Dr. Indrajit Kalita is a Postdoctoral Researcher at Boston University’s Faculty of Computing & Data Sciences (CDS), where he leverages advanced technologies to push the boundaries of environmental science. His current research focuses on developing precise and interpretable rainfall prediction models by integrating deep learning and computer vision techniques. This challenging yet exciting work aims to unravel complex weather patterns and improve the accuracy of environmental forecasting systems.

Before joining Boston University, Dr. Kalita was a Postdoctoral Researcher at CYENS Centre of Excellence in Nicosia, Cyprus. There, he explored Earth system dynamics and their relationship with climate change, employing state-of-the-art remote sensing imagery and sophisticated deep learning models. His work contributed significantly to understanding the intricate temporal and spatial processes shaping our planet.

Dr. Kalita’s academic journey began at the prestigious Indian Institute of Information Technology Guwahati (IIIT Guwahati), a premier Indian Government Institute of National Importance. His doctoral research focused on applying deep learning for the analysis of remotely sensed images, with a specialization in domain adaptation techniques for land cover classification. This foundational work has opened promising avenues for the integration of AI in Earth observation.

Currently, his research interests encompass spatiotemporal environmental change detection, uncertainty quantification (UQ), and explainable AI (XAI), aiming to develop innovative tools that provide interpretable and trustworthy insights from complex environmental data.

Driven by a deep commitment to understanding and preserving the Earth, Dr. Kalita continually seeks to bridge cutting-edge technology with environmental challenges. His ongoing contributions exemplify the powerful synergy between artificial intelligence and environmental science, fostering sustainable solutions for a resilient future.