Suman Niranjan

University of North Texas, Saveetha University

Papers

Total Citations

H-Index

About

Suman Niranjan is a rising interdisciplinary researcher whose work bridges artificial intelligence and healthcare, with a particular focus on predictive modeling for clinical and agricultural applications. In their most impactful study, "Predicting operative time for metabolic and bariatric surgery using machine learning models," Niranjan developed and compared multiple ML algorithms to forecast surgical duration, directly addressing the critical challenge of operating room scheduling and resource management. This work, which has already garnered 14 citations within its first year, demonstrates a practical application of AI that can reduce patient wait times and optimize hospital workflows. Niranjan also explores the transformative potential of AI in sustainable agriculture, as evidenced by their paper "Optimizing Agricultural Yields Using AI and Machine Learning," which examines how predictive analytics and precision farming can empower data-driven decision-making for producers. By applying machine learning to both surgical planning and crop management, Niranjan showcases a versatile approach to solving real-world efficiency problems. Their growing body of work positions them as a forward-thinking researcher at the intersection of computational methods and practical, high-impact outcomes.