Picture of Dr. Shuhui Li

Associate Professor

Center for Advanced Vehicle Technologies, Electrical and Computer Engineering

3029-B South Engineering Research Center
 (205) 348-9085
 (205) 348-6959
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  • Ph.D. Texas Tech University
  • M.S. Southwest Jiaotong University
  • B.S. Southwest Jiaotong University, (Chengdu, China)


Dr. Shuhui Li received his B.S. and M.S. degrees in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 1983 and 1988, respectively, and his Ph.D. degree in electrical engineering from Texas Tech University, Lubbock, TX, USA, in 1999. He was with the School of Electrical Engineering, Southwest Jiaotong University, from 1988 to 1995, where his fields of research interest included electrified railways, power electronics, power systems, and power system harmonics.

From 1995 to 1999, he was engaged in research on wind power, artificial neural networks, and applications of massively parallel processing. He joined Texas A&M University, Kingsville, TX, USA, as an Assistant Professor, in 1999, and an Associate Professor in 2003.

He joined the University of Alabama, Tuscaloosa, AL, USA, as an Associate Professor, in 2006. He is a Voting Member of the IEEE 2800, P2030, 2418.5, and P2030.12 working groups, involving the IEEE standardization work on Interconnection and Interoperability of Inverter-Based Resources, Smart Grid Interoperability, Blockchain in Energy, and Microgrid Protection Systems.

His current research interests include renewable energy systems, power electronics, power systems, electric machines and drives, and applications of artificial intelligence and machine learning in power and energy systems. Dr. Li is a senior member of IEEE and a senior member of the National Academy of Inventors.

Areas of Research

Latest Publications

  • Himadry Shekhar Das*, Shuhui Li, Bing Lu*, and Jing Wang, “Virtual Dynamic Grid Impedance and Its Impacts on Harmonics and Stability of Inverter Based Resources Plant,” in IEEE Transactions on Power Electronics, 2022, doi: 10.1109/TPEL.2022.3196680.
  • Y. Gao*, Shuhui Li, Y. Xiao, W. Dong*, M. Fairbank and B. Lu*, “An Iterative Optimization and Learning-based IoT System for Energy Management of Connected Buildings,” in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3176306.
  • Fu, Xingang; Li, Shuhui; Wunsch, Donald; and Alonso, Eduardo, “Local Stability and Convergence Analysis of Neural Network Controllers with Error Integral Inputs,” in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3116189.
  • Y. Sun*, Shuhui Li, X. Fu, W. Dong*, M. Ramezani* and B. Balasubramanian, “Approximate Dynamic Programming Vector Controllers for Operation of IPM Motors in Linear and Over-modulation Regions,” in IEEE Transactions on Transportation Electrification, vol. 7, no. 2, pp. 659-670, June 2021, doi: 10.1109/TTE.2020.3034044.
  • Bing Lu*, Shuhui Li, Himadry Shekhar Das*, Yixiang Gao*, Jing Wang, and Murali Baggu, “Dynamic P-Q Capability and Abnormal Operation Analysis of a Wind Turbine with Doubly-Fed Induction Generator,” in IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 4, pp. 4854-4864, Aug. 2022, doi: 10.1109/JESTPE.2021.3133527.