Tayab Din Memon

Senior Learning Facilitator , PhD , Senior Learning Facilitator

Accepting PhD Students

PhD projects

Using Artificial Intelligence development of Condition Monitoring Systems by fault detection and identification in a typical application domain for sustainable infrastructure solutions. Using signal processing to develop high-performance computing algorithms for better wireless communication and its hardware synthesis on SoC/FPGA.
Artificial intelligence for learners' engagement, progression, early intervention, and retention; Education Technology and philosophy.

Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

Personal profile

Research interests

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.

Research Profile

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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Computer Engineering , PhD, Design and analysis of short word length DSP systems for mobile communication, Royal Melbourne Institute of Technology University

Award Date: 16 Jul 2012


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