Rajesh Mahadeva

Manipal Academy of Higher Education, Khalifa University of Science and Technology

Papers

Total Citations

H-Index

About

Rajesh Mahadeva is a pioneering researcher at the intersection of artificial intelligence, robotics, and civil infrastructure. His work primarily focuses on advancing human-computer interaction through emotion classification and developing robotic systems for structural inspection. Mahadeva’s most cited paper, “Advancements in Emotion Classification via Facial and Body Gesture Analysis: A Survey” (2024), with 13 citations, provides a comprehensive overview of how machine vision, AI, and deep learning enable robots to interpret human emotions, enhancing psychological research and human-robot collaboration. This survey has become a key reference for researchers exploring affective computing and social robotics. Additionally, his work on “Robotic Drone Arm for Civil Structures Inspection: Challenges and Future Directions” (2023) addresses critical gaps in infrastructure maintenance, proposing drone-integrated robotic arms for accessing hard-to-reach areas in bridges and buildings. Though early in its citation impact, this paper outlines transformative solutions for aging infrastructure. Mahadeva’s contributions bridge the gap between emotional AI and practical robotics, offering tools that make machines more perceptive and infrastructure safer. His research is particularly valuable for students and engineers seeking to integrate AI with real-world robotic applications, from empathetic robots to autonomous inspection systems.