Massimo Alioto

National University of Singapore

Zhiming Chen

Academy of Mathematics and Systems Science, Chinese Academy of Sciences

Zhiming Chen is a Professor of Mathematics in Academy of Mathematics and Systems Science of Chinese Academy of Sciences. His research focuses on developing numerical methods for solving partial diffential equations with particular applications in computational electromagnetism and seismic imaging. He is an invited speaker of ICM in 2016 and an elected member of Chinese Academy of Sciences.

Ambros Gleixner

HTW Berlin
Zuse Institute Berlin

Ambros Gleixner is Professor for Discrete Mathematics and Operations Research at the university of applied sciences HTW Berlin and an affiliated researcher at Zuse Institute Berlin in the Department for AI in Science, Society, and Technology. His research focuses on computational aspects of exact mixed-integer linear and nonlinear programming. Having received both his diploma and Ph.D. degree in mathematics from the Berlin Institute of Technology in Germany, he is one of the main driving forces behind the development of the optimization framework SCIP, which today provides the fastest open-source MINLP solver. Motivated by this, his main research interest lies in the design of structure-specific algorithms that help to improve general-purpose solvers both in terms of efficiency and numerical accuracy. As a result, Prof. Gleixner has collaborated closely with companies like SAP, Siemens, and Berlin startup felmo to apply his optimization expertise to real-world problems.

Yongtao Guan

Shenzhen Research Institute of Big Data

Prof. Yongtao Guan is Presidential Chair Professor, Fellow of American Statistical Association. He was Leslie O. Barnes Professor and Chair of Management Science,  University of Miami Herbert Business School, Director of Deloitte Institute for Research and Practice in Analytics (DIRPA).

Haizhou Li

Shenzhen Research Institute of Big Data

Haizhou Li is a Presidential Chair Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen, China.

Dr. Li’s research interests include automatic speech recognition, natural language processing and neuromorphic computing. He has served as the Editor-in-Chief of IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING (2015-2018). Dr. Li was the recipient of National Infocomm Awards 2002, Institution of Engineers Singapore (IES) Prestigious Engineering Achievement Award 2013 and 2015, President's Technology Award 2013 in Singapore. Dr. Li was the President of International Speech Communication Association (2015-2017), President of Asia Pacific Signal and Information Processing Association ( 2015-2016), President, Asian Federation of Natural Language Processing (AFNLP, 2017-2018). Dr. Li is a Vice President of IEEE Signal Processing Society (2024-2026). Dr. Li is a Fellow of the IEEE, ISCA, and the Academy of Engineering Singapore.

Xin Liu

Academy of Mathematics and System Science, Chinese Academy of Sciences

Xin Liu is a Feng Kang Distinguished Professor of Academy of Mathematics and Systems Science, Chinese Academy of Sciences. He received his bachelor degree from the School of Mathematical Sciences, Peking University in 2004, and Ph.D. from University of Chinese Academy of Sciences in 2009. His research interests include Riemannian optimization, distributed optimization and optimization in material science. He was granted the the Excellent Young Scientists Fund and National Science Fund for Distinguished Young Scholars in 2016 and 2021, respectively. He is serving as an associate editor of “Mathematical Programming Computation”, “Asia-Pacific Journal of Operational Research”, “Journal of Computational Mathematics” and “Journal of Industrial and Management Optimization”.

Ya-Feng Liu

Academy of Mathematics and System Science, Chinese Academy of Sciences

Ya-Feng Liu (M'12--SM'18) received the B.Sc. degree in applied mathematics from Xidian University, Xi'an, China, in 2007, and the Ph.D. degree in computational mathematics from the Chinese Academy of Sciences (CAS), Beijing, China, in 2012. During his Ph.D. study, he was supported by the Academy of Mathematics and Systems Science (AMSS), CAS, to visit Professor Zhi-Quan (Tom) Luo at the University of Minnesota (Twins Cities) from 2011 to 2012. After his graduation, he joined the Institute of Computational Mathematics and Scientific/Engineering Computing, AMSS, CAS, Beijing, China, in 2012, where he became an Associate Professor in 2018. His main research interests are nonlinear optimization and its applications to signal processing, wireless communications, and machine learning.

