Yinyu Ye

Stanford University

Yinyu Ye is currently the K.T. Li Professor of Engineering at Department of Management Science and Engineering and Institute of Computational and Mathematical Engineering, Stanford University. He received the B.S. degree in System Engineering from the Huazhong University of Science and Technology, China, and the M.S. and Ph.D. degrees in Engineering-Economic Systems and Operations Research from Stanford University. His current research interests include Continuous and Discrete Optimization, Data Science and Applications, Computational Algorithm Design and Analyses, Algorithmic Game/Market Equilibrium; and he was one of the pioneers of Interior-Point Methods, Conic Linear Programming, Distributionally Robust Optimization, Online Linear Programming, Algorithm Analyses for Reinforcement Learning and Markov Decision Process, and etc. He has received several academic awards including: the inaugural 2006 Farkas Prize on Optimization, the 2009 IBM Faculty Award, the 2009 John von Neumann Theory Prize for fundamental sustained contributions to theory in Operations Research and the Management Sciences, the inaugural 2012 ISMP Tseng Lectureship Prize for outstanding contribution to continuous optimization (every three years), the winner of the 2014 SIAM Optimization Prize awarded (every three years), the 2015 SPS Signal Processing Magazine Best Paper Award, etc.. He has supervised numerous doctoral students at Stanford who received various prizes such as INFORMS Nicholson Prize, Student Paper Competition, the INFORMS Computing Society Prize, the INFORMS Optimization Prize for Young Researchers. According to Google Scholar, his publications have been cited 52,000 times.

Weinan E

Peking University

Weinan E is a professor at the Center for Machine Learning Research (CMLR) and the School of Mathematical Sciences at Peking University. His main research interest is numerical algorithms, machine learning and multi-scale modeling, with applications to chemistry, material sciences and fluid mechanics. He was a plenary speaker at ICM 2022 and a keynote speaker at ICML 2022. He has also been an invited speaker at APS, ACS, AIChe annual meetings, the World Congress of Computational Mechanics, and the American Conference of Theoretical Chemistry. Weinan E was awarded the ICIAM Collatz Prize in 2003 and the ACM Gordon-Bell Prize in 2020. He is a member of the Chinese Academy of Sciences, a fellow of SIAM, AMS and IOP.

Nikos D. Sidiropoulos

University of Virginia

N. Sidiropoulos is the Louis T. Rader Professor of Electrical and Computer Engineering at the University of Virginia. He earned his Ph.D. in Electrical Engineering from the University of Maryland–College Park, in 1992. He has served on the faculty of the University of Minnesota, and the Technical University of Crete, Greece. His research interests are in signal processing, communications, optimization, tensor decomposition, and factor analysis, with applications in machine learning and communications. He received the NSF/CAREER award in 1998, the IEEE Signal Processing Society (SPS) Best Paper Award in 2001, 2007, and 2011, and his students received four IEEE SPS conference best paper awards. Sidiropoulos has authored a Google Classic Paper in Signal Processing (on multicast beamforming), and his tutorial on tensor decomposition is ranked #1 in Google Scholar metrics for IEEE Transactions in Signal Processing (TSP), and tops the charts of the most popular / most frequently accessed TSP papers in IEEExplore. He served as IEEE SPS Distinguished Lecturer (2008-2009), Vice President of IEEE SPS (2017-2019), and as chair of the IEEE Fellow evaluation committee of SPS (2020-2021). He received the 2010 IEEE Signal Processing Society Meritorious Service Award, and the 2013 Distinguished Alumni Award from the ECE Department of the University of Maryland. He is a Fellow of IEEE (2009) and a Fellow of EURASIP (2014). He received the EURASIP Technical Achievement Award in 2022. More information at http://www.ece.virginia.edu/~nds5j/ and https://scholar.google.com/citations?user=ZOkfkFMAAAAJ&hl=en

Yonina Eldar

Weizmann institute of Science

Yonina Eldar is a Professor in the Department of Mathematics and Computer Science, Weizmann Institute of Science, Rehovot, Israel where she heads the center for Biomedical Engineering and Signal Processing and holds the Dorothy and Patrick Gorman Professorial Chair. She is also a Visiting Professor at MIT, a Visiting Scientist at the Broad Institute, and an Adjunct Professor at Duke University and was a Visiting Professor at Stanford. She is a member of the Israel Academy of Sciences and Humanities, an IEEE Fellow and a EURASIP Fellow.

