Qinghua Ma, Seyyedali Hosseinalipour, Ming Shi, Jan Drgona and Shimiao Li. "Voltage-Regulated Sparse Optimization for Proactive Diagnosis of Voltage Collapses". arXiv preprint arXiv:2511.06528 (2025).
Swadesh Vhakta, Denis Osipov, Reetam Sen Biswas, Amritanshu Pandey, Seyyedali Hosseinalipour and Shimiao Li. "Frequency-Aware Sparse Optimization for Diagnosing Grid Instabilities and Collapses." arXiv preprintarXiv:2511.07553 (2025).
Qinghua Ma, Reetam Sen Biswas, Denis Osipov, Guannan Qu, Soummya Kar and Shimiao Li. “Multi-Period Sparse Optimization for Proactive Grid Blackout Diagnosis.” (2025). arXiv preprintarXiv:2510.14045 (2025)
Tina Gao, Shimiao Li and Larry Pileggi. ”Sparsity-exploiting Gaussian Process for Robust Transient Learning of Power System Dynamics.” arXiv preprint arXiv: 2510.15150(2025).
Shimiao Li, Guannan Qu, Bryan Hooi, Vyas Sekar, Soummya Kar and Larry Pileggi. “Cyber-Resilient System Identification for Power Grid through Bayesian Integration.” (2025). arXiv preprintarXiv:2510.14043 (2025).
Shimiao Li, Aaron Tuor, Draguna Vrabie, Larry Pileggi and Jan Drgona. "Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow." arXiv preprint here(2025).
Seyyedali Hosseinalipour, Shimiao Li, Adedoyin Inaolaji, Filippo Malandra, Luis Herrera, and Nicholas Mastronarde. "Synergies between Federated Foundation Models and Smart Power Grids." arXiv preprint arXiv:2509.16496 (2025).
Transactions and Book Chapters 2024
Shimiao Li, Amritanshu Pandey, and Larry Pileggi. "Contingency analysis with warm starter using probabilistic graphical model." Electric Power Systems Research 234 (2024): 110737.see paper here
Amritanshu Pandey, Shimiao Li, and Larry Pileggi. "Combined transmission and distribution state-estimation for future electric grids." Power Systems Operation with 100% Renewable Energy Sources. Elsevier, 2024. 299-315. See paper here
Shimiao Li. (2024) Exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid.(Doctoral dissertation, Carnegie Mellon University). See paper here
2023
Shimiao Li, Amritanshu Pandey, and Lawrence Pileggi. "A convex method of generalized state estimation using circuit-theoretic node-breaker model." IEEE Transactions on Power Systems (2023).See paper here
2021
Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos, and Larry Pileggi. "Dynamic graph-based anomaly detection in the electrical grid." IEEE Transactions on Power Systems 37, no. 5 (2021): 3408-3422.
Conference Proceedings 2023
Shimiao Li, Jan Drgona, Shrirang Abhyankar, and Larry Pileggi. 2023. Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning. In Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy '23 Companion). Association for Computing Machinery, New York, NY, USA, 106–114. https://doi.org/10.1145/3599733.3600257
Singer, Brian, Amritanshu Pandey, Shimiao Li, Lujo Bauer, Craig Miller, Lawrence Pileggi, and Vyas Sekar. "Shedding Light on Inconsistencies in Grid Cybersecurity: Disconnects and Recommendations." In 2023 IEEE Symposium on Security and Privacy (SP), pp. 554-571. IEEE Computer Society, 2022. See paper here
2021
Shimiao Li, Amritanshu Pandey, and Larry Pileggi. "A wlav-based robust hybrid state estimation using circuit-theoretic approach." In 2020 IEEE Power & Energy Society General Meeting (PESGM), IEEE, 2021 (Best Paper Award)
2020
Shimiao Li, Amritanshu Pandey, Soummya Kar, and Larry Pileggi. "A circuit-theoretic approach to state estimation." In 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), pp. 1126-1130. IEEE, 2020.
Shimiao Li, Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov, and Larry Pileggi. "A LASSO-Inspired Approach for Localizing Power System Infeasibility." In 2020 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5. IEEE, 2020.