Manoj Kumar Rajagopal

Texas Medical Center, Vellore Institute of Technology University

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About

Dr. Manoj Kumar Rajagopal is a leading researcher at the intersection of medical imaging, computer vision, and robotics, with a primary focus on advancing image-guided interventions and human-computer interaction. His most influential work, "Image fusion and navigation platforms for percutaneous image-guided interventions" (2016, 51 citations), has significantly impacted the field of minimally invasive surgery by developing robust frameworks that integrate multimodal imaging data with real-time navigation, improving precision and safety in clinical procedures. Dr. Rajagopal has also made notable contributions to gesture recognition technology, as demonstrated in his study on hand gesture recognition and classification (2017, 9 citations), where he pioneered methods to interpret both static and dynamic hand movements using Kinect sensors and wearable devices, enabling more intuitive human-machine interfaces. His recent work on enhancing SLAM efficiency through B-spline surface mapping (2024) represents a cutting-edge advancement in robotic perception, offering smoother and more accurate environmental reconstruction compared to traditional grid-based approaches. With a growing citation record and a research portfolio spanning medical robotics, computer vision, and sensor fusion, Dr. Rajagopal continues to push boundaries in creating intelligent systems that bridge the gap between human intent and machine action.