About Me
Welcome! I am currently a postdoctoral researcher at Purdue University under the advice of Prof. Can Li . I used to be a Buckeye! I earned my Ph.D. in Electrical and Computer Engineering from The Ohio State University in 2022, where I was advised by Prof. Antonio Conejo. I am passionate about developing theory, algorithms, and models for large-scale optimization and machine learning with applications in power and energy systems. I am always happy to chat, so please feel free to reach out via email.
Interests
- Optimization
- Machine Learning
- Power Systems
Education
PhD Electrical Engineering
The Ohio State University
MSc Electrical Engineering
The Ohio State University
BSc Electrical Engineering
Escuela Politécnica Nacional
Recent news
- Sep. 26, 2024: I 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: I 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 I have 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: I 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.
- Dec. 7, 2022: I will be joining the group of Prof. Can li at Purdue University in January 2023 as a postdoctoral researcher.
Featured Publications
Peer-reviewed Journals
(2024).
Physics-informed neural networks with hard linear equality constraints.
Computers & Chemical Engineering.
(2024).
Diagnosing infeasible optimization problems using large language models.
INFOR: Information Systems and Operational Research.
(2024).
Daily scheduling of generating units with natural-gas market constraints.
European Journal of Operational Research.
(2024).
An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems.
EURO Journal on Computational Optimization.