She received the B.Sc. degree in physics and the B.Sc. degree in electrical engineering from Tel-Aviv University, and the Ph.D. degree in electrical engineering and computer science from MIT, in 2002. She has received many awards for excellence in research and teaching, including the IEEE Signal Processing Society Technical Achievement Award (2013), the IEEE/AESS Fred Nathanson Memorial Radar Award (2014) and the IEEE Kiyo Tomiyasu Award (2016). She was a Horev Fellow of the Leaders in Science and Technology program at the Technion and an Alon Fellow. She received the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, the Wolf Foundation Krill Prize for Excellence in Scientific Research, the Henry Taub Prize for Excellence in Research (twice), the Hershel Rich Innovation Award (three times), and the Award for Women with Distinguished Contributions. She received several best paper awards and best demo awards together with her research students and colleagues, was selected as one of the 50 most influential women in Israel, and was a member of the Israel Committee for Higher Education. She is the Editor in Chief of Foundations and Trends in Signal Processing, a member of several IEEE Technical Committees and Award Committees, and heads the Committee for Promoting Gender Fairness in Higher Education Institutions in Israel.

Asu Ozdaglar

Massachusetts Institute of Technology

Asu Ozdaglar is the Mathworks Professor of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT). She is the department head of EECS and deputy dean of academics of the Schwarzman College of Computing at MIT. Her research expertise includes optimization, machine learning, economics, and networks. Her recent research focuses on designing incentives and algorithms for data-driven online systems with many diverse human-machine participants. She has investigated issues of data ownership and markets, spread of misinformation on social media, economic and financial contagion, and social learning.

Professor Ozdaglar is the recipient of a Microsoft fellowship, the MIT Graduate Student Council Teaching award, the NSF Career award, the 2008 Donald P. Eckman award of the American Automatic Control Council, the 2014 Spira teaching award, and Keithley, Distinguished School of Engineering and Mathworks professorships. She is an IEEE fellow, IFAC fellow, and was selected as an invited speaker at the International Congress of Mathematicians. She received her Ph.D. degree in electrical engineering and computer science from MIT in 2003.

