Picture of Dr. Qianzhi Zhang

Assistant Professor

Electrical and Computer Engineering

3002 South Engineering Research Center
 (205) 348-4272
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  • Postdoc, System Engineering, Cornell University, 2023
  • Ph.D., Electrical and Computer Engineering, Iowa State University, 2022
  • M.S., Electrical and Computer Engineering, Arizona State University, 2014
  • B.S., Electrical Engineering, Shandong University of Technology, 2012


Dr. Qianzhi Zhang joined The University of Alabama’s Department of Electrical and Computer Engineering as a tenure-track assistant professor in August 2023. From 2022 to 2023, he was an Ezra Systems postdoctoral associate with Cornell University. He was a recipient of the Outstanding Reviewer Award from IEEE Transactions on Smart Grid and IEEE Transactions on Power Systems.

His research focuses on a range of areas, including power/energy management, voltage/var control, system resilience enhancement, transportation electrification at scale, and the applications of advanced optimization and machine learning techniques in power system operation and control. His main areas of interest are:

  • Modeling, simulation, and control of power systems and microgrids with renewable energy generations and inverter-based resources
  • Resilience enhancement of inverter-dominated power systems
  • Power system planning and operation with end-use electrification at scale, including building and transportation electrifications.

Honors and Awards

  • Ezra SYSEN Post-Doc Fellowship, Cornell University, 2022-2023
  • Outstanding Reviewer, IEEE Transactions on Power Systems, 2022
  • Outstanding Reviewer (Top 5), IEEE Transactions on Smart Grid, 2021
  • Outstanding Reviewer, IEEE Open Access Journal of Power and Energy, 2021
  • Outstanding Reviewer, IEEE Transactions on Power Systems, 2019

Areas of Research

Latest Publications

  • Q. Zhang, F. Bu, Y. Guo, and Z. Wang, “Tractable Data Enriched Distributionally Robust Chance-Constrained Conservation Voltage Reduction,” in IEEE Transactions on Power Systems, accepted, 2023, doi: 10.1109/TPWRS.2023.3244895.
  • Q. Zhang, Z. Ma, Y. Zhu, and Z. Wang, “A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints,” in IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 3835-3846, Sept. 2021, doi: 10.1109/TSG.2021.3088006.
  • Q. Zhang, Y. Guo, Z. Wang, and F. Bu, “Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems,” in IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 3889-3900, Sept. 2021, doi: 10.1109/TSG.2021.3088010.
  • Q. Zhang, K. Dehghanpour, Z. Wang, F. Qiu, and D. Zhao, “Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids,” in IEEE Transactions on Smart Grid, vol. 12, no. 2, pp. 1048-1062, March 2021, doi: 10.1109/TSG.2020.3034827.
  • Q. Zhang, K. Dehghanpour, Z. Wang, and Q. Huang, “A Learning-Based Power Management Method for Networked Microgrids Under Incomplete Information,” in IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1193-1204, March 2020, doi: 10.1109/TSG.2019.2933502.