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Sep 16, 2026 Our paper “Physics-Based Reinforcement Learning Framework for Energy Management of Airport Thermo-Electrical Microgrids,” coauthored with Pablo Verdugo-Rivadeneira, Mehrdad Pirnia, and Claudio A. Cañizares, has been accepted for publication in IEEE Transactions on Smart Grid.
Jun 04, 2026 🏆 Our paper “Diagnosing Infeasible Optimization Problems Using Large Language Models,” coauthored with Hao Chen and Can Li, has been selected as the 2026 INFOR Best Paper.
Jan 21, 2026 Our paper “A Quadratically-Constrained Convex Approximation for the AC Optimal Power Flow,” coauthored with Can Li, has been accepted for publication in Optimization and Engineering.
Jan 01, 2026 Gonzalo joined the Department of Electrical, Computer and Energy Engineering at the University of Colorado Boulder as an Assistant Professor.
Dec 05, 2025 Gonzalo presented our paper “Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules,” coauthored with Can Li and Hao Chen, at Advances in Neural Information Processing Systems (NeurIPS) in San Diego.
Oct 19, 2025 Gonzalo presented our work on “Learning to Tune Low-Fidelity Surrogates for Graph-Structured Optimization Problems with One Training Sample,” coauthored with André Quisaguano and Can Li, at the INFORMS Annual Meeting in Atlanta.
Sep 26, 2024 Gonzalo presented a poster on “Learning to Tune Low-Fidelity Optimization Models” at the launching event of the Center for Operations and Optimization in Process Systems (COOPS) at Purdue University.
Jul 24, 2024 Gonzalo presented at the panel “Outstanding Doctoral Dissertation in Power and Energy Systems” at the IEEE PES General Meeting in Seattle.
May 03, 2024 Gonzalo was selected as a finalist for the 2024 IEEE PES PEEC Outstanding Doctoral Dissertation Award.
Aug 13, 2023 Accepted! Our paper “Daily Scheduling of Generating Units with Natural-Gas Market Constraints,” by G. E. Constante-Flores, Antonio J. Conejo, and Feng Qiu, was accepted for publication in the European Journal of Operational Research.
Jul 17, 2023 Gonzalo presented our work “Security-Constrained Unit Commitment: A Decomposition Approach Embodying Kron Reduction” at the International Conference in Stochastic Programming in Davis, California.
Jun 08, 2023 Accepted! Our paper “Security-Constrained Unit Commitment: A Decomposition Approach Embodying Kron Reduction,” by G. E. Constante-Flores and Antonio J. Conejo, was accepted for publication in the European Journal of Operational Research.