Director

Director: Prof. Zhi-Quan Luo
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       Professor Zhi-Quan (Tom) Luo received his BSc degree in Applied Mathematics from Peking University, China, in 1984. In the same year, he was selected by a joint AMS-SIAM committee and the Ministry of Education of China for graduate study in the United States (S.S. Chern Program). Following a 12-month intensive training in English and Mathematics, he enrolled in the Massachusetts Institute of Technology where he received a PhD degree in Operations Research in 1989. From 1989 to 2003, he was on the faculty in the Department of Electrical and Computer Engineering, McMaster University, Canada where he eventually served as the department head and was awarded a Canada Research Chair (Tier I) in Information Processing. From 2003 to 2014, Professor Luo has been a full professor at the Department of Electrical and Computer Engineering, University of Minnesota and held an endowed ADC Chair in digital technology. Currently, Professor Luo serves as the Vice President (Academic) of The Chinese University of Hong Kong, Shenzhen, and concurrently the Director of Shenzhen Research Institute of Big Data and also the Director of CUHK(SZ)-Tencent AI Lab Joint Laboratory on Machine Intelligence.

       Professor Luo received the 2010 Farkas Prize from the INFORMS Optimization Society for outstanding contributions to the field of optimization. In 2018, he was awarded the prize of Paul Y. Tseng Memorial Lectureship in Continuous Optimization. He also received three Best Paper Awards from the IEEE Signal Processing Society in 2004, 2009 and 2011 respectively, and a 2011 Best Paper Award from the EURASIP. Professor Luo is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the Society for Industrial and Applied Mathematics (SIAM). In 2014, he was elected to the Royal Society of Canada, the highest honor a Canadian scholar can achieve in the Arts, Humanities and Sciences.

       Professor Luo’s research mainly addresses mathematical issues in information sciences, with particular focus on the design, analysis and applications of optimization algorithms. Professor Luo consults regularly with industry on topics related to signal processing and digital communication. Professor Luo was the semi-plenary speaker for the International Symposium on Mathematical Programming in 2003 and IEEE CDC conference in 2011, the distinguished lecturer for the IEEE Sensor Array and Multichannel Signal Processing Workshop in 2006, the plenary speaker for the IEEE Signal Processing Advance for Wireless Communications (SPAWC) Workshop in 2013, and IEEE Signal Processing Theory and Methods Workshop in 2014. Professor Luo has served as the Chair of the IEEE Signal Processing Society Technical Committee on Signal Processing for Communications (SPCOM). He was the Editor in Chief for IEEE Transactions on Signal Processing from 2012 to 2014 and served as the Associate Editor for many internationally recognized journals, including Mathematics of Operations Research, Management Science, Mathematical Programming and others.

  

Executive Vice Director: Prof. Shuguang Cui

       Prof. Shuguang Cui received his Ph.D in Electrical Engineering from Stanford University, California, USA, in 2005. Afterwards, he has been working as assistant, associate, full, Chair Professors in Electrical and Computer Engineering at the Univ. of Arizona, Texas A&M University, and UC Davis, respectively. He is currently the Vice Director of Shenzhen Research Institute of Big Data via a Chair Professor appointment at CUHK (Shenzhen). His current research interests focus on data driven large-scale system control and resource management, large data set analysis, IoT system design, energy harvesting based communication system design, and cognitive network optimization. He was selected as the Thomson Reuters Highly Cited Researcher and listed in the Worlds’ Most Influential Scientific Minds by ScienceWatch in 2014. He was the recipient of the IEEE Signal Processing Society 2012 Best Paper Award. He has served as the general co-chair and TPC co-chairs for many IEEE conferences. He has also been serving as the area editor for IEEE Signal Processing Magazine, and associate editors for IEEE Transactions on Big Data, IEEE Transactions on Signal Processing, IEEE JSAC Series on Green Communications and Networking, and IEEE Transactions on Wireless Communications. He has been the elected member for IEEE Signal Processing Society SPCOM Technical Committee (2009~2014) and the elected Chair for IEEE ComSoc Wireless Technical Committee (2017~2018). He is a member of the Steering Committee for both IEEE Transactions on Big Data and IEEE Transactions on Cognitive Communications and Networking. He is also a member of the IEEE ComSoc Emerging Technology Committee. He was elected as an IEEE Fellow in 2013 and an IEEE ComSoc Distinguished Lecturer in 2014. He received the Amazon AWS Machine Learning Award in 2018.

