Dilip Kumar Sharma

Jaypee University of Engineering and Technology, Guna

Papers

Total Citations

H-Index

About

Dr. Dilip Kumar Sharma stands at the forefront of applied artificial intelligence, bridging the gap between cutting-edge machine learning and real-world problem-solving. His research primarily spans three transformative domains: performance management through automation, intelligent e-commerce systems, and biomedical image analysis. In his most cited work (45 citations), Dr. Sharma critically evaluates how robotics, machine learning, and AI are reshaping performance management, offering a foundational framework for organizations navigating digital transformation. He further demonstrates his versatility by developing an e-commerce product comparison portal that leverages data mining to classify customer behavior, enhancing user experience and decision-making. Perhaps his most impactful contribution lies in biomedical engineering, where he applies machine learning to thermal mammogram images for early breast cancer detection (BCD). By analyzing symptoms such as lumps, nipple deformation, and discharge, his CAD system addresses a critical need—detecting breast cancer in both women and men at early, more treatable stages. With a growing citation footprint and a clear focus on socially relevant applications, Dr. Sharma exemplifies how AI can drive innovation across industry, commerce, and healthcare.