rajanie prabha

I am a PhD candidate at Stanford University, advised by Prof. Ram Rajagopal in the Civil and Environmental Engineering Department.

I am broadly interested in leveraging machine learning for power grid research, specifically focusing on spatial mapping of grid assets, equity in resource distribution, and grid optimization.

Before joining Stanford, I earned my Bachelor of Technology in Computer Engineering from the National Institute of Technology, Kurukshetra, and later completed my Master of Science in Informatics at the Technical University of Munich, Germany. I also had the opportunity to undertake my Masters thesis as an exchange student at ETH Zurich under the SEMP scholarship, working under the guidance of Prof. Konrad Schindler and Prof. Laura Leal-Taxie. My thesis is available online here.

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[Google] X, the Moonshot Factory

Pittsburgh Supercomputing Center, Pittsburgh

Philips Innovation Campus, Bangalore

Luminovo Artificial Intelligence, Munich

• SkyScript - Invited talk, Earth-ML Lunch, Stanford (May 2025)
• DeepSolar-3M - Sustainability Data Science Conference, Stanford DS, (April 2025)
• Generative Editing for Adversarial Attacks, Poster, EEML (2023)
• Explainability in AI - Invited talk, AnitaB.org (July 2021)
• CNN for Dummies - Invited talk, AnitaB.org (April 2021)