Tushar Mehrotra
Papers
2
Total Citations
10
H-Index
2
About
Tushar Mehrotra is a forward-thinking researcher working at the intersection of artificial intelligence and sustainable robotics. His work primarily focuses on two transformative areas: AI-driven medical diagnostics and energy harvesting for automation. In his highly cited 2025 study, Mehrotra developed a residual network-based deep learning framework for diabetic retinopathy detection, contributing to the rapidly growing field of AI in healthcare—a market projected to reach $45.2 billion. This work demonstrates how deep learning can enhance diagnostic accuracy in medical imaging, potentially revolutionizing early disease detection. On the engineering side, his 2023 paper explores innovative energy harvesting methods for small-scale robotics in the automation industry, addressing the critical challenge of powering compact, efficient robots used in manufacturing processes like assembly and welding. While his citation counts are still building—with 8 and 2 citations respectively—these works signal his dual commitment to advancing both healthcare technology and industrial automation. Mehrotra’s research is particularly relevant for students and researchers interested in the convergence of AI, medical imaging, and sustainable robotics, offering a glimpse into how intelligent systems can improve human health and industrial efficiency simultaneously.
Research Focus
Key Achievements
Top Papers
- 1
- 2