Arnulf Jentzen
The Chinese University of Hong Kong, Shenzhen
Arnulf Jentzen (*November 1983) is appointed as a full professor for applied mathematics at the University of Muenster (since 2019) and as a presidential chair professor for data science at the Chinese University of Hong Kong, Shenzhen (since 2021). In 2004 he started his undergraduate studies in mathematics (minor field of study: computer science) at Goethe University Frankfurt in Germany, in 2007 he received his diploma degree at this university, and in 2009 he completed his PhD in mathematics at this university. The core research topics of his research group are machine learning approximation algorithms, computational stochastics, numerical analysis for high dimensional partial differential equations (PDEs), stochastic analysis, and computational finance. He is particularly interested in deep learning based algorithms for high dimensional approximation problems and different kinds of differential equations. At the moment he serves as an associate or division editor for the Annals of Applied Probability (AAP, since 2019), for Communications in Computational Phyiscs (CiCP, since 2021s), for Communications in Mathematical Sciences (CMS, since 2015), for Discrete and Continuous Dynamical Systems Series B (DCDS-B, since 2018), for the Journal of Complexity (JoC, since 2016), for the Journal of Mathematical Analysis and Applications (JMAA, since 2014), for the SIAM / ASA Journal on Uncertainty Quantification (JUQ, since 2020), for the SIAM Journal on Scientific Computing (SISC, since 2020), for the SIAM Journal on Numerical Analysis (SINUM, since 2016), for the Journal Springer Nature Partial Differential Equations and Applications (PDEA, since 2019), and for the Journal of Applied Mathematics and Physics (ZAMP, since 2016). In 2020 he has been awarded the Felix Klein Prize from European Mathematical Society (EMS). Further details on the activies of his research group can be found at the webpage http://www.ajentzen.de.
Ruoyu Sun
University of Illinois at Urbana-Champaign
Ruoyu Sun is an assistant professor in the Department of Industrial and Enterprise Systems Engineering (ISE) and affiliated with Coordinated Science Lab (CSL) and Department of Electrical and Computer Engineering (ECE), University of Illinois at Urbana-Champaign (UIUC). Before joining UIUC, he was a visiting research scientist at Facebook AI Research (FAIR), and was a postdoctoral researcher at Stanford University. He obtained PhD in electrical engineering from University of Minnesota, and B.S. in mathematics from Peking University. His current research interests lie on optimization and deep learning, including deep learning theory, generative adversarial networks, adaptive gradient methods, adversarial robustness and meta-learning. He has won the second place of INFORMS George Nicholson student paper competition, and honorable mention of INFORMS optimization society student paper competition. He has been serving as area chairs of NeurIPS, ICLR, ICML and AISTATS.
Jianfeng Feng
Fudan University
Jianfeng Feng is the chair professor of Shanghai National Centre for Mathematic Sciences, and the Dean of Institute of Science and Technology for Brain-Inspired Intellignece in Fudan University. He has been developing new mathematical, statistical and computational theories and methods to meet the challenges raised in neuroscience and mental health researches. Recently, his research interests are mainly in big data analysis and mining for neuroscience and brain diseases. He was awarded the Royal Society Wolfson Research Merit Award in 2011, as a scientist ‘being of great achievements or potentials’. He has made considerable contributions on modelling single neurons and neuronal networks, machine learning, and causality analysis with publications on Nature series journals, JAMA Psychiatry, AJP, Biological Psychiatry, Molecular Psychiatry, Brain, PNAS, PRL, and top machine learning journals,etc. He has proposed and developed BWAS method (Brain-wide association study), and successfully applied it to search the roots in depression, schizophrenia and autism; developed functional entropy method and applied it to the study of ageing, intelligence and creativity, etc.
Pingzhi Fan
Southwest Jiaotong University
Pingzhi Fan (PhD, IEEE Fellow) is currently the director and distinguished professor of the Institute of Mobile Communications, Southwest Jiaotong University, China, and a visiting professor of Leeds University, UK (1997-). He is a recipient of the UK ORS Award (1992), the National Science Fund for Distinguished Young Scholars (1998, NSFC), IEEE VT Society Jack Neubauer Memorial Award (2018), IEEE SP Society SPL Best Paper Award (2018), IEEE WCSP 10-Year Anniversary Excellent Paper Award (2009-2019), and IEEE/CIC ICCC Best Paper Award (2020). He served as a chief scientist of the National 973 Plan Project (National Basic Research Program of China) between 2012.1-2016.12. His research interests include high mobility wireless communications, massive random-access techniques, signal design & coding, etc. He is an IEEE VTS Distinguished Speaker (2019-2022), a fellow of IEEE, IET, CIE and CIC.
