Complementary Talks

Artificial Intelligence: Pioneering Advances and Transformative Applications (2 PDUs)

Synopsis

Artificial Intelligence (AI) is a dynamic and rapidly evolving field that draws inspiration from human cognition to solve complex challenges. This talk delves into groundbreaking advancements and diverse applications of AI-based models. Key methodologies will be explored, including neural networks, fuzzy systems, and evolutionary algorithms, highlighting their unique strengths in addressing data analytics, knowledge discovery, and optimisation problems.
The discussion will showcase real-world applications of AI across sectors such as healthcare, education, and industry, demonstrating its transformative potential. Furthermore, the session will emphasise the importance of ensuring the safe, ethical, and responsible use of AI technologies to foster innovation and societal progress while addressing the challenges of deploying AI in a rapidly changing world.
We are honoured to present a distinguished panel of speakers from Australia and Malaysia, each a trailblazer in their respective field of Artificial Intelligence and its applications to industry and research. Together, they represent a powerhouse of knowledge and innovation, offering invaluable insights into AI's transformative role in industry and society.
Featured Speakers

Professor Lim Chee Peng

Professor of Computational Intelligence
Department of Computing Technologies
Swinburne University of Technology Australia

Lim Chee Peng received his Ph.D. degree from the University of Sheffield, UK, in 1997. His research focuses on the design of AI-based models and algorithms as well as their applications to data analytic and decision support problems. He has published over 650 technical papers and received over 10 best paper awards in international conferences. He has also received many prestigious fellowships for global research collaboration, including the Australia-India Senior Visiting Fellowship, Australia-Japan Emerging Research Leader s Exchange Program, UK Commonwealth Fellowship at the University of Cambridge, US Fulbright Fellowship at the University of California, Berkeley and Visiting Scientists Program of the Office of Naval Research Global at both Harvard University and Stanford University, as well as the President’s International Fellowship Initiative of the Chinese Academy of Sciences.


Dr. Wong Li Pei

Associate Professor
School of Computer Sciences
Universiti Sains Malaysia Malaysia

Wong Li Pei is an Associate Professor at the School of Computer Sciences, Universiti Sains Malaysia (USM). Besides playing a role as a lecturer , he is holding an administrative position as Programme Manager (Postgraduate). He earned his bachelor’s and master’ s degrees in computer science from USM and completed his PhD at Nanyang Technological University, Singapore, under a USM scholarship. He has been conducting research on nature-inspired metaheuristics, soft computing, and hyper-heur istics in transportation and manufactur ing for over 15 years. He is interested in exploring the symbiotic relationship between optimization and machine learning, including how to leverage quantum computing to advance both fields. He serves on the Technical Committee of the Malaysia Open Science Alliance, collaborating with the Academy of Sciences Malaysia to promote open science initiatives.


Ts Dr Tan Choo Jun

Assistant Professor
Faculty of Information Technology and Computing
Tunku Abdul Rahman University of Management and Technology Penang, Malaysia

Tan Choo Jun received his PhD degree from USM in 2014. Currently, he is an academic at Tunku Abdul Rahman University of Management and Technology (TAR UMT). He has more than 10 years of experience in software design and development, as well as in research and development in AI , including multiple research projects that have been recognised with national and international awards, including the Silver Prize of the Open Source Software (OSS) World Challenge, South Korea. He also has extensive experience in teaching and learning, conducting both online and onsite lectures for tertiary students and serving as a learning advisor for undergraduate and postgraduate students. His research specialises in the design and development of computational intelligence models, particularly evolutionary algorithms and their applications to real-wor ld problems.