Dr J. Joshua Thomas is a Professor of Computer Science at the University of Wollongong Malaysia, where he leads research and academic initiatives in modern AI and data analytics. He holds a PhD in Intelligent Systems Techniques from Universiti Sains Malaysia, with his doctoral research focusing on adaptive computational frameworks for complex decision-making systems.
With more than two decades of experience in higher education and research, Prof. Thomas’s expertise spans intelligent systems, deep learning, graph neural networks, quantum machine learning, and data-driven optimization. His current research explores the integration of deep learning and graph-based models for applications such as drug discovery, autonomous systems, and intelligent process automation.
Prof. Thomas has authored and edited over a dozen books published by leading academic publishers including Wiley, Elsevier, and IGI Global, and has contributed more than fifty scholarly papers to high-impact journals and international conferences. He also serves as an editorial board member and guest editor for several international journals in computing and engineering, including the International Journal of Energy Optimization and Engineering.
Beyond his scholarly work, Prof. Thomas has served in multiple leadership roles, including Head and Deputy Head of the Department of Computing, and has been actively involved in collaborative research projects supported by national and international grants. He is regularly invited to deliver keynote and plenary talks, workshops, and lectures at international conferences and universities, sharing insights on emerging trends in artificial intelligence, data analytics, and computational intelligence.
Prof. Dr J. Joshua Thomas continues to advance research that bridges theoretical innovation with practical solutions, contributing significantly to the evolving landscape of intelligent computing and data-driven decision systems.
