Sagun Gopal Kayastha is very active in research that combines atmospheric science and Artificial Intelligence. He utilizes Convolutional Neural Networks to attain more precise readings of air pollutants that are significant for both human health and the environment. Additionally, Sagun uses state of the art AI techniques like Transformer models for real time air quality predictions. Furthermore, he uses computer vision methods to conjoin missing environmental data and enhances his models with satellite images. Overall, Sagun’s study aims to enrich atmospheric science with fresh and noble approaches, with the end goal of providing long-term and robust solutions to weather and climate challenges.