MIIS 2025
International Workshop On Mathematical Issues In Information Sciences
数据科学国际研讨会
14th-16th August 2025
MIIS 2025
International Workshop On Mathematical Issues In Information Sciences
数据科学国际研讨会
Beijing University of Posts and Telecommunications
Professor Zhiyong Feng is a faculty member at the Beijing University of Posts and Telecommunications (BUPT), where she serves as Director of the Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing. She also acts as a Technical Advisor for the NGMN Alliance. Her research focuses on 5G mobile networks—specifically wireless architecture design and radio resource management—as well as cognitive wireless networks, encompassing spectrum sensing, dynamic spectrum management, universal signal detection/identification, and network information theory. Prof. Feng further contributes to standardization efforts within ITU-R, IEEE, ETSI, and CCSA.
Chinese Academy of Sciences
Peijun Li is a professor at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. His research focuses on inverse problems for partial differential equations, as well as the theory, algorithms, and applications of direct and inverse scattering problems for wave equations.
The Chinese University of Hong Kong
Wing-Kin Ma obtained his B.Eng. degree in electrical and electronic engineering (with first class honours) from the University of Portsmouth, U.K., in 1995. He received his M.Phil. and Ph.D. degrees, both in electronic engineering, from the Chinese University of Hong Kong (CUHK), Hong Kong, in 1997 and 2001, respectively. He received British Telecom Research and Technology Prize at the University of Portsmouth in 1995. His Ph.D. thesis was commended to be "of very high quality and well deserved honorary mentioning" by the Faculty of Engineering, CUHK in 2001.
Dr. Ma is currently a Professor with the Department of Electronic Engineering, CUHK. He was with the Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Taiwan, as an Assistant Professor from Aug. 2005 to Aug. 2007. Prior to becoming a faculty, he held various research positions at McMaster University, Canada, CUHK, Hong Kong, and the University of Melbourne, Australia.
Dr. Ma is well recognized for his contributions to optimization in signal processing and communications, which led him to the escalation of the IEEE Fellow grade in 2017. Most recently, he also extended his research interest to the applications of optimization to areas such as remote sensing, data analytics and machine learning. His recent research activities can be categorized into two broad topics, namely,
i) MIMO transceiver designs and optimization in wireless communications, with our latest focuses being on coarsely quantized massive MIMO, symbol-level precoding, and model-inspired deep MIMO detection, and
ii) statistical and optimization aspects of structured matrix factorizations (such as non-negative matrix factorization), with applications to hyperspectral remote sensing, blind source separation, data science and machine learning.
Dr. Ma is active in the Signal Processing Society. He has rich experience in editorial service: Associate Editor, and then later, Senior Area Editor, and then later, Editor-in-Chief, of IEEE Transactions on Signal Processing (2007-2011, 2016-2018, 2021-2023, respectively); a Guest Editor of the IEEE Signal Processing Magazine Special Issue on "Convex Optimization for Signal Processing" in 2010; a Guest Editor of IEEE Journal on Selected Areas of Communications on the special issue of "Signal Processing Techniques for Wireless Physical Layer Security" in 2013; the Lead Guest Editor of the IEEE Signal Processing Magazine Special Issue on "Signal and Image Processing in Hyperspectral Remote Sensing" in 2014; an Associate Editor of IEEE Signal Processing Letters (2009-2012); and an Associate Editor of Signal Processing (2013-2018). He was a Technical Committee Member of the Signal Processing Theory and Methods (SPTM) Technical Committee, IEEE Signal Processing Society (2012-2017), and Signal Processing for Communications and Networking (SPCOM) Technical Committee, IEEE Signal Processing Society (2015 - 2020). He served Technical Program Committees of many conferences. He was a Technical Program Co-Chair of SPAWC 2017, a Special Session Co-Chair of SSP 2018, and a Technical Program Co-Chair of ICASSP 2023. He was the IEEE SPS Regional Director-at-Large for Region 10 (2020-2021).
Dr. Ma received a 2009 Exemplary Teaching Award given by the Faculty of Engineering, CUHK, the Research Excellence Award 2013-2014 by CUHK (only one awardee in each faculty), the 2015 IEEE Signal Processing Magazine Best Paper Award, and the 2016 IEEE Signal Processing Letters Best Paper Award, and the 2018 IEEE Signal Processing Best Paper Award. He is a co-receipent of a WHISPERS 2011 Best Paper Award. His students received ICASSP Best Student Paper Awards in 2011 and 2014, and one student was a finalist of the ICASSP 2017 Best Student Paper Contest. He has a paper that was named by Google Scholar as a Classic Paper; see here and here.
In addition to pushing the research frontier, Dr. Ma also wrote overview articles and gave tutorials on important technologies, with the goals of modernizing key concepts and making advanced techniques much more accessable to readers. An example is his tutorial paper on semidefinite relaxation in IEEE Signal Processing Magazine, which received the 2015 IEEE Signal Processing Magazine Best Paper Award and was cited for more than 3,000 times; see here. He was a tutorial speaker in EUSIPCO 2011, STATOS 2013, and ICASSP 2014. He was a 2018-2019 IEEE Signal Processing Society Distinguished Lecturer.
Berlin University of Technology
Rolf H. Möhring is professor emeritus for applied mathematics and computer science at Berlin University of Technology. His more than 120 papers concern graph algorithms, combinatorial optimization, scheduling, logistics, and industrial applications. He was chair of the German OR Society and the Mathematical Optimization Society. Between 2014 and 2022 Rolf has been visiting professor at Beijing University of Technology and Hefei University, and a PIFI fellow of the Chinese Academy of Sciences (CAS).
