Open Access Peer-reviewed Editorial

From the Editor-in-Chief of RIMA

Main Article Content

Matthew Chin Heng Chua corresponding author


The journal RIMA would be the bridge between researchers and industry practitioners. The key theme on smart factories encompasses many topics of interests; for example, digital design, novel control algorithms, digital twins, cobots (collaborative robots) and more. Furthermore, in today’s pandemic world which has significantly transformed the way traditional manufacturing industries operate, there is an even greater drive for a change in the manufacturing paradigm. Scientists and engineers of today should take bold steps in proposing and validating new workspace architecture that is reflective of the future. For instance, the development of digital twins or even virtual collaborative manufacturing are key drivers as we move into a future where both the virtual world and reality become seamless.

intelligent manufacturing, artificial intelligence, data science, smart factory, collaborative systems

Article Details

Author Biography

Matthew Chin Heng Chua, Institute of System Science, National University of Singapore, Singapore

Dr. Matthew Chua is currently a lecturer and principal investigator at the NUS Institute of System Science where he pioneers new research and technologies in Smart Healthcare, Artificial Intelligence and Advanced Robotics. He has won prestigious research grants, amounting to more than S$1 million, from Ministry of Health, SG Enable and internationally. His wide array of expertise makes him a highly sought-after collaborator from various industries. He is currently the Associate Editor for IEEE Access and PLOS Digital Health journals, the appointed Residential Fellow for NUS Kent Ridge Hall and an academic member-cum-research expert with the Singapore Health Technologies Consortium. Dr Chua also champions humanitarian efforts, both locally and overseas, as the staff-in-charge of NUS Red Cross Youth.

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How to Cite
Chua, M. (2022). From the Editor-in-Chief of RIMA. Research on Intelligent Manufacturing and Assembly, 1(1), 1-2.


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