Rate My Professor Shuangqing Wei

Shuangqing Wei is the Division Chairman and holds the Michel B. Voorhies Distinguished Professorship in the Division of Electrical and Computer Engineering at Louisiana State University and Agricultural and Mechanical College. He received his B.E. and M.S. degrees in electronics engineering from Tsinghua University in Beijing, China, in 1995 and 1998, respectively, followed by his Ph.D. in electrical engineering from the University of Massachusetts Amherst in 2003. Beginning his academic career at LSU as an assistant professor in 2003, he advanced to associate professor with tenure in 2009, became a full professor, and was appointed to his current distinguished professorship in 2013. In December 2024, he assumed the role of Division Chairman. Wei has made significant contributions through his guidance of numerous graduate students, including multiple Ph.D. dissertations and master's theses.

Wei’s research focuses on communication theory and information theory, particularly their applications in modern communication systems and networks. His specific interests encompass interactive communications, Bayesian networks, distributed coordination and learning, secure and robust communications, and complex networks. He leads the Information Sensing, Learning and Security Laboratory at LSU. Among his key publications are “Finite Blocklength Analysis of Gaussian Random Coding in AWGN Channels under Covert Constraints” with X. Yu and Y. Luo (IEEE Transactions on Information Forensics & Security, accepted 2020), “On the Secret Key Capacity of Sibling Hidden Markov Models” with M. R. Khalili Shoja et al. (IEEE Transactions on Information Forensics & Security, 2019), “Traffic-aware joint allocation of uplink control and communication channels in multicast systems” with Ahsan-Abbas Ali (IEEE Transactions on Vehicular Technology, 2017), and “Asymptotic error free partitioning over noisy Boolean channels” with S. Wu et al. (IEEE Transactions on Information Theory, 2015). Wei has secured research funding from the U.S. Defense Department, including a 2022 award from the Army Research Laboratory. He is an IEEE Senior Member since 2016 and has taught graduate and undergraduate courses in digital communications, information theory, detection and estimation theory, and signals and systems.