Sparsity-exploiting Gaussian Process for Robust Transient Learning of Power System Dynamics

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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.

The Hacker Fab: An Open-Source Initiative for Nanofabrication Education

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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.

A Dynamical System Model of Federated Learning

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A. Agarwal, G. Joshi, and L. Pileggi, “FedECADO: A Dynamical System Model of Federated Learning,” The International Conference on Machine Learning (ICML), July 2025.

An Efficient Solution for Provably Secure Hardware

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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.

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