Amritanshu Pandey
Assistant Professor, Department of Electrical and Biomedical Engineering
- PhD, Carnegie Mellon University
- M.S., Carnegie Mellon University
- Electrical and Computer Engineering (with EBE)
- Gund Institute Affiliate
BIO
Amritanshu (Amrit) Pandey is an Assistant Professor in the Electrical and Computer Engineering Program at ÈÕº«ÎÞÂë. He also holds an adjunct appointment in Electrical and Computer Engineering at Carnegie Mellon University. His overarching research goal is to develop electric energy technologies to help combat climate change while modernizing the underlying system. He develops these technologies using circuit theory, nonlinear optimization, machine learning, and numerical methods. In the past, he and his team developed a novel circuit-theoretic simulation and optimization framework for power grids. The project culminated in a new grid analytics tool: Simulation of Unified Grid Analysis and Renewables (SUGAR), which Pearl Street Technologies, Inc. has since commercialized.
Key areas of interest are large-scale grid simulation and optimization, grid cybersecurity, digital twins, electric mobility, and energy equity.
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
Area(s) of expertise
My research is at the intersection of modeling, simulation, and optimization of electric energy systems
Bio
Amritanshu (Amrit) Pandey is an Assistant Professor in the Electrical and Computer Engineering Program at ÈÕº«ÎÞÂë. He also holds an adjunct appointment in Electrical and Computer Engineering at Carnegie Mellon University. His overarching research goal is to develop electric energy technologies to help combat climate change while modernizing the underlying system. He develops these technologies using circuit theory, nonlinear optimization, machine learning, and numerical methods. In the past, he and his team developed a novel circuit-theoretic simulation and optimization framework for power grids. The project culminated in a new grid analytics tool: Simulation of Unified Grid Analysis and Renewables (SUGAR), which Pearl Street Technologies, Inc. has since commercialized.
Key areas of interest are large-scale grid simulation and optimization, grid cybersecurity, digital twins, electric mobility, and energy equity.
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
Areas of Expertise
My research is at the intersection of modeling, simulation, and optimization of electric energy systems
Selected Publications
Selected Publications
- 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, .
- 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.