Dr Tayab Memon is an innovative academic with 15+ years of experience in teaching, research, and administration at higher education institutes (HEIs) where he has collaborated with multidisciplinary academics, industry, and international partners for the completion of cutting-edge industrial projects. He has led a research team for the development of technology-driven innovative solutions for the sustainable railway infrastructure. As head of the department, he has implemented Washington Accord-approved educational system for the accreditation of the electronic engineering program. He has developed skills in the scholarship of learning and teaching, higher education policy development, coordination of the units in online mode with flipped learning pedagogy, and teaching-related academic governance.  

Tayab specializes in the development of artificial intelligence-based innovative solutions for the predictive maintenance of the railway infrastructure. His research interests include Artificial Intelligence, Machine Learning, Signal Processing, embedded systems, fault detection, and identification Systems, and Education Philosophy. Dr. Tayab has published 60+ research articles in very highly reputed refereed international journals/conferences that are further cited and extended by leading scientists, the press of prominent universities.