Rui Zhang

Shenzhen Research Institute of Big Data

Dr. Rui Zhang received the B.Eng. (First-Class Hons.) and M.Eng. degrees from National University of Singapore, and the Ph.D. degree from Stanford University, Stanford, CA USA, all in electrical engineering. From 2007 to 2009, he worked as a researcher at the Institute for Infocomm Research, ASTAR, Singapore. In 2010, he joined the Department of Electrical and Computer Engineering of National University of Singapore, where he was appointed as a Provost’s Chair Professor in 2020. Since 2022, he has joined the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, as a Principal’s Diligence Chair Professor. His current research interests include UAV/satellite communication, wireless power transfer, intelligent reflecting surface and reconfigurable MIMO, optimization methods, etc. He has published over 450 papers in the field of wireless communications, which have been cited more than 70,000 times, with the h-index over 120. He has been listed as a Highly Cited Researcher by Thomson Reuters / Clarivate Analytics since 2015. He was the recipient of the IEEE Communications Society Asia-Pacific Region Best Young Researcher Award in 2011, the Young Researcher Award of National University of Singapore in 2015, the Wireless Communications Technical Committee Recognition Award in 2020, and the IEEE Signal Processing and Computing for Communications (SPCC) Technical Recognition Award in 2021. He received 14 IEEE Best Paper Awards, including the IEEE Marconi Prize Paper Award in Wireless Communications in 2015 and 2020, the IEEE Signal Processing Society Best Paper Award in 2016, the IEEE Communications Society Heinrich Hertz Prize Paper Award in 2017, 2020 and 2022, the IEEE Communications Society Stephen O. Rice Prize in 2021, etc. He served for over 30 international conferences as the TPC Co-Chair or an Organizing Committee Member, and as the guest editor for 3 special issues in IEEE Journal of Selected Topics in Signal Processing and IEEE Journal on Selected Areas in Communications. He served as an elected member of the IEEE Signal Processing Society SPCOM and SAM Technical Committees, and the Vice Chair of the IEEE Communications Society Asia-Pacific Board Technical Affairs Committee. He served as an editor for the IEEE Transactions on Wireless Communications, IEEE Journal on Selected Areas in Communications (Green Communications and Networking Series), IEEE Transactions on Signal Processing, and IEEE Transactions on Green Communications and Networking. He is now an editor for the IEEE Transactions on Communications. He served as a member of the Steering Committee of the IEEE Wireless Communications Letters, and a Distinguished Lecturer of IEEE Signal Processing Society and IEEE Communications Society. He is a Fellow of the IEEE and the Academy of Engineering, Singapore.

Hairong Zheng

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Chunming Li

University of Electronic Science and Technology of China

Chunming Li received the Ph.D. degree in electrical engineering from the University of Connecticut, Storrs, CT, USA, in 2005. He was a Research Fellow with the Vanderbilt University Institute of Imaging Science, Nashville, TN, USA, from 2005 to 2009. He is currently a Professor of medical image analysis with the School of information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu. His main research areas include algorithm research and application in image processing, computer vision and medical image analysis. He has made important contributions with international influence in the research of medical image analysis, image segmentation, and level set methods. Prof. Chunming Li has published several original research papers as first author, including five papers with more than 1000 citations - one paper with more than 3000 citations and two other papers with more than 2000 citations. The models and algorithms proposed in Chunming Li's papers have been widely used in the processing and analysis of various biomedical and natural images, among which the Distance Regularized Level Set Evolution (DRLSE) algorithm was selected as a representative algorithm for medical artificial intelligence in China in 2021 (only three algorithms were selected nationwide). Chunming Li has been selected as a highly cited scholar by Elsevier for several years. From 2015 to 2018, he served as an associate editor of IEEE TIP, a top journal on image processing, and has been invited to serve as an editorial board member of Medical Image Analysis in 2020 and Intelligent Medicine in 2020. He has been invited as an editorial board member of Intelligent Medicine since 2020.

Guangtao Zhai

Shanghai Jiao Tong University

Guangtao Zhai is a professor at Department of Electronics Engineering, Shanghai Jiao Tong University. His research interests are in the fields of multimedia and perceptual signal processing. He has received the Humboldt fellowship in 2011, national PhD thesis awards of China in 2012, best student paper award of Picture Coding Symposium (PCS) 2015, best student paper award of IEEE International Conference of Multimedia and Expo (ICME) 2016, best paper award of IEEE Trans. Multimedia 2018, Saliency360! Grand Challenge of ICME 2018, best paper award of IEEE Mobile Multimedia Computing Workshop (MMC) 2019, best paper award of IEEE CVPR Dyna-Vis Workshop 2020, best paper runner-up of IEEE Trans. Multimedia 2021, 2nd place of ECCV MIPI Quad-Bayer ReMosaic Challenge, 1st place of UGC VQA Contest FR Track in IEEE ICME 2021, best paper award of IEEE BMSB 2022, 1st place of ICIP Grand Challenge in Video Distortion Detection and Classification in the Context of Video Surveillance.

