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Title

Hohbach Endowed Assistant Professor

Office Building

Daktronics Engineering Hall

Office

211

Mailing Address

Daktronics Eng Hall 211
Electrical Engineering/Computer Science-Box 2222
University Station
Brookings, SD 57007

Social Media Links

Education

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

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
• ������Ƶ 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 Grids”, 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

Awards and Honors

• ������Ƶ Jerome J. Lohr College of Engineering “Grantswinship” Award, 2024
• 2022 Best Paper Award from Journal of Modern Power Systems and Clean Energy, 2024
• Best Paper Award in IEEE Power and Energy Society (PES) General Meeting, 2014, 2023, 2024
• IEEE PES Outstanding Working Group for Outstanding Technical Report Award, 2023
• World’s top 2% scientists in energy sub-field, 2020-2022
• IEEE PES Technical Committee Working Group Recognition Award for Outstanding Technical Report, 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

1. 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
2. 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
3. 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
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

Work Experience

• Hohbach Endowed Assistant Professor, South Dakota 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.

Areas of Research

• Electric power systems

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, Mar. 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, Mar. 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, Feb. 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, Mar. 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, Oct. 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, Sept. 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, Mar. 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, WA, USA, 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, WA, USA, July 2024. (Best Paper Award)
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, FL, USA, July 2023. (Best Paper Award)
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, Oct. 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, Dec. 2021. (Best Paper Award)
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, Oct. 2021.