Junjian Qi

Junjian Qi

Hohbach Endowed Assistant Professor

Education

  • Ph.D. in electrical engineering | Tsinghua University, Beijing, China | 2013
  • B.E. in electrical engineering | Shandong University, Jinan, China | 2008

Academic and Professional Experience

Academic Interests
Academic Interests

Electric power systems: 

  • Cascading failure
  • Microgrid control
  • Cyber-physical system security
  • Synchrophasor
Academic Responsibilities
  • EE 733 Advanced Power System Analysis
  • EE 492/592 Advanced Power Systems
Committees and Professional Memberships

Committees:

  • IEEE Eta Kappa Nu (HKN) Honor Society Faculty Advisor, 2024-present.
  • Associate Editor, IEEE Transactions on Power Systems, 2024-present.
  • Associate Editor, IEEE Power Engineering Letters, 2024-present.
  • SDSU EECS EE Undergraduate Curriculum Committee, 2023-present.
  • Associate Editor, IEEE Access, 2018-2024.
  • Technical program committee member, IEEE ISGT NA, 2020, 2021.
  • Secretary, IEEE Task Force on “Voltage Control for Smart Gridsâ€, 2016-2019.
  • Technical program committee member, IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017.

Professional Memberships:

  • Senior member, IEEE
  • Senior member, IEEE Power and Energy Society
Work Experience
  • Hohbach Endowed Assistant Professor, South à£à£Ö±²¥Ðã State University, Brookings, 2023-present.
  • Assistant professor, Stevens Institute of Technology, Hoboken, New Jersey, 2020-2023.
  • Assistant professor, University of Central Florida, Orlando, 2017-2020.
  • Joint appointed argonne staff, University of Chicago, Chicago, 2016-2017.
  • Postdoctoral appointee, Argonne National Laboratory, Lemont, 2015-2017.
  • Research associate, University of Tennessee, Knoxville, Tennessee, 2013-2015.

Research and Scholarly Work

Areas of Research
  • Electric power systems
à£à£Ö±²¥Ðãs and Honors
  • SDSU Jerome J. Lohr College of Engineering “Grantswinship†à£à£Ö±²¥Ðã, 2024.
  • 2022 Best Paper à£à£Ö±²¥Ðã from Journal of Modern Power Systems and Clean Energy, 2024.
  • Best Paper à£à£Ö±²¥Ðã in IEEE Power and Energy Society (PES) General Meeting, 2014, 2023, 2024.
  • IEEE PES Outstanding Working Group for Outstanding Technical Report à£à£Ö±²¥Ðã, 2023.
  • World’s top 2% scientists in energy sub-field by Elsevier and Stanford University, 2020-2023.
  • IEEE PES Technical Committee Working Group Recognition à£à£Ö±²¥Ðã for Outstanding Technical Report, 2022.
  • 2021 Best Paper à£à£Ö±²¥Ðã from IEEE Transactions on Power Systems, 2022.
  • IEEE PES Technical Committee Working Group Recognition à£à£Ö±²¥Ðã for Outstanding Technical Report, 2022.
  • Stevens ECE Outstanding Teaching à£à£Ö±²¥Ðã, 2022.
  • Stevens Doctoral Incentive à£à£Ö±²¥Ðã, 2022.
  • Best Paper à£à£Ö±²¥Ðã in IEEE PES ISGT Asia, 2021.
  • NSF CAREER à£à£Ö±²¥Ðã, 2020.
  • Argonne Outstanding Postdoctoral Performance à£à£Ö±²¥Ðã, 2016.
Grants
  1. National Science Foundation: Collaborative Research: Advanced and Highly Integrated Power Conversion Systems for Grid Stability and Resiliency, à£à£Ö±²¥Ðã No.: 2103426; principal investigator: Junjian Qi; organization: Stevens Institute of Technology; NSF organization: ECCS; 2021-2024; award amount: $219,370.
  2. National Science Foundation: CAREER: Deciphering Large-Scale Real Outage Data for Cascading Failure Analysis, Prevention and Intervention, à£à£Ö±²¥Ðã No.: 2110211; principal investigator: Junjian Qi; organization: Stevens Institute of Technology; NSF organization: ECCS; 2020-2025; award amount: $500,110.
  3. Cyber Florida Collaborative Seed à£à£Ö±²¥Ðã Program: Enhancing Cyber-Physical System Security for Large-Scale Integration of Distributed Energy Resources by Big Data and Deep Learning; principal investigator: Junjian Qi; organization: University of Central Florida; 2019-2020; award amount: $75,000.
  4. Department of Energy: Cybersecurity for Renewables, Distributed Energy Resources and Smart Inverters; principal investigator: Junjian Qi; organization: Argonne National Laboratory; 2016-2019; award amount: $1.8 million.
Publications

Books:

  1. J. Qi, Smart Grid Resilience—Extreme Weather, Cyber-Physical Security, and System Interdependency, Springer, 2023.
  2. K. Sun, Y. Hou, W. Sun and J. Qi, Power System Control under Cascading Failures: Understanding, Mitigation and Restoration, Wiley-IEEE Press, 2019.