He received the “Eastern Scholar” and “Dawn” program professorship of Shanghai, China, NSFC distinguished/excellent young researcher award and national top young researcher award in China. He is a senior member of IEEE and a member of IEEE CAS MSA TC and SPS IVMSP TC. He serves as Editor-in-Chief of Displays (Elsevier) and is on the editorial board of Science China: information Science (Springer).

Jingdong Chen

 Northwestern Polytechnical University

Jingdong Chen received his PhD degree from the National Laboratory of Pattern Recognition, Chinese Academy of Sciences in 1998. He is currently a professor at the Northwestern Polytechnical University in Xi'an, China. Before joining NWPU in January 2011, he served as the Chief Scientist of WeVoice Inc. in New Jersey for one year. Prior to this position, he was with Bell Labs in New Jersey for nine years. Before joining Bell Labs, he held positions at the Griffith University in Brisbane, Australia and the Advanced Telecommunications Research Institute International (ATR) in Kyoto, Japan.

Dr. Chen has long been working on the problems of speech enhancement, noise reduction, echo cancellation, and microphone array processing. He has authored and co-authored 12 monograph books and published over 200 papers in peer reviewed journals and conferences. He has been serving in various capacities in the global research community: as the Chair of IEEE Xi’an Section, as an Associate Editor to the IEEE Transactions on Audio, Speech and Language Processing and as a Member of the Editorial Board of several journals. He was the general chair of the IWAENC 2016, the technical program co-chair of the IEEE WASPAA 2009, IEEE TENCON 2013, ChinaSIP 2014, and helped organize many other conferences. Dr. Chen received the IEEE Signal Processing Society Best Paper Award in 2009, the best paper award from the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) in 2011, the Bell Labs Role Model Teamwork Award twice, respectively, in 2009 and 2007, the NASA Tech Brief Award twice, respectively, in 2010 and 2009, the Japan Trust International Research Grant from the Japan Key Technology Center in 1998, the “Distinguished Young Scientists Fund” from the National Nature Science Foundation of China (NSFC) in 2014, and the Young Author Best Paper Award from the National Conference on Man-Machine Speech Communications in 1998. He is also the co-author of a journal paper for which his PhD student, Chao Pan, received the IEEE Region 10 (Asia-Pacific) 2016 Distinguished Student Paper Award (First Prize). Dr. Chen is Fellow of IEEE.

Binglong Chen

Sun Yat-sen University

Bing-Long Chen was born in Shanxi province in China. He received his Ph.D. in Pure Mathematics in 2000 from Sun Yat-sen University. He became a professor in Sun Yat-sen university in 2004.  He was awarded the National Science Fund for Distinguished Young Scholars in 2010 and was named a Chang Jiang Scholar  by the Ministry of Education of the People’s Republic of China in 2014.

Deren Han

Beihang University

Deren Han, Professor with School of Mathematical Sciences, Beihang University. He is the dean of the school. He received the bachelor and Ph.D. degree in Computational Mathematics from Nanjing University, 1997 and 2002, respectively. His research focus on the design, analysis and applications of optimization (variational inequality problems) algorithms. He is the secretary of the Mathematics Teaching Guidance Committee of the Ministry of Education. He also serves as the Associate Editor of Journal of Global Optimization, Journal of the Operations Research Society of China, and the Chinese journal, Journal of Numerical Methods and Computer Applications.

Xiaoping Wang

Shenzhen Research Institute of Big Data

Xiaoping Wang received his BSc Degree in mathematics from Peking University in 1984 and his PhD Degree in mathematics from Courant Institute (NYU) in 1990. He was a postdoctoral at MSRI in Berkeley, University of Colorado in Boulder before he moved to the Hong Kong University of Science and Technology (HKUST) in 1994. He was the Head and Chair Professor of Mathematics Department at HKUST. Prof. Wang is currently a Presidential Chair Professor at the School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen (CUHKSZ), and the Director of International Industrial and Applied Mathematics Center, Shenzhen Research Institute of Big Data. Prof. Wang’s current research interests are: Modeling and Simulations of Interface Problem and Multi-phase Flow; Topology Optimization and Numerical Methods for Micro-magnetics Simulations. He received Feng Kang Prize of Scientific Computing in 2007 and was a plenary speaker at the SIAM conference on mathematical aspects of materials science (2016) and a plenary speaker at the International Congress of Industrial and Applied Mathematics (2019).

