C. Sathish Kumar

Mahatma Gandhi University, Indian Institute of Technology Kharagpur

Papers

Total Citations

H-Index

About

C. Sathish Kumar is a researcher whose work spans the frontiers of medical image analysis, assistive technology, and computer vision. His most impactful contribution lies in the early application of deep learning for medical diagnostics, particularly in his 2018 study on brain tumor segmentation. By integrating Convolutional Neural Networks (CNNs) with edge detection techniques, Kumar developed a method to more accurately identify aggressive gliomas in MRI images—a critical step for treatment planning. This paper, his most cited with 25 citations, remains a foundational reference for researchers combining classical image processing with modern AI. Kumar’s research also demonstrates a strong commitment to human-computer interaction and accessibility. His 2024 work on deciphering hand movements using neural networks aims to create intuitive interfaces for individuals with limited mobility, while his 2022 project on game control via webcam explores real-time gesture recognition. Earlier in his career, he contributed to sensor network modeling for object tracking using Kalman filtering. Across these diverse projects, Kumar consistently applies computational methods to solve tangible, real-world problems, from healthcare to assistive robotics, making his work both technically rigorous and socially relevant.