chief of IEEE Transactions on Network Science and Engineering, Editor-at-Large for IEEE Open Journal of the Communications Society, founding Editor-in-Chief of Journal of Advances in Multimedia, and Associate Editor for IEEE Transactions on Cloud Computing, IEEE Transactions on Communications, IEEE Transactions on Signal and Information Processing over Networks, IEEE Signal Processing Magazine, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology. He is also a guest-editor for IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Cross-layer Optimized Wireless Multimedia Communications and Special Issue on Airborne Communication Networks.  He has served as Technical Program Committee (TPC) Chair for IEEE INFOCOM 2012, and TPC chair for IEEE International Conference on Communications (ICC 2008), Signal Processing for Communications Symposium, and as a member of executive committee and/or technical program committee of over 100 conferences. He was elected as a Distinguished Lecturer by  IEEE Vehicular Technology Society in 2016.  He has served as Chair for the Award Committee, and Chair of Mobile and wireless multimedia Interest Group (MobIG), Technical Committee on Multimedia Communications, IEEE Communications Society. He was an elected member of Multimedia Signal Processing Technical Committee, IEEE Signal Processing Society from Jan. 1, 2009 to Dec. 31, 2012.  He is an IEEE Fellow.

Prof. Lions is one of the most prominent experts, worldwide, of the theory of nonlinear partial differential equations. He is a Professor at the prestigious Collège de France in Paris. He has received numerous awards, including the prestigious Fields Medal in 1994, the Grand Prize Ampère from the French Academy of Sciences, the Grand Prize from the INRIA, France, the IBM Prize, and the Philip Morris Prize.

Prof. Bensoussan is a Chair Professor of School of Data Science at City University of Hong Kong. He is a Fellow of IEEE, SIAM, and AMS. He has published over 400 scientific articles in areas such as finance, stochastic processes and estimation, operations management and inventory control.