The Hong Kong Polytechnic University
Prof. QIAO Zhonghua is Chair Professor of Numerical Analysis and Scientific Computing at The Hong Kong Polytechnic University. He earned his PhD from Hong Kong Baptist University in 2006. Following this, he was a postdoctoral research fellow at North Carolina State University (2006–2008) and subsequently served as a research assistant professor at Hong Kong Baptist University (2008–2011). Prof. Qiao joined The Hong Kong Polytechnic University as an assistant professor in 2011, rising to associate professor in.
Universität Bremen
Tanja Schultz is Professor and Director of the Cognitive Systems Lab at the University of Bremen, Germany, and Fellow of ISCA (2016), IEEE (2020), AAIA (2021), and ELLIS (2024). She received her Diploma and Doctoral degrees in Informatics from the University of Karlsruhe, Germany. Prior to her time in Bremen, she was a professor at KIT, Germany for seven years and a researcher and adjunct research professor at Carnegie Mellon University in the USA for over 20 years. In her research, she and her team blend machine learning with innovations in biosignal processing to create biosignal-adaptive Artificial Intelligence (AI). Her focus is on putting the human center stage and in the loop to dynamically adapt AI to human needs. She has received several awards for her contributions and currently advancing this field as spokesperson of the University’s profile area “Minds, Media, Machines”, as spokesperson of the DFG Research Unit Lifespan AI, and as co-speaker of two research training groups that put the human in the loop of AI systems.
Lehigh University
Dr. Terlaky has published four books, edited over ten books and journal special issues and published over 200 research papers. Topics include theoretical and algorithmic foundations of mathematical optimization; nuclear reactor core reloading, oil refinery, VLSI design, radiation therapy treatment, and inmate assignment optimization; quantum computing.
Dr. Terlaky is Editor-in-Chief of the Journal of Optimization Theory and Applications. He has served as associate editor of ten journals and has served as conference chair, conference organizer, and distinguished invited speaker at conferences all over the world. He was general Chair of the INFORMS 2015 Annual Meeting, a former Chair of INFORMS’ Optimization Society, Chair of the ICCOPT Steering Committee of the Mathematical Optimization Society, Chair of the SIAM AG Optimization, and Vice President of INFORMS. Now he co-Chairs the QCOR Committee of INFORMS. He received the MITACS Mentorship Award; Award of Merit of the Canadian Operational Research Society, Egerváry Award of the Hungarian Operations Research Society, H.G. Wagner Prize of INFORMS, Outstanding Innovation in Service Science Engineering Award of IISE. He is Fellow of INFORMS, SIAM, IFORS, The Fields Institute, and elected Fellow of the Canadian Academy of Engineering.
National University of Singapore
Kim-Chuan Toh is a Provost’s Chair Professor in the Department of Mathematics at the National University of Singapore. He works extensively on convex programming, particularly large-scale matrix optimization problems such as semidefinite programming, and optimization problems arising from machine learning and statistics. Currently he serves as a co-Editor for Mathematical Programming, an Area Editor for Mathematical Programming Computation, and Associate Editor for several journals including SIAM J. on Optimization, and Operations Research. He received the INFORMS Optimization Society Farkas Prize in 2017, and the triennial Mathematical Optimization Society Beale-Orchard Hays Prize in 2018 and Paul Tseng Memorial Lectureship in Continuous Optimization in 2024. He is a Fellow of the Singapore National Academy of Science, and a Fellow of SIAM.
The Chinese University of Hong Kong, Shenzhen
DeLiang Wang received the B.S. degree and the M.S. degree from Peking (Beijing) University and the Ph.D. degree in 1991 from the University of Southern California all in computer science. From 1991 to 2025, he was with the Department of Computer Science & Engineering and the Center for Cognitive and Brain Sciences at The Ohio State University, where he was a Professor and University Distinguished Scholar. He recently joined the School of Data Science, The Chinese University of Hong Kong, Shenzhen. He received the U.S. Office of Naval Research Young Investigator Award in 1996, the 2008 Helmholtz Award from the International Neural Network Society, and the 2025 Neural Networks Pioneer Award from the IEEE Computational Intelligence Society. He also received the 2007 Outstanding Paper Award of the IEEE Computational Intelligence Society and the 2019 Best Paper Award of the IEEE Signal Processing Society. He is a Fellow of IEEE, ISCA, and AAIA, and currently serves as the Editor-in-Chief of Neural Networks.
University of Toronto
Wei Yu received the BASc degree in Computer Engineering and Mathematics from the University of Waterloo, Waterloo, Ontario, Canada in 1997 and MS and PhD degrees in Electrical Engineering from Stanford University, Stanford, CA, in 1998 and 2002, respectively. Since 2002, he has been with the Electrical & Computer Engineering Department at the University of Toronto, Toronto, Ontario, Canada, where he is now a Professor and holds a Canada Research Chair in Information Theory and Wireless Communications. His main research interests include network information theory, optimization, wireless communications and broadband access networks.
Duke University
Hongkai Zhao is the Ruth F. DeVarney Distinguished Professor and Chair of the Mathematics Department at Duke. He obtained his B.S. in Applied Mathematics in 1990 from Peking University and his Ph.D in Mathematics from UCLA in 1996.
His research interest includes scientific computing, numerical analysis, inverse problems and imaging, and scientific machine learning. He was awarded Sloan Research Fellowship, the Feng Kang Prize for Scientific Computing. He is a Fellow of SIAM.
