Electrical Engineering PhD @ Stanford
Optimization and power systems

I'm currently a 5th year PhD candidate studying optimization and market design for the electricity grid. My focus is on developing computational tools for long-term grid planning problems. I'm grateful to be supported by the Stanford Graduate Fellowship and the DOE Computational Science Graduate Fellowship.

Publications

• GPU Accelerated Security Constrained Optimal Power Flow
  Degleris, El Gamal, and Rajagopal
  Preprint (2024)

• Scalable and Interactive Electricity Grid Expansion Planning
  Degleris, El Gamal, and Rajagopal
  Preprint (2024)

• Gradient methods for scalable multi-value electricity network expansion planning
  Degleris, El Gamal, and Rajagopal
  Preprint (2024)

• Fast grid emissions sensitivities using parallel decentralized implicit differentiation
  Degleris, Fuentes Valenzuela, El Gamal, and Rajagopal
  IEEE SmartGridComm (2024)

• Equitable dynamic electricity pricing via implicitly constrained dual and subgradient methods
  Balogun, Martin, Degleris, and Rajagopal
  IEEE SmartGridComm (2023)

• Dynamic locational marginal emissions via implicit differentiation
  Fuentes Valenzuela, Degleris, El Gamal, Pavone, and Rajagopal
  IEEE Transactions on Power Systems (2023)

• Spatiotemporal clustering with Neyman-Scott processes via connections to Bayesian nonparametric mixture models
  Wang, Degleris, Williams, and Linderman
  Journal of the American Statistical Association (2023)

• Emissions-aware electricity network expansion planning via implicit differentiation
  Degleris, Fuentes Valenzuela, El Gamal, and Rajagopal
  Climate Change Workshop at NeurIPS (2021) (Spotlight Talk)

• Point process models for sequence detection in high-dimensional neural spike trains
  Williams, Degleris, Wang, and Linderman
  NeurIPS (2020) (Oral Presentation)

• A provably correct and robust algorithm for convolutive nonnegative matrix factorization
  Degleris and Gillis
  IEEE Transactions on Signal Processing (2020)

Teaching

• From 2017 to 2020, I TA'd ENGR 108 (Applied Matrix Methods) under Professors Stephen Boyd, David Tse, and Brad Osgood.

• In 2022, I redesigned the lecture notes for CEE 272R (Engineering Future Electricity Systems) in collaboration with Professor Ram Rajagopal.