Sagar Verma

Granular AI

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I hold the position of Chief Technology Officer and Co-Founder at Granular AI. Our mission at Granular AI is to make Geospatial Machine Learning accessible to everyone. We’ve introduced a groundbreaking Geospatial MLOps platform named GeoEngine, which stands as the world’s first. Moreover, we’ve developed a user-friendly natural language interface for GeoEngine called GeoSearch. This innovative tool enables users to effortlessly search for various geospatial events, obtain satellite/aerial images, and perform analysis without the need for coding skills. The research team at Granular AI is advised by our great advisors from academia Dr. Maria Vakalopoulou, Dr. Matthieu Terris, and Dr. Kavya Gutpa.

I completed my Ph.D. in 2022 under Dr. Jean-Christophe Pesquet on neural network pruning for time-series applications from CentraleSupélec, Université Paris-Saclay. As part of my Ph.D., I worked on modeling the dynamics of heavy electrical motors using neural networks under the guidance of Dr. Marc Castella, Dr. Nicolas Henwood, and Dr. Al-Kassem Jebai. I was funded by ANRT CIFRE and Schneider Electric.

Before moving to France, I worked at IIIT Delhi as Junior Research Fellow (2017-2018) under Dr. Chetan Arora. I worked on egocentric video understanding. I was also part of IBM Research India Watson AI NLQ team in 2017 where I developed natural language search systems for banking applications.

I completed my M.Tech in Computer Science and Engineering from IIIT-Delhi and was a member of CVML Research Lab (Batch 2015-2017). I did my master’s thesis on Egocentric Video Understanding under the guidance of Dr. Chetan Arora. I have also worked with Dr. Angshul Majumdar on applications of generative models to collaborative filtering and energy management systems. I have also worked with Dr. P.B. Sujit on reinforcement learning for control problems.

Research Interests

  • Robustness of large vision and language models

  • Efficient Neural Networks

  • Video Understanding

  • GeoSpatial AI

  • Optimization