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Administrative data

Rahul Gupta

rahul.gupta@epfl.ch https://www.epfl.ch/labs/grid-ess/

Nationality: Indian

EPFL Valais Wallis
EPFL STI IEM GRID-ESS
Route des Ronquos 86
1951 Sion

EPFL Valais Wallis
EPFL STI IEM GRID-ESS
Route des Ronquos 86
1951 Sion

Expertise

Energy storage systems, grid optimization, power distribution grids, ML-based data-driven algorithms for power systems optimization, modeling, and control of IBR-rich power systems.

Mission

Our mission is to develop scalable optimization, control, and planning algorithms for the reliable, efficient, and sustainable integration of distributed energy resources, such as energy storage systems, renewable energy resources, and electric vehicles, etc., into power grids. We focus on designing grid-aware decision-making tools across multiple temporal and spatial scales, spanning real-time control to long-term planning, while accounting for uncertainty and operational constraints. The lab bridges theory and practice by developing methods that integrate rigorous mathematical optimization with data-driven approaches and validating them on real-world systems. Our research enables the transformation of electric power systems into reliable, resilient, and intelligent infrastructures that support a clean and flexible energy future.
Rahul Gupta is a tenure-track assistant professor of Electrical and Micro Engineering at the School of Engineering (STI) at the École Polytechnique Fédérale de Lausanne (EPFL) and leads the Grid-Integrated  Energy Storage Systems (GRID-ESS) Lab.  His research focuses on scalable optimization and control frameworks for the reliable, efficient, and sustainable integration of distributed energy resources, energy storage, solar, etc., into power grids, addressing various types of uncertainties, measurement and model-less control schemes, model-identification techniques, and synthetic network generation. 

Before joining EPFL, he served as an assistant professor at the School of Electrical Engineering and Computer Science (EECS) at Washington State University (WSU), USA, from Jan 2025 to May 2026, and as a postdoctoral researcher at the Georgia Institute of Technology, USA, from October 2023 to December 2024. He earned his M.Sc. and Ph.D. degrees in Electrical Engineering from the EPFL, Switzerland, in 2018 and 2023, respectively, and a B.Tech degree in Electrical Engineering from the NIT, Rourkela, India, in 2014.  He has been awarded the Thesis Distinction in Electrical Engineering at EPFL and the ABB Research Award for his PhD work. 

Education

Electrical Engineering

| Title: Methods for Grid-aware Operation and Planning of Active Distribution Networks

2018 – 2023 EPFL
Directed by Mario Paolone, Fabrizio Sossan

Electrical Engineering

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2016 – 2018 EPFL

Electrical Engineering

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2010 – 2014 NIT Rourkela

Awards

Asea Brown Boveri Ltd. (ABB) Award

EPFL

2025

EDEE PhD Distinction Award

EPFL

2023

Zanelli: Technologie et Développement Durable Prize

EPFL

2018

Teaching & PhD

Courses

Energy conversion

EE-360

The course aims at providing the elements related to the energy conversion with particular reference to the electricity production by means of conventional and renewable energy sources. The course illustrates the fundamental notions for the modeling of energy conversion systems.

Courses

L'objectif de ce cours est d'introduire les systèmes et outils liés à la conversion d'énergie, en se référant au contexte particulier de la production d'énergie électrique, qu'elle soit conventionnelle ou bien en lien avec les sources d'énergie renouvelable.