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Prof. Tsung-Hui Chang receives 2018 IEEE Signal Processing Society Best Paper Award

  • 2018.12.20
  • News
Professor Tsung-Hui Chang, author of the paper “Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization”, has been selected for the 2018 IEEE Signal Processing Society Best Paper Award.

 

       

IEEE Signal Processing Society
Best Paper Award

 

The Best Paper Award of the IEEE Signal Processing Society is one of the most influential international academic awards in the field of signal processing. Self-nominations are not accepted or considered. Instead, there shall be an open call for nominations reaching all Society members. Nominations will also be solicited from specific boards/committees of the Society, which are the technical committees, editorial boards and the major boards of the Society. Judging shall be based on general quality, originality, subject matter, and timeliness. Up to six Best Paper Awards may be presented annually. Presentation shall be made at the Society’s Awards Ceremonies, normally held during ICASSP in the Spring or at ICIP in the Fall following selection of the winner.

 

Award-Winning Paper

 

Prof. Chang's award-winning paper "Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization" was published in IEEE Transactions on Signal Processing (IEEE TSP). The co-authors include Professor Anthony Man-Cho So and Professor Wing-Kin Ma of The Chinese University of Hong Kong, and Kun-Yu Wang and Professor Chong-Yung Chi of the National Tsing Hua University in Hsinchu, Taiwan.

 

Aiming at the multi-user robust beamforming design problem in wireless communications, this paper proposed a series of efficient approximation algorithms based on convex optimization methods, and strictly analyzed the computational complexity and approximation performance. The algorithm framework can achieve better performance with lower complexity than the state-of-the-art methods, and can be readily extended to the robust design problems in various wireless communication scenarios. According to Google Scholar, the paper is currently cited more than 160 times. Besides, the paper was also accepted by ISI Web of Knowledge as one of the ESI Highly Cited Papers.

 

 

Profile of Prof. Tsung-Hui Chang

 

Prof. CHANG, Tsung Hui

Associate Professor, SSE

 

 

Tsung-Hui Chang received the B.S. degree in electrical engineering and the Ph.D. degree in communications engineering from the National Tsing Hua University (NTHU), Hsinchu, Taiwan, in 2003 and 2008, respectively. From 2012 to 2015, he was an Assistant Professor with the Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan. In August 2015, Dr. Chang joined the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China, as an Assistant Professor, and since August 2018, as an Associate Professor. Prior to being a faculty member, Dr. Chang held research positions with NTHU, from 2008 to 2011, and the University of California, Davis, CA, USA, from 2011 to 2012. During his PhD study, Dr. Chang was a visiting student and research assistant in the University of Minnesota, Minneapolis, MN, USA.

       

Dr. Chang’s research interests include signal processing and optimization problems in data communications, machine learning and big data analysis. He received the Young Scholar Research Award of NTUST in 2014 and IEEE ComSoc Asian-Pacific Outstanding Young Researcher Award in 2015. He currently serves as an Associate Editor of IEEE TRANSACTIONS ON SIGNAL PROCESSING and IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS.