2024 International Conference on Industrial Automation and Robotics (IAR 2024)
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Professor Jagath Rajapakse.png

Prof. Jagath Chandana Rajapakse

IEEE Fellow

Nanyang Technological University, Singapore

Email: asjagath@ntu.edu.sg


Jagath Rajapakse is Professor of Computer Science and Engineering at the Nanyang Technological University (NTU), Singapore. He has BSc degree in Electronics and Telecommunication Engineering from University of Moratuwa (UM), Sri Lanka, and MS and PhD degrees in Electrical and Computer Engineering from University at Buffalo (UB), USA. He was Visiting Professor to the Department of Biological Engineering at Massachusetts Institute of Technology (MIT).

His research works are in the areas of data science, machine learning, brain imaging, and computational and systems biology. He has published over 300 peer-reviewed research articles in high-impact journals and conferences. His research articles have been cited over 14,000 times on Google Scholar. He was recently ranked among the top 2% scientists globally by Stanford Study.

He serves as Editor for Engineering Applications in Artificial Intelligence journal (IF = 7.802) and served as Associate Editor for IEEE Transactions on medical imaging, IEEE Transaction on neural networks and learning systems, and IEEE Transactions on computational biology and bioinformatics. He was a Fulbright Scholar and appointed IEEE Fellow in 2012 in recognition of his contributions to brain image analysis.

Title: Thermal hotspot detection for preventive maintenance and safey

Abstract: In the realm of preventive maintenance and safety, the detection of thermal hotspots is pivotal. Theseanomalous areas, characterized by elevated temperatures compared to their surroundings, often preludeequipment failure, energy loss, or even hazardous conditions that could lead to catastrophic eventsThermal imaging, which translates heat into visible data, has become an indispensable tool in identifyingthese hotspots early. However, the traditional reliance on manual analysis and labeled data for hotspotdetection presents significant limitations in terms of scalability, speed, and adaptability. Addressing thesechallenges reguires innovative approaches that leverage the latest advancements in machine learning toautomate and enhance the accuracy of hotspot detection.....


Assoc. Prof. Ming Xie

Nanyang Technological University, Singapore

Email: mmxie@ntu.edu.sg


Xie Ming is holding the positions of Associate Professor at Nanyang Technological University, Editor-in-Chief of International Journal of Humanoid Robotics (Indexed by SCI/SCIE), Associate Editor of IEEE Transaction on Autonomous Mental Development, and Director of private companies. He has served as technical consultants to Asia Electronics Pte Ltd in 1994, Port of Singapore Authority in 1994, Delphi Automotive Systems Pte Ltd in 2001, ST Aerospace Ltd in 2006, Murata Electronics Pte Ltd in 2007, and Sony Electronics Pte Ltd in 2007. He has also worked with Renault Automation (Paris/France) in 1986, INRIA Sophia-Antipolis (Nice/France) between 1990 and 1993, and Singapore-MIT Alliance between 2000 and 2004. In addition, Xie Ming has served as the General Chair of International Conference on Climbing and Walking Robots in 2007, and International Conference on Intelligent Robotics and Applications in 2009. Xie Ming obtained his B.Eng in control and automation in 1984. At the same year, he was selected as one of Chinese government's overseas scholars. Thereafter, he obtained the Master degree in industrial automation from the University of Valenciennes (France) in 1986, and the Ph.D degree in informatics from the University of Rennes (France) in 1989. He has published one best-selling book in robotics in 2003, and over 100 research papers so far. Xie Ming has taught a number of university courses such as Applied Machine Vision, Robotics, Computer Graphics, Statistical Process Control, and Physics. Xie Ming's research strengths are in machine intelligence, humanoid robotics and autonomous vehicles. In total, he has won two scientific competition awards, and two best conference paper awards.