Shimiao Li, Aaron Tuor, Draguna Vrabie, Larry Pileggi, Ján Drgoňa, “Sparsity-exploiting Gaussian Process for Robust Transient Learning of Power System Dynamics,” PES General Meeting, July 2026 (PESGM).
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.
A. Agarwal, G. Joshi, and L. Pileggi, “Adaptive Federated Learning via Dynamical System Model,” Transactions on Machine Learning Research, 2026 [accepted].
T. Gao, S. Li and L. Pileggi, Sparsity-exploiting Gaussian Process for Robust Transient Learning of Power System Dynamics, IEEE PES General Meeting, July 19-23, 2026.
B.J. Gonzalez, Y. Chen, J. Kunselman, J.K. Wirant, Elio Bourcart, Matthew T. Moneck, Tathagata Srimani, L. Pileggi, The Hacker Fab: An Open-Source Initiative for Nanofabrication Education, International Symposium on Circuits and Systems (ISCAS), May 2026.
D. Garg and L. Pileggi, Universal Topological Arrays: An Efficient Solution for Provably Secure Hardware, IEEE Computer Society Annual Symposium on VLSI (ISVLSI), July 6-9, 2025.
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.
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.
A. Agarwal, G. Joshi, and L. Pileggi, “FedECADO: A Dynamical System Model of Federated Learning,” The International Conference on Machine Learning (ICML), July 2025.
D. Garg and L. Pileggi, Universal Topological Arrays: An Efficient Solution for Provably Secure Hardware, IEEE Computer Society Annual Symposium on VLSI (ISVLSI), July 6-9, 2025.
Carnegie Mellon University
Hamerschlag Hall, 2113
5000 Forbes Avenue
Pittsburgh, PA 15213-3891 USA
pileggi@andrew.cmu.edu
Phone: 412-268-6774