 

Vice Director: Prof. Xiaoqiang Cai
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       Professor Cai received his Ph.D. in Systems Engineering from Tsinghua University in 1988. After conducting postdoctoral researches at the University of Cambridge and the Queen's University of Belfast, UK, from 1989 to 1991, he went on to take the position of Lecturer at The University of Western Australia during 1991-1993. Since joining The Chinese University of Hong Kong (CUHK) in 1993, he has held the academic positions of Lecturer in 1993-1996, Senior Lecturer in 1996-2000, and full Professor from October 2000, at the Department of Systems Engineering and Engineering Management (SEEM). He served as the Chairman of Department of SEEM during 1996-2003, Head of Graduate Division during 2009-2012, and founding Dean of General Education of Lee Woo Sing College during 2010-2014. He has been appointed as Dean of School of Science and Engineering (2014-17), Associate Vice President (2016-), and Presidential Chair Professor (2018-), of CUHK, Shenzhen.

       Professor Cai’s research interests are mainly in industrial and systems engineering, operations research, and logistics and supply chain management science. He has published over 200 papers in academic journals, books, and conferences, including more than 100 papers in leading journals (such as Operations Research, Management Science, Naval Research Logistics, Production and Operations Management, IIE Transactions, IEEE Transactions, and Transportation Research). He was the chair/co-chair for several international conferences, and member of the organizing committee/program committee/advisory committee for numerous international conferences. He has been an editor/associate editor/editorial board member of several academic journals, including IIE Transactions on Scheduling and Logistics, Journal of Scheduling, Fuzzy Decision Making and Optimization, and Journal of Industrial and Management Optimization. He is a Fellow of the Hong Kong Institute of Engineers, and an Academician of the International Academy for Systems and Cybernetic Sciences.

 

Vice Director: Prof. Shuzhong Zhang
 

       Prof. Shuzhong Zhang was born in October 1963. In 1984, he got his bachelor degree at the Department of Mathematics, Fudan University, and went to the Fudan University Mathematics Institute for postgraduate studies. In 1988, He studied in the Netherlands. In 1991, he received his Ph.D. in Econometrics and Operations Research from the University of Erasmus in Tinbergen, and was employed by the University of Groningen in the Netherlands. In 1993, He to return to the Erasmus University Institute of Econometrics. In 1999, he won the Erasmus University Best Research Award and was ranked 6th among the top 40 economists in the Netherlands. At the same year, Prof. Shuzhong Zhang went to the Department of Systems Engineering and Engineering Management in the Chinese University of Hong Kong.He was awarded the Model of Teaching in 2001 and the Young Research Award in 2003 in the Chinese University of Hong Kong. Prof. Shuzhong Zhang was employed by the University of Minnesota in 2011, when the Department of Industrial and Systems Engineering was in preparation. Prof. Zhang Shuzhong hence became the head of the Department.

