WQCES-2026

Dr. Bor-Sen Chen received B.S. degree in electrical engineering from Tatung Institute of Technology, Taipei, Taiwan, in 1970, and M.S. degree of geophysics from the National Central University, Chungli, Taiwan in 1973, and Ph.D degree from University of Southern California, Los Angeles, CA, USA, in 1982. From 1973 to 1987, he had been a lecturer, associate professor, and professor of Tatung Institute of Technology. From 1987, he has been a professor, chair professor and Tsing Hua distinguished chair professor with the Department of Electrical Engineering of National Tsing Hua University, Hsinchu, Taiwan. His research interests include robust control theory and engineering design, robust signal processing and communication system design, systems biology and their applications. He has published more than 370 journal papers, including 140 papers in control, 80 papers in signal processing and communication, and 120 papers in systems biology. He has also published 14 monographs, including a recent book, Physics-Generated AIs of Robust Nonlinear Filter and Control Designs for Complicated Man-Made Machines, CRC press, 2026. He was the recipient of numerous awards for his academic accomplishments in robust control, fuzzy control, H∞ control, stochastic control, signal processing and systems biology, including 4 Outstanding Research Awards of National Science Council, Academic Award in Engineering from Ministry of Education, National Chair Professor of the Ministry of Education, Best Impact Award of IEEE Taiwan Section for his SCI citations of IEEE members in Taiwan, etc. His current research interest focuses on the H∞ team formation network tracking control of large-scale UAVs, large-scale biped robots and their team cooperation, physical generative AIs-driven robust nonlinear H∞ filter and control designs of nonlinear quantum systems under multiple weak measurements, systems medicine design via DNN-based DTI model and design specifications, etc. He is a life fellow of IEEE. Dr. Chen is a 1% scientist according to the World’s Top 2% Scientists of Stanford University.