Second-Order Optimization via Quiescence Trajectory Tracing

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A. Agarwal, R. Rohrer, and L. Pileggi, “Second-Order Optimization via Quiescence Trajectory Tracing,” IEEE Transactions on Circuits and Systems I: Regular Papers, doi: 10.1109/TCSI.2026.3689681.

Adaptive Federated Learning via Dynamical System Model

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A. Agarwal, G. Joshi, and L. Pileggi, “Adaptive Federated Learning via Dynamical System Model,” Transactions on Machine Learning Research, 2026 [accepted].

Large Scale Bilevel Optimization for N-k SCOPF Using Adversarial Robustness

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A. Agarwal, P. Donti, J. Z. Kolter, and L. Pileggi, “Large Scale Bilevel Optimization for N-k SCOPF Using Adversarial Robustness,” IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2025.3579521.

Continuous Switch Model and Heuristics for Mixed-Integer Nonlinear Problems in Power Systems

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Agarwal, A. Pandey, and L. Pileggi, “Continuous Switch Model and Heuristics for Mixed-Integer Nonlinear Problems in Power Systems,” IEEE Transaction on Power Systems, doi: 10.1109/TPWRS.2023.3340113.

A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model

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S. (Cindy) Li, A. Pandey, and L. Pileggi, ” A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model,” in IEEE Transactions on Power Systems, November 2023, pp. 1-14, doi: 10.1109/TPWRS.2023.3333757.

Generalized Smooth Functions for Modeling Steady-State Response of Controls in Transmission and Distribution

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Agarwal, N. Turner-Bandele, A. Pandey, and L. Pileggi, “Generalized Smooth Functions for Modeling Steady-State Response of Controls in Transmission and Distribution,” Electric Power Systems Research, 2022, CorpusID:252317429.

Dynamic Graph-Based Anomaly Detection in the Electrical Grid

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S. (Cindy) Li, A. Pandey, B. Hooi, C. Faloutsos and L. Pileggi, “Dynamic Graph-Based Anomaly Detection in the Electrical Grid,” in IEEE Transactions on Power Systems, vol. 37, no. 5, pp. 3408-3422, Sept. 2022, doi: 10.1109/TPWRS.2021.3132852.

Large Scale Multi-Period Optimal Power Flow with Energy Storage Systems Using Differential Dynamic Programming

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Agarwal, L. Pileggi, “Large Scale Multi-Period Optimal Power Flow with Energy Storage Systems Using Differential Dynamic Programming,” IEEE PES Transactions on Power Systems, 2021.

Split-Chip Design to prevent IP Reverse Engineering

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S. Pagliarini, J. Sweeney, K. Mai, S. Blanton, S. Mitra and L. Pileggi, “Split-Chip Design to prevent IP Reverse Engineering,” in IEEE Design & Test, doi: 10.1109/MDAT.2020.3033255.

Enhanced Modelling Framework for Equivalent Circuit-Based Power System State Estimation

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Jovicic, M. Jereminov, L. Pileggi, Gabriela Hug, Enhanced Modelling Framework for Equivalent Circuit-Based Power System State Estimation, IEEE Transactions on Power Systems, February 2020 (10.1109/TPWRS.2020.2974459).