Guest lecture by Professor Chong-Yung Chi, National Tsing Hua University, Hsinchu, Taiwan
20.09.2018 kl. 10.00 - 12.00
Title: Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications
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. In this tutorial, Part I introduces some mathematical fundamentals of convex optimization. Then, like a guided journey/exploration, Part II presents how some fundamentals introduced in Part I are applied to the cutting-edge research on wireless communications and signal processing problems.
Part I: Fundamentals of Convex Optimization
● Convex sets & convex functions
● Convex optimization problems & convex approximations
● Dual problems & KKT conditions
Part II: Cutting Edge Applications
● Robust hybrid beamforming for massive MIMO enabled heterogeneous cellular networks
● Nonnegative blind source separation: Hyperspectral unmixing and/or Super resolution images
Chong-Yung Chi (祁忠勇) 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 220 technical papers (with citations more than 4300 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, Boca Raton, FL, 2017 (which has been popularly used in an invited 2-week intensive short course 15 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.
Dr. Chi is a senior member of IEEE. 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), and Co-Chair of Signal Processing for Communications (SPC) Symposium, ChinaCOM 2008 & Lead Co-Chair of SPC Symposium, ChinaCOM 2009. He was an Associate Editor (AE) of IEEE Trans. Signal Processing (5/2001~4/2006, 1/2012~12/2015), IEEE Trans. Circuits and Systems II (1/2006-12/2007), IEEE Trans. Circuits and Systems I (1/2008-12/2009), AE of IEEE Signal Processing Letters (6/2006~5/2010), and a member of Editorial Board of Signal Processing (6/2005~5/2008), and an editor (7/2003~12/2005) as well as a Guest Editor (2006) of EURASIP Journal on Applied Signal Processing. He was a member of Signal Processing Theory and Methods Technical Committee (SPTM-TC) (2005-2010), IEEE Signal Processing Society, a member of Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) (2011-2016). Currently, he is a member of Sensor Array and Multichannel Technical Committee (SAM-TC), IEEE Signal Processing Society.
Please feel welcome to join
Free of Charge
The Connectivity section, Department of Electronic Systems
Aalborg University, Fredrik Bajers Vej 7, A4-108