Prof. LUO, Zhi Quan Tom 羅 智 泉 教授
Adjunct Professor
BS (Peking University)
PhD (Massachusetts Institute of Technology)
Research Interests :
* Optimization Methods
* Complexity and Computational Issues arising
from Signal Processing
* Digital Communication
Biography
Luo Zhi Quan (Tom) received his B.Sc. degree in Applied Mathematics in 1984 from Peking University, Beijing, China. Subsequently, he was selected by a joint committee of American Mathematical Society and the Society of Industrial and Applied Mathematics to pursue Ph.D. study in the United States. After an one-year intensive training in mathematics and English at the Nankai Institute of Mathematics, Tianjin, China, he studied in the Operations Research Center and the Department of Electrical Engineering and Computer Science at MIT, where he received a Ph.D. degree in Operations Research in 1989. From 1989 to 2003, Dr. Luo held a faculty position with the Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada, where he eventually became the department head and held a Canada Research Chair in Information Processing. Since April of 2003, he has been with the Department of Electrical and Computer Engineering at the University of Minnesota (Twin Cities) as a full professor and holds an endowed ADC Chair in digital technology. His research interests include optimization algorithms, signal processing and digital communication.
Dr. Luo is a fellow of SIAM and IEEE, and serves as the past chair of the IEEE Signal Processing Society Technical Committee on the Signal Processing for Communications (SPCOM). He is a recipient of the 2004, 2009 and 2011 IEEE Signal Processing Society’s Best Paper Awards, the 2010 Farkas Prize from the INFORMS Optimization Society, the 2010 EURASIP Best Paper Award and the 2011 ICC Best Paper Award. He has held editorial positions for several international journals including the Journal of Optimization Theory and Applications, SIAM Journal on Optimization, Mathematics of Computation, and IEEE Transactions on Signal Processing. He currently serves on the editorial boards of several journals including Management Science, IEEE Journal of Special Topics on Signal Processing and Mathematics of Operations Research. He is also the Editor-in-Chief for the journal IEEE Transactions on Signal Processing.
Selected Publications
Q. Shi, M. Hong, M. Razaviyayn and Z.-Q. Luo, “SINR Constrained Beamforming for a MIMO Multi-user Downlink System: Algorithms and Convergence Analysis”, Accepted for publication in IEEE Transactions on Signal Processing, 2016.
M. Hong, M. Razaviyayn, Z.-Q. Luo and J.S. Pang, “A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data With Applications in Machine Learning and Signal Processing,” IEEE Signal Processing Magazine, Vol. 33, pp. 57-77, 2016.
M. Hong, Z.-Q. Luo and M. Razaviyayn, “Convergence Analysis Of Alternating Direction Method Of Multipliers For A Family Of Nonconvex Problems”, Accepted for publication in SIAM Journal on Optimization, 2015.
R. Sun, M. Hong and Z.-Q. Luo, “Joint Downlink Base Station Association and Power Control for Max-min Fairness: Computation and Complexity”, IEEE Journal on Selected Areas in Communications, Vol. 33, pp. 1040-1054, 2015.
R. Sun and Z.-Q. Luo, “Interference Alignment Using Finite and Dependent Channel Extensions: the Single Beam Case,” IEEE Transactions on Information Theory, Vol. 61, pp. 239-255, 2015.
Z Xu, M Hong and ZQ Luo, “Semidefinite Approximation for Mixed Binary Quadratically Constrained Quadratic Programs,” Accepted for publication in SIAM Journal on Optimization, 2014.
M Razaviyayn, M Hong, and ZQ Luo, “Linear transceiver design for a MIMO interfering broadcast channel achieving max–min fairness,” Signal Processing, Vol. 93, pp. 3327-3340, 2014.
M Razaviyayn, H Baligh, A Callard and ZQ Luo, “Joint User Grouping and Transceiver Design in a MIMO Interfering Broadcast Channel,” IEEE Transactions on Signal Processing, Vol. 62, pp. 85–94, 2014.
M Sanjabi, M Razaviyayn and ZQ Luo, “Optimal Joint Base Station Assignment and Beamforming for Heterogeneous Networks,” IEEE Transactions on Signal Processing, Vol. 62, pp. 1950-1961, 2014.