Dr. Andrew Ng is an Associate Professor with Singapore Institute of Technology. He is the Deputy Programme Director of the BEng (Honours) and MEngTech in Sustainable Infrastructure Engineering (Land), which focuses on railway engineering and total preventive maintenance. He is a Chartered Engineer with the UK Engineering Council and serves on the committees of various local and international professional engineering institutions, such as Institute of Electrical and Electronics Engineers (IEEE), Institution of Engineers Singapore (IES), Institution of Engineering and Technology (IET), and Institution of Railway Signal Engineers (IRSE). He is a Senior Member of IEEE and IES, as well as a Consultant and Advisor to startups and multinational corporations. In addition, Dr. Ng is a Principal Investigator of several grants amounting to more than half a million Singapore dollars. He holds one international patent and has more than 20 publications as both first and corresponding author. His research and development innovations have also garnered him several prestigious awards, such as Amity Researcher Award, Young Investigator Award, and National Instruments Editor’s Choice Engineering Impact Award. Furthermore, Dr. Ng has been frequently quoted and interviewed by news media on railway transportation issues and current affairs.
Keynote title: Towards Condition Monitoring and Prognosis of Railway Tracks
Railway transportation is a common mode of moving people, animals, and goods from one place to another. Condition monitoring and prognosis are essential to improve railway reliability, availability, maintainability, and safety. They also provide good basis for effective asset maintenance and management, thereby reducing downtime and maintenance costs. This keynote presentation will elaborate the concept and importance of condition monitoring and prognosis, particularly of railway track including track geometry and rail defects, which play a critical role in railway safety. Different railway track condition monitoring and prognostic methods and technologies that are available in academia and industry will also be discussed. Lastly, future developments in this area will be highlighted.