Decision Intelligence Lab
Decision Intelligence Lab
Welcome! We are a research group in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder. Our work focuses on the development of data-driven and model-based theory, algorithms, and computational tools for large-scale decision-making under uncertainty, at the intersection of optimization and machine learning. Our work is motivated by challenges in power and energy systems, while the theory and tools we develop are designed to be broadly applicable across complex engineered and socio-technical systems, including supply chains, infrastructure networks, and operations problems.
Recent news
  • Jan. 21, 2026: Accepted! 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. 1, 2026: Gonzalo joined the Department of Electrical, Computer and Energy Engineering at CU Boulder as an Assistant Professor!
  • Dec. 5, 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 INFORMS Annual Meeting in Atlanta.
  • Sep. 26, 2024: Gonzalo will be presenting a poster in "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 will be presenting at the panel "Outstanding Doctoral Dissertation in Power and Energy Systems" at IEEE PES General Meeting in Seattle.
  • May 3, 2024: Happy to announce that Gonzalo has been selected as a finalist for the 2024 IEEE PES PEEC Outstanding Doctoral Dissertation Award.
  • Aug. 13, 2023: Accepted! Our paper G. E. Constante-Flores, Antonio J. Conejo, and Feng Qiu, "Daily Scheduling of Generating Units with Natural-Gas Market Constraints" has been accepted for publication in the European Journal of Operational Research.
  • Jul. 17, 2023: Gonzalo will be presenting our work in "Security-Constrained Unit Commitment: A Decomposition Approach Embodying Kron Reduction" at the International Conference in Stochastic Programming in Davis, CA.
  • Jun. 8, 2023: Accepted! Our paper G. E. Constante-Flores and Antonio J. Conejo, "Security-Constrained Unit Commitment: A Decomposition Approach Embodying Kron Reduction" has been accepted for publication in the European Journal of Operational Research.