Biography
I am an Assistant Professor in the Department of Electrical and Computer Engineering at Stony Brook University. I received my Bachelor’s degree in 2014 and my Ph.D. degree in 2019, both from the Department of Electrical Engineering at Tsinghua University. My research focuses on collaboratively integrating machine learning, quantum computing, and formal methods to enable intelligent, adaptive, and provably resilient power system operations and supporting extreme renewable energy integration.
I am looking for self-motivated Ph.D. students with a solid background in power system static/dynamic analysis and a strong interest in machine learning or quantum computing. Please send me an email with your CV if you are interested.
- AI-Driven Smart Grid
- Quantum Computing
- Formal Analysis
- Networked Microgrids
Ph.D. in Electrical Engineering, 2019
Tsinghua University
B.E. in Electrical Engineering, 2014
Tsinghua University
News
- 2024/07, Sijia received the IEEE Computer Society Student Travel Grants to support her oral presentation at QCE24.
- 2024/06, Our paper on Distributed quantum ML-based stability assessment is accepted by 2024 IEEE International Conference on Quantum Computing and Engineering (QCE24).
- 2024/03, Three papers are accepted by 2024 IEEE PESGM on Learning-enabled runtime reachable dynamics, Stochastic reachable dynamics, and Adversarial-resilient quantum ML.
- 2024/01, Our paper on Neural dynamic state estimation is accepted by IEEE Transactions on Industry Applications.
- 2023/10, Our paper on Neural dynamic equivalencing is selected as the Top 5 in the 2023 CIGRE Next Generation Network (NGN) Paper Competition.
- PAST NEWS
Research Interests
Publications
Teaching
- ESE 352 - Electromechanical Energy Converters (Undergraduate): Fall 2024, Fall 2023, Fall 2022.
- EEO 425 - Electric Machinery and Energy Conversion (Online): Fall 2024, Fall 2023, Fall 2022.
- ESE 562 - AI-Driven Smart Grids (Graduate): Fall 2024.
- ESE 586 - Microgrids (Graduate): Fall 2023, Fall 2022.
Mentoring
- Yao Xiao (PhD student, Fall 2024 - )
- Xuguo Fu (PhD student, Fall 2023 - )
- Sijia Yu (PhD student, Spring 2023 - )
- Qing Shen (Co-advised PhD student, Fall 2022 - )
- Trisha Sabadra (High school student, Summer 2024)
- Asha Boyapati (High school student, Summer 2024)
Awards
- 2023, Young Academic Inventor’s Award from the National Academy of Inventors (NAI) Stony Brook University Chapter, recognized for her ”fundamental work in quantum computing techniques for large-scale power system problems”
- 2021, Outstanding Reviewer for IEEE Transactions on Power Systems
- 2014, Outstanding Graduate of Tsinghua University (1.5%)
- 2014, Outstanding Graduate of Beijing
- 2014, Outstanding Thesis Award, Tsinghua University