       Prof. Shuzhong Zhang has long-term and in-depth research in the theory and methods of operations research and optimization. He also has keen interest and extensive experience in the application of operational optimization. His research involves areas including gene expression analysis and disease diagnosis, signal processing and spectrum management, financial investment models and stochastic optimization, risk-return management and robust optimization, equilibrium and efficiency calculation problems in economic and game theory, and algorithm software design. So far Prof. Shuzhong Zhang has published more than 140 academic papers and monographs, and has been invited multiple times to make conference reports at major international academic conferences. In the non-convex quadratic programming and nonconvex polynomial optimization, Prof. Zhang developed a rank-first matrix decomposition method for solving nonconvex quadratic programming problems, and proposed a series of new algorithms for solving nonconvex polynomial optimization problems. Prof. Zhang developed the approximation calculation method of polynomial and tensor optimization model, as well as the only approximation algorithm that can solve the approximation ratio guarantee of arbitrary polynomial optimization model. These non-convex optimization models can be applied to a wide range of combinatorial and graph theory problems, wireless sensor location in signal processing, and airline revenue management. Due to his outstanding research on the theory and algorithm of nonconvex polynomial optimization problems, Prof. Zhang was invited to make a 50-minute report at the International Mathematical Planning Conference held in Chicago in 2009. Prof. Shuzhong Zhang's former doctoral student JosSturm developed SeDuMi based on a series of original dual interior point algorithms that they jointly invented to solve semi-definite programming problems. SeDuMi is one of the internationally renowned optimization software. The software has been cited more than 5,000 times since inception. With the duality theory of semi-definite programming, Prof. Shuzhong Zhang and his collaborators theoretically and practically solve the computational problem in the stochastic linear quadratic optimal control model. The result was award the Best Paper Award in 2003 by the Association of Engineering and Applied Mathematics (SIAM). Prof. Shuzhong Zhang and Prof Zhiquan Luo have cooperated in applying the relevant theories in functional analysis to the field of signal processing, which proposed solutions to the dynamic spectrum management problem in signal processing. The research outcome was awarded the Best Paper Award by the Institute of Signal Processing Society of the Institute of Electrical and Electronics Engineers (IEEE) in 2009. Prof. Shuzhong Zhang was award the Best Paper Award in the Signal Processing Magazine of the International Signal Processing Association in 2016.

       In recent years, Prof. Shuzhong Zhang have made some breakthroughs with his students in the use of low-order methods to calculate large-scale optimization models, especially in solving the results of non-convex optimization models (including tensor calculation models) generated in big data analysis. In 2006, he was invited to make a one-hour report at the International Continuous Optimization Conference held in Tokyo, Japan. From 2003 to 2006, Prof. Shuzhong Zhang was the honorary dean of the School of Management of China University of Mining and Technology. He has also been prolongedly invited as a visiting professor by Fudan University, Chinese Academy of Sciences, Tsinghua University, Shanghai University and Shanghai University of Finance and Economics. Prof. Shuzhong Zhang is a member of the editorial board of many important international journals, including Operations Research and Management Science under the INFORMS Institute.

 

Chief Scientist: Prof. Jim Dai

       Jim Dai holds a Presidential Chair at The Chinese University of Hong Kong, Shenzhen, co-directing the Institute for Data and Decision Analytics (iDDA). He is currently on leave from Cornell University, where he is the Leon C. Welch Professor of Engineering in the School of Operations Research and Information Engineering (ORIE). Prior joining Cornell in 2012, he held the Chandler Family Chair of Industrial and Systems Engineering at Georgia Institute of Technology, where he was a faculty member from 1990 to 2012.

       Dai studies applied probability models for efficient resource allocations in processing networks that model service systems such as customer contact centers, data centers, hospital patient flow management, airline yield management, and ridesharing networks.

       Dai received his BA and MA in mathematics from Nanjing University and his PhD in mathematics from Stanford. He is an elected fellow of Institute of Mathematical Statistics and an elected fellow of Institute for Operations Research and the Management Sciences (INFORMS). He received the Erlang Prize in 1998 from the Applied Probability Society (APS) of INFORMS, two Best Publication Awards from APS (1997 and 2017), and the ACM Sigmetrics Achievement Award in 2018. He delivered The Markov Lecture in 2012.

       Dai was the Editor-In-Chief of Mathematics of Operations Research from 2013 to 2018.