M. Thilagaraj

Karpagam Academy of Higher Education, MVJ College of Engineering

Papers

Total Citations

H-Index

About

Dr. M. Thilagaraj is a rising researcher at the intersection of biomedical engineering, artificial intelligence, and robotics, whose work focuses on developing intelligent systems to assist rehabilitation and automate hazardous tasks. His primary research areas include Brain-Computer Interfaces (BCI), machine learning for biomedical signal processing, and autonomous robotic systems. Dr. Thilagaraj’s most cited work, “Classification of Electroencephalogram Signal for Developing Brain-Computer Interface Using Bioinspired Machine Learning Approach” (17 citations), introduces a bioinspired approach to decode EEG signals, enabling direct device control for rehabilitation patients—a significant step toward restoring mobility for individuals with disabilities. He has also contributed to practical robotics with his paper on an “Automatic Ground Cleaning Robot” (11 citations), which integrates phone-based control for home automation, and his recent “Experimental Study of a Landmine Detection Robot” (4 citations), which demonstrates a user-friendly, high-accuracy prototype for humanitarian demining. By combining machine learning with hardware design, Dr. Thilagaraj’s work bridges theoretical advances and real-world applications, offering accessible solutions for healthcare and safety. His growing citation record reflects the increasing relevance of his interdisciplinary approach, positioning him as a promising innovator in assistive and autonomous technologies.