Tai Kang
Associate Professor
School of Mechanical and Aerospace Engineering
Nanyang Technological University
Singapore
Biography
Prof Tai obtained his B.Eng.(1st Class Honours) in Mechanical Engineering from the National University of Singapore in 1990, after which he worked as a product design engineer for more than two years in the consumer electronics division of Philips Singapore. In 1992 he left to pursue his Ph.D. at the Imperial College of Science, Technology and Medicine in London, after which he returned to Singapore in 1995 to join NTU as a faculty member and he is currently an associate professor there. From 2001 to 2004 he was concurrently appointed as a faculty fellow of the Singapore-MIT Alliance, and since 2014 he has been concurrently appointed as a fellow of the Renaissance Engineering Programme at NTU. He is a member of ASME and ISSMO, and a member of the editorial advisory board of Engineering Optimization. He teaches various courses in design, optimization, computer-aided design and finite element analysis. His research interests include optimization, genetic/evolutionary algorithms, computational geometry, folding/unfolding of 3D folded structures, structural design optimization, system identification and mathematical modeling of industrial processes, and analysis of risks and vulnerabilities in supply chains and critical infrastructure interdependencies/networks. He has published more than 130 peer-reviewed technical papers in international journals and conferences.
Research Interest
Design Optimization, Structural Design Optimization, Design of 3D Foldable Structures, Modeling and Optimization of Manufacturing Processes, Modeling and Analysis of Risks and Vulnerabilities in Supply Chains and Critical Infrastructure Networks
Publications
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Garg, A., Tai, K. and Savalani, M.M. (2014) “State-of-the-Art in Empirical Modelling of Rapid Prototyping Processesâ€, Rapid Prototyping Journal, Vol.20, No.2, pp.164-178
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Garg, A., Tai, K., Lee, C.H. and Savalani, M.M. (2014) “A Hybrid M5’-Genetic Programming Approach for Ensuring Greater Trustworthiness of Prediction Ability in Modelling of FDM Processâ€, Journal of Intelligent Manufacturing, Vol.25, No.6, pp.1349-1365
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Chew, K.H., Tai, K., Ng, E.Y.K. and Muskulus, M. (2015) “Optimization of Offshore Wind Turbine Support Structures Using an Analytical Gradient-Based Methodâ€, Energy Procedia, Vol.80, pp.100-107