His research interests include Artificial Intelligence, Machine Learning, Signal Processing, embedded systems (FPGA/SoC), fault detection, and identification Systems, AI in Education (AIEd), Learning Analytics, and Higher Education Policy.

Tayab Memon is an Associate Professor at the School of Technology, Torrens University Australia. Dr Tayab is an innovative academic with over 20 years of experience in teaching, research, and management at higher education institutions (HEIs), where he has collaborated with multidisciplinary academics, industry, and international partners to complete cutting-edge industrial projects. He has served as Co-Principal Investigator at ‘Haptics, Human-Robotics, and Condition Monitoring System Lab’ as part of the consortium of 11 labs working under the National Center of Robotics and Automation (NCRA). As part of the lab, he led a research team for the development of technology-driven innovative solutions for sustainable railway infrastructure. He has successfully collaborated and published research work on early fault detection and identification system development for three-phase induction motors, railway wheelsets, track surface faults, and the development of high-performance computing algorithms by using advanced signal processing, machine learning, and deep learning algorithms. He has developed skills in the scholarship of learning and teaching, curriculum development, quality assurance, teaching-related academic governance, and coordination of the units in online mode with flipped learning pedagogy. He has served as head of the Department of Electronic Engineering, where he implemented the Washington Accord-approved educational system for the accreditation of the program.