Academic Seminar | Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications

Topic: Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications

Time & Date: 11:00-12:00, Feb.13, 2017

Venue: Governing Board Meeting Room, Dao Yuan Building

Speaker: Prof. Chong-Yung CHI (Professor at National Tsing Hua University)

Abstract: Convex optimization has been recognized as a powerful tool for solving many scientific and engineering problems, including communications (e.g., coordinated transmit beamforming, resource allocation, secret communications, and energy harvesting) and signal processing (e.g., blind source separation, biomedical image analysis, and hyperspectral image analysis). In-depth and efficient learning of the convex optimization theories and tools can equip one with a new degree of freedom and the capability for solving challenging real-world problems. However, most of mathematical books and literature may not be very accessible to engineering students and professionals (especially for the beginners) due to lack of enough fundamental details and tangible linkage between mathematical theory and applications. In this talk, Part I reviews mathematical fundamentals of convex optimization. Then, like a guided journey/exploration, Part II presents how some fundamentals introduced in Part I are beautifully applied to the cutting-edge research on hyperspectral imaging in remote sensing: a super-fast hyperspectral unmixing algorithm based on Craig’s criterion. Finally, we draw some conclusions.

Biography: Chong-Yung Chi received the Ph.D. degree in Electrical Engineering from the University of Southern California, Los Angeles, California, in 1983. From 1983 to 1988, he was with the Jet Propulsion Laboratory, Pasadena, California. He has been a Professor with the Department of Electrical Engineering since 1989 and the Institute of Communications Engineering (ICE) since 1999 (also the Chairman of ICE during 2002-2005), National Tsing Hua University, Hsinchu, Taiwan. He has published more than 210 technical papers (with citations more than 3400 times by Google-Scholar), including more than 80 journal papers (mostly in IEEE Trans. Signal Processing), more than 130 peer-reviewed conference papers, 4 book chapters, and 2 books, including a new textbook (432 pages), Convex Optimization for Signal Processing and Communications, CRC Press, 2017 (which has been popularly used in an invited 2-week intensive short course 12 times in 8 major universities in China since 2010 before its publication). His current research interests include signal processing for wireless communications, convex analysis and optimization for blind source separation, biomedical and hyperspectral image analysis.