Rajendra M. Rewatkar

Datta Meghe Institute of Medical Sciences

Papers

Total Citations

H-Index

About

Rajendra M. Rewatkar is an emerging researcher at the forefront of applying artificial intelligence to critical real-world challenges, particularly in healthcare and agriculture. His work focuses on developing innovative computational models that bridge the gap between theoretical physics and machine learning. In his most cited paper, "Physics-informed hybrid models for enhanced precision in breast cancer classification," Rewatkar introduces a novel approach that integrates physical laws with AI to improve early cancer detection—a vital contribution given that early diagnosis significantly increases treatment success rates. This work has already garnered attention with 3 citations shortly after publication. Additionally, his review "A Review on the Use of AI and Robotics in Agricultural Practices" demonstrates his versatility, exploring how robotics and AI can revolutionize farming by boosting yields, sustainability, and efficiency. Though early in his career, Rewatkar’s interdisciplinary focus on physics-informed AI and agricultural robotics positions him as a promising innovator, with potential to make lasting impacts on both medical diagnostics and sustainable food production.