Amritanshu Pandey
Assistant Professor, Department of Electrical and Biomedical Engineering
Affiliate, Gund Institute for Environment
Billings B158A
48 University Place
Burlington, VT 05405
United States
- PhD, Carnegie Mellon University
- M.S., Carnegie Mellon University
Department of Electrical and Biomedical Engineering
Affiliate, Gund Institute for Environment
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Areas of expertise
My research is at the intersection of modeling, simulation, and optimization of electric energy systems
BIO
I am an Assistant Professor of Electrical Engineering at the University of Vermont. I also hold an adjunct appointment in the Department of Electrical and Computer Engineering at Carnegie Mellon University.
I build computational tools to plan and operate electric power grids. My methods lie at the intersection of nonlinear optimization, agentic AI systems, machine learning, equivalent circuit modeling, and numerical methods. I apply them to problems addressing renewable integration, grid reliability and resilience, automation of grid computations, digital twins, electric mobility, and energy affordability.
Earlier in my career, I developed a circuit-theoretic framework to simulate and optimize power grids at scale. That work produced a grid analytics tool, Simulation of Unified Grid Analysis and Renewables (SUGAR). Pearl Street Technologies, Inc. commercialized SUGAR, and Enverus, Inc. later acquired the company.
Courses
- EE5990L— Circuit Simulation and Optimization Methods: A Power Systems Perspective
- EE2125A — Circuits I
Awards and Achievements
(Selected)
- Faculty of the Year Award from the Green Mountain Section of IEEE, 2023.
- IEEE-Eta Kappa Nu Sigma Chapter's 2022 Excellence in Teaching Award (Awarded to one faculty each year in the Electrical and Computer Engineering department at Carnegie Mellon)
- Best-of-the-best Paper Awards in IEEE Power and Engineering Society General Meetings, 2017 & 2021
- Google Cloud Research Innovator
Bio
I am an Assistant Professor of Electrical Engineering at the University of Vermont. I also hold an adjunct appointment in the Department of Electrical and Computer Engineering at Carnegie Mellon University.
I build computational tools to plan and operate electric power grids. My methods lie at the intersection of nonlinear optimization, agentic AI systems, machine learning, equivalent circuit modeling, and numerical methods. I apply them to problems addressing renewable integration, grid reliability and resilience, automation of grid computations, digital twins, electric mobility, and energy affordability.
Earlier in my career, I developed a circuit-theoretic framework to simulate and optimize power grids at scale. That work produced a grid analytics tool, Simulation of Unified Grid Analysis and Renewables (SUGAR). Pearl Street Technologies, Inc. commercialized SUGAR, and Enverus, Inc. later acquired the company.
Courses
- EE5990L— Circuit Simulation and Optimization Methods: A Power Systems Perspective
- EE2125A — Circuits I
Awards and Achievements
(Selected)
- Faculty of the Year Award from the Green Mountain Section of IEEE, 2023.
- IEEE-Eta Kappa Nu Sigma Chapter's 2022 Excellence in Teaching Award (Awarded to one faculty each year in the Electrical and Computer Engineering department at Carnegie Mellon)
- Best-of-the-best Paper Awards in IEEE Power and Engineering Society General Meetings, 2017 & 2021
- Google Cloud Research Innovator
Selected Publications
Selected Publications
- Badmus, E. O., Sang, P., Stamoulis, D., & Pandey, A. (2027). Powerchain: A Verifiable Agentic AI System for Automating Distribution Grid Analyses. Electric Power Systems Research, 262, 113555.
- Ali, M. H., & Pandey, A. (2024). Distributed Primal-Dual Interior Point Framework for Analyzing Infeasible Combined Transmission and Distribution Grid Networks (2025). Hawaii International Conference on System Sciences (HICSS).
- Sang, P., Pandey, A. (2024). Circuit-theoretic joint parameter-state estimation—Balancing optimality and AC feasibility. Electric Power Systems Research, Volume 235, 2024, 110637, ISSN 0378-7796, https://doi.org/10.1016/j.epsr.2024.110637.
- Agarwal, A., Pandey, A., & Pileggi, L. (2023). Continuous Switch Model and Heuristics for Mixed-Integer Nonlinear Problems in Power Systems. IEEE Transactions on Power Systems.
- Pandey, A. (2023). Circuit-Based Electromagnetic Transient Simulation. Foundations and Trends® in Electric Energy Systems, 6(2), 83-118.
- Pandey, A., Jereminov, M., Wagner, M. R., Bromberg, D. M., Hug, G., & Pileggi, L. (2018). Robust power flow and three-phase power flow analyses. IEEE Transactions on Power Systems, 34(1), 616-626.