His research interests include digital image processing, Nature Inspired Optimization and Operation Research. He has proposed a Nature Inspired Optimization Metaheuristics Algorithm in Honey Bee Foraging for solving Weapon Target Assignment Problems. His current focus is developing a high-speed Object Detection Algorithm (YOLOv7) that can detect and identify objects from images and videos.
His research interest is in applying machine learning in the agricultural scope (crops and livestock) and making an intelligent agro framework that takes advantage of the stakeholders. He is focussing on developing models and algorithms to reach high agricultural productivity with minimal consumption of resources.
He is a motivational researcher, and his research interests include Machine Learning and Computational Biology. The current study employs machine learning models to predict the interactions between bat-associated viruses and human cellular receptor proteins for predicting Zoonotic diseases.