Junjian Qi

Education

- Ph.D. Electrical Engineering, Tsinghua University, Beijing, China, 2013
- B.E. Electrical Engineering, Shandong University, Jinan, China, 2008

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

Committee Activities

- SDSU EECS EE Curriculum Committee, 2023-present
- Secretary, IEEE Task Force on “Voltage Control for Smart Grids”, 2016-2019
- Technical program committee member, IEEE ISGT NA, 2020, 2021
- Technical program committee member, IEEE International Conference on Smart Grid Com-
munications (SmartGridComm), 2017

Awards and Honors

- Best Paper Award in IEEE Power & Energy Society (PES) General Meeting, 2023
- World’s Top 2% Scientists in energy sub-field by Stanford University, 2020-2022
- 2021 Best Paper Award from IEEE Transactions on Power Systems, 2022
- IEEE PES Technical Committee Working Group Recognition Award for Outstanding Technical Report, 2022
- Stevens ECE Outstanding Teaching Award, 2022
- Stevens Doctoral Incentive Award, 2022
- Best Paper Award in IEEE PES ISGT Asia, 2021
- NSF CAREER Award, 2020
- Argonne Outstanding Postdoctoral Performance Award, 2016

Grants

- National Science Foundation: Collaborative Research: Advanced and Highly Integrated Power Conversion Systems for Grid Stability and Resiliency, Award Number: 2103426; Principal Investigator: Junjian Qi; Organization: Stevens Institute of Technology; NSF Organization: ECCS; 2021-2024; Award Amount: $219,370

- National Science Foundation: CAREER: Deciphering Large-Scale Real Outage Data for Cascading Failure Analysis, Prevention, and Intervention, Award Number: 2110211; Principal Investigator: Junjian Qi; Organization: Stevens Institute of Technology; NSF Organization: ECCS; 2020-2025; Award Amount: $500,110

- Cyber Florida Collaborative Seed Award 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

- 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

Professional Memberships

Senior Member, IEEE

Work Experience

- Hohbach Endowed Assistant Professor, South Dakota State University, Brookings, SD, 2023-present
- Assistant Professor, Stevens Institute of Technology, Hoboken, NJ, 2020-2023
- Assistant Professor, University of Central Florida, Orlando, FL, 2017-2020
- Joint Appointed Argonne Staff, University of Chicago, Chicago, IL, 2016-2017
- Postdoctoral Appointee, Argonne National Laboratory, Lemont, IL, 2015-2017
- Research Associate, University of Tennessee, Knoxville, TN, 2013-2015

Creative Activities

BOOKS

- J. Qi, Smart Grid Resilience—Extreme Weather, Cyber-Physical Security, and System Interdependency, Springer, 2023.

- K. Sun, Y. Hou, W. Sun, and J. Qi, Power System Control under Cascading Failures: Understanding, Mitigation, and Restoration, Wiley-IEEE Press, 2019.

JOURNAL PUBLICATIONS (selected)

- S. M. Mohiuddin and J. Qi, “Optimal distributed control of AC microgrids with coordinated voltage regulation and reactive power sharing,” IEEE Trans. Smart Grid, vol. 13, no. 3, pp. 1789–1800, May 2022.

- S. R. Khazeiynasab and J. Qi, “Generator parameter calibration by adaptive approximate Bayesian computation with sequential Monte Carlo sampler,” IEEE Trans. Smart Grid, vol. 12, no. 5, pp. 4327–4338, Sept. 2021.

- J. Qi, “Utility outage data driven interaction networks for cascading failure analysis and mitigation,” IEEE Trans. Power Syst., vol. 36, no. 2, pp. 1409–1418, Mar. 2021.

- S. M. Mohiuddin and J. Qi, “Droop-free distributed control for AC microgrids with precisely regulated voltage variance and admissible voltage profile guarantees,” IEEE Trans. Smart Grid, vol. 11. no. 3, pp. 1956–1967, May 2020.

- J. Qi, J. Wang, and K. Sun, “Efficient estimation of component interactions for cascading failure analysis by EM algorithm,” IEEE Trans. Power Syst., vol. 33, no. 3, 3153–3161, May 2018.

CONFERENCE PUBLICATIONS (selected)

- S. Huang and J. Qi, “Analysis and mitigation of cascading failure spatial propagation in real utility outage data,” IEEE Power & Energy Society General Meeting, Orlando, FL, USA, Jul. 2023. (Best Paper Award)

- 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, Oct. 2022.

- 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), Jun. 2022.

- 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, Dec. 2021. (Best Paper Award)

- 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, Oct. 2021.

Area(s) of Research

Electric Power Systems