Jun Zhu
Tsinghua University
Dr. Jun Zhu is a Professor at the Department of Computer Science and a Chief Scientist of Machine Learning at Beijing Academy of Artificial Intelligence. He was an Adjunct Faculty at the Machine Learning Department in Carnegie Mellon University from 2015 to 2018. His research interest lies in machine learning. He has published over 100 papers in the prestigious conferences and journals. He is an associate editor-in-chief for IEEE Trans. on PAMI. He regularly served as (senior) area chair for ICML, NeurIPS, ICLR, and AAAI. He is a recipient of Xplorer Prize, IEEE Intelligent Systems "AI's 10 to Watch" Award, MIT TR35 China, CCF Young Scientist Award, and CCF first-class Natural Science Award.
Liwei Wang
Peking University
Liwei Wang is a professor and the Vice Dean of Department of Machine Intelligence, School of Electronics Engineering and Computer Sciences, Peking University. His main research interest is machine learning theory. He has published more than 150 papers on top conferences and journals. He is an Associate Editor of TPAMI. He served as Senior Area Chair of NeurIPS, ICML and ICLR. He was named among “AI’s 10 to Watch” in 2011.
Bob Ran
Huawei Technologies Co., Ltd.
Bob Ran joined Huawei in 2007. Algorithm engineer, project manager, system engineer in microwave from 2007 to 2016. Served as project manager, system engineer in microwave and Optical, Ottawa Research Institute from 2016-2019. Algorithm technology expert in Wi-Fi up to now.
Shi Jin
Southeast University
Shi Jin (Senior Member, IEEE) received the B.S. degree in communications engineering from Guilin the University of Electronic Technology, Guilin, China, in 1996, the M.S. degree from the Nanjing University of Posts and Telecommunications, Nanjing, China, in 2003, and the Ph.D. degree in information and communications engineering from Southeast University, Nanjing, in 2007. From June 2007 to October 2009, he was a Research Fellow with Adastral Park Research Campus, University College London, London, U.K. He is currently a Faculty Member with the National Mobile Communications Research Laboratory, Southeast University. His research interests include space time wireless communications, random matrix theory, and information theory. He and his coauthors have been awarded the 2011 IEEE Communications Society Stephen O. Rice Prize Paper Award in the field of communication theory and the 2010 Young Author Best Paper Award from the IEEE Signal Processing Society. He serves as an Associate Editor for the IEEE Transactions on Wireless Communications, IEEE Communications Letters, and IET Communications.
Costas Courcoubetis
The Chinese University of Hong Kong, Shenzhen
Prof. Costas A. Courcoubetis is a Professor of the Chinese University of Hong Kong, Shenzhen. He received his diploma from the National Technical University of Athens, Greece in 1977; he later obtained his Master of Science degree and PhD in Electrical Engineering and Computer Science from the University of California, Berkeley.
Prior to join CUHK (Shenzhen), Prof. Costas A. Courcoubetis was a Professor and Associate Head of Pillar in the Engineering Systems and Design Pillar, Singapore University of Technology and Design where he directed the ST-SUTD Centre for Smart Systems and co-directed the LTA-SUTD center for Transportation. Prior to that, from 1999 to 2013 he was a Professor in the Department of Informatics at the Athens University of Economics and Business, and from 1990 to 1999 a Professor in the Computer Science Department at the University of Crete where he also headed the Networks Department in ICS FORTH. While in USA, from 1982 to 1990 he was Member of Technical Staff (MTS) at the Mathematics Research Centre, Bell Laboratories. His current research interests are economics and performance analysis of networks and internet technologies, sharing economy and mobility, regulation policy, smart grids and energy systems, resource sharing and auctions.
Prof. Courcoubetis did fundament research in Computer Science in the area of algorithmic verification and is one of the pioneers in defining network economics for data networks in the late 1990s. Besides having led a large number of research projects in these areas, he has published over 100 papers in top scientific journals and conferences in areas that include theoretical computer science, operations research, network economics, regulation policy and telecommunications. He is in the list of the 336 most-cited Greek scientists and in the world’s top 2% scientists. His work has over 16,000 citations according to Google Scholar. He is co-author with Richard Weber of “Pricing Communication Networks: Economics, Technology, and Modelling” (Wiley, 2003).
Le Song
Georgia Institute of Technology
Prof. Song is a famous graph network expert and has extensive experience in AI technology and engineering. He held a tenured professorship in the School of Computer Science at Georgia Institute of Technology and served as the deputy director of the Machine Learning Centre. He was the head of the Deep Learning team (P10) at Ant Financial and a researcher at the Dharma Academy.
Since 2008, Prof. Song initiated research in bio-computing at CMU and has achieved a series of breakthrough results in target discovery and drug design using machine learning methods. He has won many Best Paper awards in major machine learning conferences, such as NeurIPS, ICML and AISTATS to name but a few. As a leading artificial intelligence scholar, he has served as the regional chair of NeurIPS, ICML, ICLR, AAAI and IJCAI, the deputy editor of JMLR and IEEE TPAMI, and a board member of the International Machine Learning Conference. He was also a researcher at Google and a postdoctoral researcher at CMU.