Tsung-Hui Chang

Shenzhen Research Institute of Big Data

Tsung-Hui Chang is currently an Associate Professor and the Assistant Dean (Education) of the School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen (CUHKSZ), the Associate Director of Data-driven Information System Laboratory, Shenzhen Research Institute of Big Data, and the Associate Director of the Guangdong Provincial Key Laboratory of Big Data Computing. He received a B.S. degree in electrical engineering and a Ph.D. degree in communications engineering from the National Tsing Hua University (NTHU), Hsinchu, Taiwan, in 2003 and 2008, respectively. Before joining the CUHKSZ, he was with the NTHU, the University of California, Davis, and the National Taiwan University of Science and Technology (NTUST) as a postdoctoral researcher and a faculty member. His research interests include signal processing and optimization methods for data communications and machine learning.

Dr. Chang is an IEEE Fellow, an Elected Member of the IEEE Signal Processing Society (SPS) Signal Processing for Communications and Networking Technical Committee (SPCOM TC) (2020/01-), the Founding Chair of the IEEE SPS Integrated Sensing and Communication Technical Working Group (ISAC TWG), and the elected Regional Director-at-Large of Board of Governors of IEEE SPS (2022/01-). He received the Young Scholar Research Award of NTUST in 2014, the IEEE ComSoc Asian-Pacific Outstanding Young Researcher Award in 2015, the IEEE SPS Best Paper Awards in 2018 and 2021, and the Outstanding Faculty Research Award of SSE of CUHKSZ. He has served on the editorial board for major SP journals, including an Associate Editor of IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014/08-2018/12), IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS (2015/01-2018/12), IEEE OPEN JOURNAL OF SIGNAL PROCESSING (2020/01-present), and a Senior Area Editor of IEEE TRANSACTIONS ON SIGNAL PROCESSING (2021/02-present).

Shao-Lun Huang

Tsinghua-Berkeley Shenzhen Institute

Shao-Lun Huang received the B.S. degree with honor in 2008 from the Department of Electronic Engineering, National Taiwan University, Taiwan, and the M.S. and Ph.D. degree in 2010 and 2013 from the Department of Electronic Engineering and Computer Sciences, Massachusetts Institute of Technology. From 2013 to 2016, he was working as a postdoctoral researcher jointly in the Department of Electrical Engineering at the National Taiwan University and the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. Since 2016, he has joined Tsinghua-Berkeley Shenzhen Institute, where he is currently a tenured associate professor. His research interests include information theory, communication theory, machine learning, and social networks.

Ding Zhao

Carnegie Mellon University

Ding Zhao is currently an assistant professor in the Department of Mechanical Engineering at Carnegie Mellon University, with affiliations at the Computer Science Department, Robotics Institute, and CyLab on Security and Privacy. Directing the CMU Safe AI Lab, his research focuses on the theoretical and practical aspects of safely deploying AI to safety-critical applications, including self-driving, assistant robots, healthcare diagnosis, and cybersecurity. He is the recipient of the National Science Foundation CAREER Award, CMU George Tallman Ladd Research Award, MIT Technology Review 35 under 35 Award in China, Ford University Collaboration Award, Carnegie-Bosch Research Award, Struminger Teaching Award, and many industrial fellowship awards. He worked with leading industrial partners, including Google, Apple, Ford, Uber, IBM, Adobe, Bosch, Toyota, and Rolls-Royce. He is a visiting researcher in the Robotics Team at Google Brain.