A seasoned academic with over 30 years of teaching and research experience in electronics, communication, and computer engineering. Specializing in medical image processing, machine learning, and IoT systems, he holds a PhD from Anna University with a thesis on denoising techniques for brain MR images using curvelet transform. He has published multiple journal articles in Scopus-indexed venues and contributed to international conferences. His teaching spans signals and systems, digital image processing, machine learning, and Python programming. Actively engaged in accreditation and curriculum development, he has held academic roles in India, Saudi Arabia, and Ghana, and continues to mentor students in research projects involving wavelet transforms, image fusion, and AI applications.