Contingency Analysis with Warm Starter using Probabilistic Graphical Model

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Shimiao Li, Amritanshu Pandey, and Larry Pileggi. “Contingency Analysis with Warm Starter using Probabilistic Graphical Model.” Power Systems Computation Conference (PSCC), June 2024.

An IP-Agnostic Foundational Cell Array Offering Supply Chain Security

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C. Talbot, Deepali Garg, L. Pileggi and K. Mai, “An IP-Agnostic Foundational Cell Array Offering Supply Chain Security,” The 61st Design Automation Conference, June 2024.

IP-Agnostic Standard Cell Fabric Offering Tamper Resistance and Supply Chain Resilience

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C. Talbot, Deepali Garg, L. Pileggi and K. Mai, “IP-Agnostic Standard Cell Fabric Offering Tamper Resistance and Supply Chain Resilience,” Government Microcircuit Applications and Critical Technology Conference (GOMACTech), March 2024.

Quantifying the Efficacy of Logic Locking Methods, International Conference on VLSI Design

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D. Garg, J. Sweeney and L. Pileggi, Quantifying the Efficacy of Logic Locking Methods, International Conference on VLSI Design, Kolkata India, January 2024.

Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning

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S. Li, J. Drgona, S. Abhyankar, L. Pileggi, Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning, 5th International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES 2023), Orlando FL, June 2023.

Actionable Three-Phase Infeasibility Optimization with Varying Slack Sources

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E. Foster, T. McNamara, A. Pandey and L. Pileggi, Actionable Three-Phase Infeasibility Optimization with Varying Slack Sources, IEEE PES General Meeting, July 16-20, 2023

Shedding Light on Inconsistencies in Grid Cybersecurity: Disconnects and Recommendations

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B. Singer, A. Pandey, S. Li, L. Bauer, C. Miller, L. Pileggi, V. Sekar, Shedding Light on Inconsistencies in Grid Cybersecurity: Disconnects and Recommendations, IEEE Symposium on Security and Privacy, May 22-26, 2023.

Adversarially Robust Learning for Security-Constrained Optimal Power Flow, Neural Information Processing Systems

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P. Donti, A. Agarwal, L. Pileggi, Z. Kolter, Adversarially Robust Learning for Security-Constrained Optimal Power Flow, Neural Information Processing Systems, 2021

Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF,  Power Systems Computation Conference (PSCC)

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T. McNamara, A. Pandey, A. Agarwal, L. Pileggi, Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF,  Power Systems Computation Conference (PSCC), June 27-July 1, 2022

Employing Adversarial Robustness Techniques for Large-Scale Stochastic Optimal Power Flow, 22nd Power Systems Computation Conference (PSCC)

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A. Agarwal, P. Donti, L. Pileggi, Employing Adversarial Robustness Techniques for Large-Scale Stochastic Optimal Power Flow, 22nd Power Systems Computation Conference (PSCC), Porto, Portugal, 2022