Jie Zhang

Jie Zhang

[email protected]
Phone: 972-883-4541
Mail Box: ECW 31
Office: ECSW 3.150F
800 West Campbell Rd.
Richardson, TX 75080-3021

Personal Website
Google Scholar Page

Associate Professor of Mechanical Engineering


PhD, Mechanical Engineering, Rensselaer Polytechnic Institute, 2012

MS, Mechanical Engineering, Huazhong University of Science & Technology, 2008

BS, Mechanical Engineering, Huazhong University of Science & Technology, 2006

Research Interests

Multidisciplinary design optimization, complex engineered systems, power & energy systems, renewable energy, grid modernization, big data analytics, probabilistic design

Five Most Recent Journal Publications, Book Chapters, and Books

  • He, L., Liu, Y. and Zhang, J., Peer-to-Peer Energy Sharing with Battery Storage: Energy Pawn in The Smart Grid, Applied Energy, 2021, Vol. 297, pp. 117129.
  • Li, B., Ofori-Boateng, D., Gel, Y. R. and Zhang, J., A Hybrid Approach for Transmission Grid Resilience Assessment Using Reliability Metrics and Power System Local Network Topology, Sustainable and Resilient Infrastructure, Vol. 6, Issue 1-2, 2021, pp. 26-41.
  • He, L. and Zhang, J., A Community Sharing Market with PV and Energy Storage: An Adaptive Bidding-based Double-side Auction Mechanism, IEEE Transactions on Smart Grid, Vol. 12, Issue 3, 2021, pp. 2450-2461.
  • Liu, Y. and Zhang, J., Electric Vehicle Battery Thermal and Cabin Climate Management Based on Model Predictive Control, Journal of Mechanical Design, Vol. 143, Issue 3, 2021, pp. 031705.
  • Feng, C., Sun, M. and Zhang, J., Reinforced Deterministic and Probabilistic Load Forecasting via Q-Learning Dynamic Model Selection, IEEE Transactions on Smart Grid, Vol. 11, Issue 2, 2020, pp. 1377-1386.

Major Honors and Awards

  • Top 10 Best Paper Award, ASME Design Automation Conference, 2021 and 2020
  • Young Investigator Award, Office of Naval Research, 2020
  • Young Investigator Award, ASME Design Automation Committee, 2020
  • Best Paper Award, IEEE Green Technologies Conference (GreenTech), 2018
  • SAS-IIF Research Award, International Institute of Forecasters, 2017
  • Best Paper Award, IEEE Power & Energy Society General Meeting, 2017 and 2015