World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
4765
World Ranking
8167
National Ranking
98

Overview

Kang Tai is affiliated with Nanyang Technological University in Singapore and has produced research primarily in the fields of Engineering and Physics and Astronomy. Their scholarly output spans a diverse range of topics and subfields, reflecting a multidisciplinary approach to scientific and technical challenges.

The prominent subfields Kang Tai has contributed to include Automotive Engineering, Atomic and Molecular Physics and Optics, Control and Systems Engineering, Electrical and Electronic Engineering, and Statistical and Nonlinear Physics.

The main topics covered in their research portfolio are:

  • Advanced Battery Technologies Research
  • Electric and Hybrid Vehicle Technologies
  • Piezoelectric Actuators and Control
  • Force Microscopy Techniques and Applications
  • Maritime Transport Emissions and Efficiency
  • Advanced MEMS and NEMS Technologies
  • Advanced Thermodynamics and Statistical Mechanics

Kang Tai has published a number of recent papers, with a focus on both theoretical and applied aspects of engineering and transport systems. Selected recent publications are listed below:

  • "A comprehensive numerical study based on topology optimization for cooling plates thermal design of battery packs," 2023, Applied Thermal Engineering
  • "Optimal Power and Energy Management Control for Hybrid Fuel Cell-Fed Shipboard DC Microgrid," 2023, IEEE Transactions on Intelligent Transportation Systems
  • "DC-Distributed Power System Modeling and Hardware-in-the-Loop (HIL) Evaluation of Fuel Cell-Powered Marine Vessel," 2021, IEEE Journal of Emerging and Selected Topics in Industrial Electronics
  • "Topological network and GIS approach to modeling earthquake risk of infrastructure systems: A case study in Japan," 2021, Applied Geography
  • "Design of a two-stage compliant asymmetric piezoelectrically actuated microgripper with parasitic motion compensation," 2023, Mechanical Systems and Signal Processing

The frequent co-authors working with Kang Tai include Wenjie Chen, Ahmed Abdelhakim, Huifeng Tan, M.W.S. Lau, and Ricky R. Chan. These collaborators have contributed to multiple studies across various engineering and technological topics.

Kang Tai's publications often appear in journals with a focus on applied engineering and technology. Venues where Kang Tai has frequently published include:

  • Energy
  • Sensors and Actuators A Physical
  • Advances in Space Research
  • SSRN Electronic Journal
  • Applied Thermal Engineering

Best Publications

  • MULTIOBJECTIVE DESIGN OPTIMIZATION BY AN EVOLUTIONARY ALGORITHM

    Tapabrata Ray;Kang Tai;Kin Chye Seow

  • Structural topology design optimization using Genetic Algorithms with a bit-array representation

    S.Y. Wang;S.Y. Wang;K. Tai;K. Tai

  • A SOCIO-BEHAVIOURAL SIMULATION MODEL FOR ENGINEERING DESIGN OPTIMIZATION

    Shamim Akhtar;Kang Tai;Tapabrata Ray

  • Comparison of statistical and machine learning methods in modelling of data with multicollinearity

    Akhil Garg;Kang Tai

  • An enhanced genetic algorithm for structural topology optimization

    Shengyin Wang;Kang Tai;Michael Yu Wang

  • State-of-the-art in empirical modelling of rapid prototyping processes

    A. Garg;K. Tai;M.M. Savalani

  • An evolutionary approach for cooling system optimization in plastic injection moulding

    Y. C. Lam;L. Y. Zhai;K. Tai;S. C. Fok

  • Design of structures and compliant mechanisms by evolutionary optimization of morphological representations of topology

    K. Tai;T. H. Chee

  • Design Synthesis of Path Generating Compliant Mechanisms by Evolutionary Optimization of Topology and Shape

    Kang Tai;Guang Yu Cui;Tapabrata Ray

  • Graph representation for structural topology optimization using genetic algorithms

    S.Y. Wang;S.Y. Wang;K. Tai;K. Tai

  • Probability Collectives: A multi-agent approach for solving combinatorial optimization problems

    Anand J. Kulkarni;K. Tai

  • An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes

    Akhil Garg;Ankit Garg;K. Tai;S. Sreedeep

  • Performance evaluation of microbial fuel cell by artificial intelligence methods

    A. Garg;V. Vijayaraghavan;S. S. Mahapatra;K. Tai

  • Radial point interpolation collocation method (RPICM) for partial differential equations

    X. Liu;G. R. Liu;K. Tai;K. Y. Lam

  • Analytical gradient-based optimization of offshore wind turbine substructures under fatigue and extreme loads

    Kok Hon Chew;Kok Hon Chew;Kang Tai;E.Y.K. Ng;Michael Muskulus

  • A multi-gene genetic programming model for estimating stress-dependent soil water retention curves

    Akhil Garg;Ankit Garg;K. Tai

  • Topology optimization of piezoelectric sensors/actuators for torsional vibration control of composite plates

    S Y Wang;K Tai;S T Quek

  • Structural topology optimization using a genetic algorithm with a morphological geometric representation scheme

    K. Tai;S. Akhtar

  • Network topological approach to modeling accident causations and characteristics: analysis of railway incidents in Japan

    Chi Yung Lam;Kang Tai

  • Review of genetic programming in modeling of machining processes

    A. Garg;K. Tai

Frequent Co-Authors

Akhil Garg
Akhil Garg Huazhong University of Science and Technology
Chee How Wong
Chee How Wong Nanyang Technological University
Ajith Abraham
Ajith Abraham Sai University
Liang Gao
Liang Gao Huazhong University of Science and Technology
Gui-Rong Liu
Gui-Rong Liu University of Cincinnati
Eddie Y. K. Ng
Eddie Y. K. Ng Nanyang Technological University
Siba Sankar Mahapatra
Siba Sankar Mahapatra National Institute of Technology Rourkela
Tapabrata Ray
Tapabrata Ray University of New South Wales
Robert L. K. Tiong
Robert L. K. Tiong Nanyang Technological University
Ning Wang
Ning Wang Dalian Maritime University

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