Dr. Liu currently serves as an Associate Editor for the IEEE Transactions on Signal Processing, and the Journal of Global Optimization, and as a Guest Editor for the IEEE Journal on Selected Areas in Communications. He served as an Editor for the IEEE Transactions on Wireless Communications (2019--2022) and an Associate Editor for the IEEE Signal Processing Letters (2019--2023). He is an elected member of the Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) of the IEEE Signal Processing Society (2020--2022 and 2023--2025). He received the Best Paper Award from the IEEE International Conference on Communications (ICC) in 2011, the Chen Jingrun Star Award from the AMSS in 2018, the Science and Technology Award for Young Scholars from the Operations Research Society of China in 2018, the 15th IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2020, and the Science and Technology Award for Young Scholars from the China Society for Industrial and Applied Mathematics in 2022. Students supervised and co-supervised by him won the Best Student Paper Award from the International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) in 2015 and the Best Student Paper Award of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) in 2022.

Xiaodong Luo

Shenzhen Research Institute of Big Data

Professor Xiaodong Luo received a Ph.D. degree in Operations Research from MIT in 1995 and an M.S. degree in Computer Science from McMaster University in 1991. He joined Shenzhen Research Institute of Big Data in 2020 and he is currently a principal research scientist there, leading an effort to develop LP/MIP solvers. Before that, he worked at Sabre for 18 years. He has worked on many airline problems such as fleet assignment, crew scheduling, Ops Recovery, as well as pricing and revenue management. He also has worked for i2 Technologies for 6 years on Supply Chain management. His interest lies in designing simple models and using advanced solution techniques to solve complex practical problem.

Yi Ma

The University of Hong Kong

Yi Ma is the inaugural director of the Data Science Institute and the new head of the Computer Science Department of the University of Hong Kong. He has been a professor at the EECS Department at the University of California, Berkeley since 2018. His research interests include computer vision, high-dimensional data analysis, and integrated intelligent systems. Yi received his two bachelor’s degrees in Automation and Applied Mathematics from Tsinghua University in 1995, two master’s 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 joined the faculty of UC Berkeley EECS in 2018. He has published over 60 journal papers, 120 conference papers, and three textbooks in computer vision, generalized PCA, 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.

Yurii Nesterov

UCLouvain

Yurii Nesterov is an applied mathematician recognized for his work on development of efficient numerical methods for optimization problems. His main results are related to comprehensive complexity analysis of the optimization schemes and development of optimal methods for Convex Optimization. Nesterov was born in Moscow (USSR). He graduated from Moscow State University with a degree in Computational mathematics with PhD degree from Moscow Institute of Problems in Control. He joined Central Economical and Mathematical Institute of Soviet Academy of Sciences in 1977. Since 1993, he works in Center of Operations Research and Econometrics in Catholic University of Louvain (Belgium). He is a recipient of several prestigious scientific awards (Dantzig Prize 2000, von Neumann Theory Prize 2009, Euro Gold Medal 2016) and is a member of both the National academy of Sciences and the Academia Europaea.

Xipeng Qiu

 Fudan University

Xipeng Qiu, professor at the School of Computer Science of Fudan University, his research mainly focuces on the fundamental models of natural language processing. He has published over 100 papers and received 15,000 citations. He led the development of open-source project FudanNLP and FastNLP, which have been adopted by hundreds of organizations domestically and internationally. He also released Chinese pre-trained models like MOSS, CPT, and BART-Chinese, which have been downloaded over 1 million times. Currently, MOSS has become one of the most influential open-source large language models.

Gianluca Setti

CEMSE, KAUST

Gianluca Setti received a Dr. Eng. degree (honors) and a Ph.D. degree in Electronic Engineering from the University of Bologna, in 1992 and in 1997. From 1997 to 2017 he was with the Department of Engineering, University of Ferrara, Italy, as an Assistant- (1998-2000), Associate- (2001-2008) and as a Professor (2009-2017) of Circuit Theory and Analog Electronics. From 2017 to 2022, he was Professor of Electronics, Signal and Data Processing at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy. He is currently Dean of the Computer, Electrical, Mathematical Science and Engineering at KAUST, Saudi Arabia, where is also a Professor of Electrical and Computer Engineering.

Dr. Setti has held various visiting positions, most recently at the University of Washington, at IBM T. J. Watson Laboratories, and at EPFL (Lausanne).

His research interests include nonlinear circuits, recurrent neural networks, statistical signal processing, electromagnetic compatibility, compressive sensing and statistical signal processing, biomedical circuits and systems, power electronics, design and implementation of IoT nodes, circuits and systems for machine learning.

