Rate My Professor Shuangqing Wei

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.