Book Chapters:

  1. S. M. Mohiuddin and J. Qi, “Chapter 14: Optimal distributed control of AC microgrids†in Microgrids: Theory and Practice (IEEE Press Series on Power and Energy Systems), pp. 287-306, Wiley-IEEE Press, March 2024.
  2. S. M. Mohiuddin and J. Qi, “Chapter 13: Droop-free distributed control for AC microgrids†in Microgrids: Theory and Practice (IEEE Press Series on Power and Energy Systems), pp. 265-286, Wiley-IEEE Press, March 2024.
  3. S. Huang, J. Qi and K. Sun, “Chapter 3: Interaction models for analysis and mitigation of cascading failures†in Cascading Failures in Power Grids—Risk Assessment, Modeling and Simulation, pp. 49-106, Springer, February 2024.
  4. H. Zhang, W. Meng, J. Qi, X. Wang and W. X. Zheng, “Chapter 5: False data injection attacks on inverter-based microgrid in autonomous mode†in Distributed Control Methods and Cyber Security Issues in Microgrids, pp. 125-146, Academic Press, March 2020.

Journal Publications (selected):

  1. H. Zhang, T. Ding, J. Qi, W. Wei, J. P. S. Catalão and M. Shahidehpour, “Model and data driven machine learning approach for analyzing the vulnerability to cascading outages with random initial states in power systems,†IEEE Transactions on Automation Science and Engineering, vol. 20, no. 4, pp. 2581-2593, October 2023.
  2. Z. Ding, K. Yuan, J. Qi, Y. Wang, J. Hu and K. Zhang, “Robust and cost-efficient coordinated primary frequency control of wind power and demand response based on their complementary regulation characteristics,†IEEE Transactions on Smart Grid, vol. 13, no. 6, pp. 4436-4448, Nov. 2022.
  3. S. M. Mohiuddin and J. Qi, “Optimal distributed control of AC microgrids with coordinated voltage regulation and reactive power sharing,†IEEE Transactions on Smart Grid, vol. 13, no. 3, pp. 1789-1800, May 2022.
  4. S. R. Khazeiynasab and J. Qi, “Generator parameter calibration by adaptive approximate Bayesian computation with sequential Monte Carlo sampler,†IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 4327-4338, September 2021.
  5. J. Qi, “Utility outage data driven interaction networks for cascading failure analysis and mitigation,†IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1409-1418, March 2021.
  6. S. M. Mohiuddin and J. Qi, “Droop-free distributed control for AC microgrids with precisely regulated voltage variance and admissible voltage profile guarantees,†IEEE Transactions on Smart Grid, vol. 11. no. 3, pp. 1956-1967, May 2020.
  7. J. Qi, J. Wang and K. Sun, “Efficient estimation of component interactions for cascading failure analysis by EM algorithm,†IEEE Transactions on Power Systems, vol. 33, no. 3, 3153-3161, May 2018.

Conference Publications (selected):

  1. J. Zhang and J. Qi, “Fast steady-state analysis for droop-controlled AC microgrid,†IEEE Power and Energy Society General Meeting, Seattle, Washington, July 2024.
  2. S. Huang and J. Qi, “Cascading failure model for power systems with high penetration of wind power,†IEEE Power and Energy Society General Meeting, Seattle, Washington, July 2024. (Best Paper à£à£Ö±²¥Ðã)
  3. S. Huang and J. Qi, “Analysis and mitigation of cascading failure spatial propagation in real utility outage data,†IEEE Power and Energy Society General Meeting, Orlando, Florida, July 2023. (Best Paper à£à£Ö±²¥Ðã)
  4. S. Huang and J. Qi, “Learning cascading failure interactions by deep convolutional generative adversarial network,†IEEE International Conference on Communications, Control and Computing Technologies for Smart Grids, October 2022.
  5. L. Wang and J. Qi, “Optimal decomposition of utility outage sequence for cascading failure interaction estimation,†IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), June 2022.
  6. S. M. Mohiuddin and J. Qi, “Unified distributed control of grid-forming and grid-feeding converters in DC microgrids with average voltage regulation and current sharing,†2021 IEEE PES ISGT Asia, December 2021. (Best Paper à£à£Ö±²¥Ðã)
  7. S. M. Mohiuddin, J. Qi, Sasha Fung, Yu Huang and Yufei Tang, “Deep learning based multi-label attack detection for distributed control of AC microgrids,†IEEE International Conference on Communications, Control and Computing Technologies for Smart Grids, October 2021.
Mailing Address:
Daktronics Eng Hall 211
Electrical Engineering/Computer Science-Box 2222
University Station
Brookings, SD 57007
Office Location:
Daktronics Engineering Hall
Room 211
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McComish Department of Electrical Engineering and Computer Science