He is the recipient of numerous awards, including the 2004 IEEE Circuits and Systems (CAS) Society Darlington Award, the 2013 IEEE CASS Guellemin-Cauer Award, the 2013 IEEE CASS Meritorious Service Award and the 2019 IEEE Transactions on Biomedical Circuits and Systems Best Paper Award.

He was a Distinguished Lecturer of the IEEE CAS Society (2004-2005 and 2013-2014) of the same Society, a member of the CASS Board of Governors (2005-2008), and served as the 2010 CAS Society President, as well as the 2018 General Chair of the IEEE International Symposium on Circuits and Systems (ISCAS) in Florence, Italy.

In 2012, he was the Chair of the IEEE Strategic Planning Committee of the Publication Services and Products Board (PSPB-SPC) and in 2013-2014 he was the first non North-American Vice President of the IEEE for Publication Services and Products. He is currently serving as the Editor-in-chief of the Proceedings of the IEEE.

Jan Steinheimer-Froschauer

Frankfurt Institute for Advanced Studies (FIAS)

Dr. Jan Steinheimer-Froschauer is a fellow at the Frankfurt Institute for Advanced Studies where he does theoretical research on the properties of strongly interacting matter and the origin of mass in high energy nuclear collisions and astrophysical observations. He received his PhD from the Goethe University's Institute for Theoretical Physics and the Helmholz Graduate School for Heavy Ion Research (HGS Hire) on simulations of relativistic nuclear collisions undergoing non-equilibrium phase transitions. He received a Feodor-Lynen-Fellowship of the Alexander von Humboldt Association to work as a postdoctoral researcher at Lawrence Berkeley National Laboratory in 2011/12 and was awarded the ‘Carl Wilhelm Fück-Preis der Walter Greiner Gesellschaft zur Förderung der physikalischen Grundlagenforschung’ in 2018.

A focus of his current work is to implement new ML and DL methods to analyze the wealth of data produced by novel collider experiments and accelerate simulation methods such as relativistic fluid dynamics and quantum molecular transport theory. He is a convener of the Big Data Analytics topic group of the ‘Digital Transformation on Research of Universe and Matter’ organization of the German Physical Society.

Defeng Sun

The Hong Kong Polytechnic University

Professor Defeng Sun is currently Chair Professor of Applied Optimization and Operations Research at the Hong Kong Polytechnic University and the President of the Hong Kong Mathematical Society. He mainly publishes in non-convex continuous optimization and machine learning. Together with Professor Kim-Chuan Toh and Dr Liuqin Yang, he was awarded the triennial 2018 Beale--Orchard-Hays Prize for Excellence in Computational Mathematical Programming by the Mathematical Optimization Society. He served as editor-in-chief of Asia-Pacific Journal of Operational Research from 2011 to 2013 and he now serves as associate editor of Mathematical Programming, SIAM Journal on Optimization, Journal of Optimization Theory and Applications, Journal of the Operations Research Society of China, Journal of Computational Mathematics, and Science China: Mathematics. In 2020, he was elected as a Fellow of the societies CSIAM and SIAM and in 2021 he has received the Distinguished Collaborator Award from both the Hong Kong Research Center and Huawei Noah's Ark Lab for the contributions on developing efficient and robust techniques for solving huge scale linear programming models. In 2022, he received the RGC Senior Research Fellow Scheme award.

Takashi Tsuchiya

National Graduate Institute for Policy Studies

Takashi Tsuchiya is a full professor of National Graduate Institute for Policy Studies (GRIPS), Tokyo, Japan. He is the director of the Center of Data Science of GRIPS. His area of research is mathematical engineering and statistical mathematics, mainly focused on optimization and numerical computation. He was born in Tokyo in 1960, and earned his BS, MS and PhD from the University of Tokyo. He joined the Institute of Statistical Mathematics, Tokyo in 1986 after finishing his master course, and stayed there until 2010 before he moved to the current institution. He has been working on algorithms and analysis of LP, SOCP and SDP and its applications. His recent research includes analysis and development of algorithms for ill-conditioned/singular SDPs, information geometry of conic programs, mathematical modeling and data analysis of Covid-19 spread, restoration of society of ancient Mesopotamia village from cuneiform data, etc., etc. He is a member of SIAM and MOS. He serves as a senior editor of Optimization Methods and Software. He was a principle editor of Journal of Computational and Applied Mathematics, and served as a vice president of JSIAM in 2017-2018 and a selection committee member of Kyoto Prize in 2006 and 2014. He was a PC member of ICCOPT2007 and co-chaired LOC of ICCOPT2016 Tokyo.

