Prof. Chong-Yung Chi
 IEEE Fellow, AAIA Fellow
 National Tsing Hua University, Taiwan

Biography: Chong-Yung Chi (祁忠勇) received B.S. degree from Tatung Institute of Technology, Taipei, Taiwan in 1975, Master degree from National Taiwan University, Taipei, Taiwan in 1977, and Ph.D. degree from the University of Southern California, Los Angeles, California, in 1983 all in Electrical Engineering. Currently, he is Professor of National Tsing Hua University, Hsinchu, Taiwan. He has published more than 240 technical papers (with citations more than 6400 times by Google-Scholar), including more than 85 journal papers (mostly in IEEE Trans. Signal Processing), more than 140 peer-reviewed conference papers, 3 book chapters, and 2 books, including a textbook, Convex Optimization for Signal Processing and Communications from Fundamentals to Applications, CRC Press, 2017 (which has been popularly used in a series of invited intensive short courses at 10 top-ranking universities in Mainland China since 2010 before its publication). He received 2018 IEEE Signal Processing Society Best Paper Award, entitled “Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization,” IEEE Trans. Signal Processing, vol. 62, no. 21, Nov. 2014. His current research interests include signal processing for wireless communications, convex analysis and optimization for blind source separation, biomedical and hyperspectral image analysis, and graph based learning and signal processing.

He is an IEEE Fellow and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). He has been a Technical Program Committee member for many IEEE sponsored and co-sponsored workshops, symposiums and conferences on signal processing and wireless communications, including Co-Organizer and General Co-Chairman of 2001 IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC). He was an Associate Editor (AE) for four IEEE Journals, including IEEE Trans. Signal Processing for 9 years (5/2001~4/2006, 1/2012~12/2015), and he was a member of Signal Processing Theory and Methods Technical Committee (SPTM-TC) (2005-2010), a member of Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) (2011-2016), and a member of Sensor Array and Multichannel Technical Committee (SAM-TC) (2013-2018), IEEE Signal Processing Society.

Prof. Ying Tan
Peking University, China

Biography: Ying Tan (Senior Member, IEEE) received the B.Eng., M.S., and Ph.D. degrees from Southeast University, Nanjing, China, in 1985, 1988, and 1997, respectively.,He is a Full Professor and a Ph.D. Advisor with the School of EECS, and the Director of Computational Intelligence Laboratory, Peking University, Beijing, China. He is the inventor of Fireworks Algorithm. He worked as a Professor with the Faculty of Design, Kyushu University, Fukuoka, Japan, in 2018, a Senior Research Fellow with Columbia University, New York, NY, USA, in 2017, and a Research Fellow with the Chinese University of Hong Kong, Hong Kong, in 1999 and from 2004 to 2005. His research interests include computational intelligence, swarm intelligence, deep neural networks, machine learning, data mining, and intelligent information processing for information security and financial prediction. He has published more than 350 papers in refereed journals and conferences in these areas, and authored/coauthored 12 books, including Fireworks Algorithm (Springer in 2015), and GPU-Based Parallel Implementation of Swarm Intelligence Algorithm (Morgan Kaufmann and Elsevier in 2016), and received five invention patents.,Prof. Tan won the Second-Class Natural Science Award of China in 2009 and the Second-Class Natural Science Award of Ministry of Education of China in 2019 and many best paper awards. He serves as the Editor-in-Chief for the IASEI Transactions on Swarm Intelligence and the International Journal of Computational Intelligence and Pattern Recognition, and an Associate Editor for the IEEE Transactions on Cybernetics, the IEEE Transactions on Neural Networks and Learning System, Neural Networks, and the International Journal of Swarm Intelligence Research. He also served as an Editor of Springer’s Lecture Notes on Computer Science for 40+ volumes, and a guest editors of several referred journals, including the IEEE/ACM Transactions on Computational Biology and Bioinformatics, Information Science, Neurocomputing, Natural Computing, and Swarm and Evolutionary Optimization. He has been the Founding General Chair of the ICSI international conference series since 2010 and the DMBD conference series since 2016.

Prof. Chun-Yi Su
Concordia University, Canada

Biography: Dr. Chun-Yi Su received his Ph.D. degrees in control engineering from South China University of Technology in 1990. After a seven-year stint at the University of Victoria, he joined the Concordia University in 1998, where he is currently a Professor of Mechanical and Industrial Engineering and holds the Concordia Research Chair in Control. His research covers control theory and its applications to various mechanical systems, with a focus on control of systems involving hysteresis nonlinearities. He is the author or co-author of over 500 publications, which have appeared in journals, as book chapters and in conference proceedings. He has been identified as 2019, 2020 and 2021 Highly Cited Researchers from Clarivate.

Dr. Su has served as Associate Editor for several journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Cybernetics, and several other journals. He is a Distinguished Lecturer of IEEE RA Society. He served for many conferences as an Organizing Committee Member, including the General Chairs and Program Chairs.

Prof. Wenwu Wang
Professor of Signal Processing and Machine Learning
AI Fellow of Surrey Institute for People Centred Artificial Intelligence
Chair of IEEE SPS Machine Learning for Signal Processing Technical Committe
University of Surrey, UK

Biography: Wenwu Wang (Senior Member, IEEE) is currently a Professor of signal processing and machine learning, and the Co-Director of the Machine Audition Lab, Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, U.K. He is also an AI Fellow with the Surrey Institute for People Centred Artificial Intelligence. His research interests include signal processing, machine learning and perception, artificial intelligence, machine audition (listening), and statistical anomaly detection. He has coauthored more than 350 papers in these areas. He is involved as Principal or Co-Investigator in more than 30 research projects, funded by U.K. and EU research councils, and industry which include BBC, NPL, Samsung, Tencent, Huawei, Saab, Atlas, and Kaon. He is the elected Chair of IEEE Signal Processing Society (SPS) Machine Learning for Signal Processing Technical Committee, the Vice Chair of the EURASIP Technical Area Committee on Acoustic Speech and Music Signal Processing, a Board Member of IEEE SPS Technical Directions Board. He is an Associate Editor for the IEEE/ACM Transactions on Audio Speech and Language Processing, an Associate Editor for (Nature) Scientific Report, and Specialty Editor in Chief of Frontier in Signal Processing. He was the Senior Area Editor during 2019–2023, and an Associate Editor for IEEE Transactions on Signal Processing during 2014–2018. He is an invited keynote or plenary Speaker on more than 20 international conferences and workshops, and a Member of the technical program committee for more than 100 international conferences or workshops.