Dr. Naveen Gehlot

Encourages interactive and outcome-based learning by integrating practical demonstrations, simulations, and real-world datasets in courses such as Machine Learning, Artificial Intelligence, Analog Electronic Circuits, and Cyber Physical Systems. Experienced in setting question papers, conducting theory and practical examinations, and evaluating students with a focus on both conceptual understanding and real-world application.

Actively guides undergraduate and postgraduate students in research projects, seminars, and thesis work in areas including sEMG signal processing, hand gesture recognition, biomedical signal analysis, and explainable AI. Provides mentorship in data acquisition, feature extraction, machine learning models, and scientific writing, ensuring strong research and analytical skills among students.

Engaged in advanced research in biomedical signal processing, human–machine interfaces, brain–computer interfaces, and intelligent healthcare systems. Continuously updates knowledge through journals, conferences, and workshops, while also mentoring students beyond the classroom and contributing actively to departmental and institutional academic activities.