Prof. Yoong Choon Chang

Universiti Tunku Abdul Rahman (UTAR), Malaysia

Bio.: Ir. Prof. Dr. CHANG Yoong Choon is a Professor and Head of the Department of Electrical & Electronic Engineering at Universiti Tunku Abdul Rahman (UTAR). He is also the Director of XDU-UTAR Institute of Science, Technology and Innovation, jointly setup by Xidian University China and UTAR. He earned his BEng (First Class Honours) from the University of Northumbria at Newcastle, UK, and both his Master of Engineering Science and PhD (Engineering) from Multimedia University, Malaysia.

Prof. Chang’s extensive research interests keenly align with the evolving landscape of intelligent transportation. His work particularly focuses on the practical applications of artificial intelligence, wireless communications, and signal processing in areas such as smart homes, ambient assisted living, and vehicular communication. He has been a driving force in numerous research projects, including those on digital home technologies and cognitive radio-enabled vehicular cyber-physical systems.

Title: Enhancing Mechatronics Research Productivity using AI Tools

The multidisciplinary nature of mechatronics, integrating mechanical, electronic, and software engineering, presents unique and complex research challenges. In an era demanding rapid innovation, the traditional research lifecycle can be a significant bottleneck. This keynote explores the transformative role of modern Artificial Intelligence (AI) tools in accelerating research productivity within the mechatronics domain. We will demonstrate how researchers can strategically leverage Large Language Models (LLMs) and specialized AI platforms—such as ChatGPT, Gemini, DeepSeek, and NotebookLM—to streamline and enhance every stage of their work.

Key applications to be discussed include expediting comprehensive literature reviews, generating and debugging complex code for simulations and control systems, analyzing experimental data, and refining manuscript drafts. By integrating these AI tools as intelligent research assistants, scholars can significantly reduce time spent on laborious tasks, allowing for a greater focus on novel problem-solving and conceptual innovation. This presentation will provide practical strategies and real-world examples, equipping attendees with the knowledge to harness AI as a powerful collaborator, thereby fostering a more dynamic, efficient, and productive research environment in mechatronics.