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 a senior lecturer at Design and Creative Technology Torrens University Australia. Dr Tayab is an innovative academic with 15+ years of experience in teaching, research, and management 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 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 developmen 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.