Gabriel Wittum

CEMSE, KAUST

Dr. Wittum studied Mathematics and Physics at the University of Karlsruhe (Diploma 1983) and got his PhD (Dr. rer. nat.) from the University of Kiel (1987). At the University of Heidelberg he did his habilitation (1991) and got his first professorship in Numerical Analysis. He then was director of the Institute for Computer Applications at the University of Stuttgart (1994-98) and of the Simulation in Technology Center at the University of Heidelberg (1998-2008). In 2008 he moved to the University of Frankfurt as Director of the Gauss Center of Scientifc Computing (G-CSC). His scientifc interests are developing models, methods and software tools for the efficient detailed simulation of problems from the empirical sciences. In particular topics like fast solvers for large systems of equations, multiscale numerics and homogenisation, natural discretisation methods, inverse modelling and optimisation and the development of simulation software systems. He also works on numerical methods for high dimensional problems, numerical geometry and visualisation. His research contributes to Computational Medicine, Pharmacy and Neurosciences as well as Economics, Environmental Science and Energy Technology.

Jinchao Xu

AMCS, KAUST
The Pennsylvania State University

Jinchao Xu is Professor of Applied Mathematics and Computational Sciences at King Abdullah University of Science and Technology, Director of KAUST-SRIBD Joint Lab for Scientific Computing and Machine Learning, Verne M. Willaman Professor of Mathematics and Director of the Center for Computational Mathematics and Applications at the Penn State University. His main research interests are in the design, analysis, and application of numerical methods, especially multilevel and adaptive finite element methods, for systems of partial differential equations and problems with direct applications to science and engineering. His other research interests include the mathematical analysis, modeling and applications of deep neural networks. He was an invited speaker at the International Congress for Industrial and Applied Mathematics in 2007 as well as at the International Congress for Mathematicians in 2010. He is a Fellow of the Society for Industrial and Applied Mathematics (SIAM), the American Mathematical Society (AMS), the American Association for the Advancement of Science (AAAS), the European Academy of Sciences (EURASC) and the Academia Europaea.

Hai Yang

The Hong Kong University of Science and Technology

Prof. Hai Yang is a highly regarded Chair Professor at The Hong Kong University of Science and Technology, with a global reputation as an active scholar in the transportation field. He has published over 300 papers in leading international journals, including Transportation Research, Transportation Science, and Operations Research, and has an impressive SCI H-index citation rate of 72. Prof. Yang has received numerous national and international awards, including the 2020 Frank M. Masters Transportation Engineering Award and the 2021 Francis C. Turner Award of the American Society of Civil Engineers. He was also appointed as Chang Jiang Chair Professor of the Ministry of Education of PR China and served as the Editor-in-Chief of Transportation Research (TR) Part B: Methodological from 2013 to 2018. Currently, Prof. Yang serves on the Distinguished Editorial Board of Transportation Research Part B: Methodological, Scientific Council of Transportation Research Part C: Emerging Technologies, and serves as an Advisory Editor of Transportation Science.

Raymond Yeung

The Chinese University of Hong Kong

Raymond W. Yeung is the Choh-Ming Li Professor of Information Engineering at The Chinese University of Hong Kong (CUHK). He received his B.S., M.Eng., and PhD degrees from Cornell University in Electrical Engineering in 1984, 1985, and 1988, respectively. Before joining CUHK in 1991, he was a Member of Technical Staff at AT&T Bell Laboratories. A co-founder of the field of network coding, he has been serving as Co-Director of the Institute of Network Coding at CUHK since 2010. He is the author of the books A First Course in Information Theory (Kluwer Academic/Plenum Publishers, 2002) and Information Theory and Network Coding (Springer 2008), which have been adopted by over 100 institutions around the world. In spring 2014, he gave the first MOOC in the world on information theory that reached over 25,000 students.

He is a recipient of the 2005 IEEE Information Theory Society Paper Award, the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation in 2007, the 2016 IEEE Eric E. Sumner Award, the 2018 ACM SIGMOBILE Test-of-Time Paper Award, the 2021 IEEE Richard W. Hamming Medal, and the 2022 Claude E. Shannon Award. In 2015, he was named an Outstanding Overseas Chinese Information Theorist by the China Information Theory Society. He is a Fellow of the IEEE, Hong Kong Academy of Engineering Sciences, Hong Kong Institution of Engineers, and the US National Academy of Inventors.