Distinguished Speakers at ICiMR 2026

A curated line up of thought leaders from academia, industry, and global research institutions.

The programme will feature experts across manufacturing, robotics, and emerging technologies shaping the future of the industry.

About the Speakers

ICiMR 2026 will bring together a distinguished group of voices from leading universities, industry pioneers, technology innovators, and research institutions.

The conference programme is designed to offer both academic depth and real-world perspective, bridging the gap between research, application, and future-forward thinking in intelligent manufacturing and robotics.

 

Keynote Speakers

Prof. Dr. Chee Seng Chan

Professor, Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, Universiti Malaya

Prof. Dr. Chee Seng Chan is a Professor at Universiti Malaya specialising in computer vision, machine learning, and trustworthy artificial intelligence. His research spans visual understanding, generative models, federated learning, and AI security, with more than 100 peer reviewed publications in leading international journals and conferences.

An accomplished researcher and academic leader, Prof. Chan has served as Dean of Universiti Malaya’s Faculty of Computer Science & Information Technology, Head of its Department of Artificial Intelligence, and Undersecretary at Malaysia’s Ministry of Science, Technology and Innovation.

His contributions to research and innovation have been recognised through distinctions including the Malaysia Scopus Research Excellence Award, Top Research Scientists Malaysia, and the Hitachi Research Fellowship.

Prof. Chan is an ASEAN Chartered Professional Engineer, a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Professional Engineer registered with the Board of Engineers Malaysia (BEM). He currently serves as an Associate Editor of Pattern Recognition and IEEE Transactions on Circuits and Systems for Video Technology.

Dr. Yeong Che Fai

Co-Founder & Chief Executive Officer, DF Automation & Robotics Sdn Bhd

Dr. Yeong Che Fai is Co-Founder and Chief Executive Officer of DF Automation & Robotics Sdn Bhd, where he leads the company’s strategy and global expansion in autonomous mobile robotics, Industry 4.0 solutions, and industrial automation. Driven by exceptional business development acumen and insights in strategic growth, he has successfully spearheaded significant global expansion, penetrating new international markets including India, Europe, and the USA.

Prior to this, Dr. Yeong spent over 20 years in academia, where he last held the position of Associate Professor at Universiti Teknologi Malaysia, specialising in smart manufacturing, embedded systems, and robotics. During his tenure, he has published more than 100 peer-reviewed papers, with over 1,200 citations, and has extensive experience translating research and engineering innovation into commercially deployed technologies.

Dr. Yeong holds a PhD in Bioengineering from Imperial College London. A highly decorated innovator, Dr. Yeong has garnered over 100 international and national awards, including top honours from the Royal Academy of Engineering (UK), Frost & Sullivan, and the British Invention Show. He is a frequent public speaker, having presented at TEDx events, the IEEE HardTech Summit, and various industry forums regarding robotics, entrepreneurship, and IoT.

Keynote Speakers

Global leaders shaping the direction of intelligent manufacturing, robotics and industrial transformation

Industry Experts

Senior practitioners and innovators bringing real-world insights from manufacturing, automation and digital transformation

Academic & Research Contributors

Researchers and faculty from leading institutions presenting cutting-edge developments and applied research

Emerging Voices & Practitioners

Next-generation researchers and specialists contributing new perspectives and breakthrough ideas

Key Areas of Discussion

  • Intelligent Manufacturing Systems
  • Robotics and Automation
  • AI In Industrial Applications
  • Smart Factories and Industry 4.0
  • Semiconductor and Advanced Engineering
  • Digital Transformation in Manufacturing