The faculty member’s academic and research interests lie at the intersection of Supply Chain Management, Operations Management, Artificial Intelligence, and Agricultural Systems, with particular emphasis on developing data-driven and technology-enabled solutions for complex supply chain problems.

The research focuses on the application of Artificial Intelligence (AI), Machine Learning (ML), predictive analytics, optimization, and decision-support systems to improve the efficiency, resilience, sustainability, and responsiveness of supply chains. A significant area of research is agricultural and food supply chains, where uncertainty in production, demand, weather conditions, prices, transportation, storage, and product quality creates substantial operational challenges.