Emil Björnson
Linköping University
Emil Björnson is an Associate Professor at Linköping University and Visiting Full Professor at the KTH Royal Institute of Technology, Sweden. He performs research on MIMO communications, radio resource allocation, machine learning for communications, and energy efficiency. He has authored the three textbooks and has made a large amount of simulation code publicly available.
He has received the 2018 IEEE Marconi Prize Paper Award in Wireless Communications, the 2019 EURASIP Early Career Award, the 2019 IEEE Communications Society Fred W. Ellersick Prize, the 2019 IEEE Signal Processing Magazine Best Column Award, the 2020 Pierre-Simon Laplace Early Career Technical Achievement Award, the 2020 CTTC Early Achievement Award, and the 2021 IEEE ComSoc RCC Early Achievement Award. He also received six Best Paper Awards at the conferences.
Yi Ma
EECS, UC Berkeley
Yi Ma is a Professor at the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research interests include computer vision, high-dimensional data analysis, and intelligent systems. Yi received his Bachelor’s degrees in Automation and Applied Mathematics from Tsinghua University in 1995, two Masters degrees in EECS and Mathematics in 1997, and a PhD degree in EECS from UC Berkeley in 2000. He has been on the faculty of UIUC ECE from 2000 to 2011, the principal researcher and manager of the Visual Computing group of Microsoft Research Asia from 2009 to 2014, and the Executive Dean of the School of Information Science and Technology of ShanghaiTech University from 2014 to 2017. He then joined the faculty of UC Berkeley EECS in 2018. He has published about 60 journal papers, 120 conference papers, and three textbooks in computer vision, generalized principal component analysis, and high-dimensional data analysis. He received the NSF Career award in 2004 and the ONR Young Investigator award in 2005. He also received the David Marr prize in computer vision from ICCV 1999 and best paper awards from ECCV 2004 and ACCV 2009. He has served as the Program Chair for ICCV 2013 and the General Chair for ICCV 2015. He is a Fellow of IEEE, ACM, and SIAM.
Simai He
Shanghai University of Finance and Economics
Simai He received his Ph.D. in operations research from Department of System Engineering and Engineering Management, City University of Hong Kong. He is a professor in Department of Management Science, Shanghai University of Finance and Economics, and also serves as Chief Scientist of Cardinal Operations. His research focuses on optimization theory, operations research and supply chain management. He has received the young scholar award of the operations research society of China, and the finalist ward in the 2021 INFORMS Franz Edelman competition.
Jing Liang
Huawei Technologies Co., Ltd.
Jing Liang is currently Technical Expert with Huawei Technologies Co., leading the forward-looking research and system design of intelligent communication in 5G/5G-Advanced system. Her research interests include intelligent communications, statistical signal processing, distributed algorithms, wireless system design and high performance computing. She received her Ph.D. degree in Electrical and Computer Engineering in 2002 from University of California, Davis, USA. She has twenty years’ rich experience in wireless communication and semiconductor industry, serving as system architect and algorithm expert in Silicon Labs, ST-Ericsson, UNISOC and Huawei.
Giuseppe Caire
Technical University of Berlin
Giuseppe Caire was born in Torino in 1965. He received the B.Sc. in Electrical Engineering from Politecnico di Torino in 1990, the M.Sc. in Electrical Engineering from Princeton University in 1992, and the Ph.D. from Politecnico di Torino in 1994.He has been a Professor with the Department of Mobile Communications at the Eurecom Institute, Sophia-Antipolis, France, a Professor of Electrical Engineering with the Viterbi School of Engineering, University of Southern California, Los Angeles, and he is currently an Alexander von Humboldt Professor with the Faculty of Electrical Engineering and Computer Science at the Technical University of Berlin, Germany.
He received the Jack Neubauer Best System Paper Award from the IEEE Vehicular Technology Society in 2003, the IEEE Communications Society and Information Theory Society Joint Paper Award in 2004 and in 2011, the Okawa Research Award in 2006, the Alexander von Humboldt Professorship in 2014, the Vodafone Innovation Prize in 2015, an ERC Advanced Grant in 2018, the Leonard G. Abraham Prize for best IEEE JSAC paper in 2019, the IEEE Communications Society Edwin Howard Armstrong Achievement Award in 2020, and he is a recipient of the 2021 Leibinz Prize of the German National Science Foundation (DFG). Giuseppe Caire is a Fellow of IEEE since 2005. He has served in the Board of Governors of the IEEE Information Theory Society from 2004 to 2007, and as officer from 2008 to 2013. He was President of the IEEE Information Theory Society in 2011. His main research interests are in the field of communications theory, information theory, channel and source coding with particular focus on wireless communications.
