World's Best Scientists 2026 revealed!

Overview

A.C. Liew is affiliated with the National University of Singapore in Singapore, with a research focus primarily in the field of Engineering. Their work covers several subfields, including Civil and Structural Engineering, Building and Construction, Mechanical Engineering, Control and Systems Engineering, and Earth-Surface Processes.

The research conducted by Liew spans several main topics, featuring Masonry and Concrete Structural Analysis, Innovations in Concrete and Construction Materials, Structural Health Monitoring Techniques, Civil and Structural Engineering Research, Structural Analysis and Optimization, Building Materials and Conservation, and Topology Optimization in Engineering.

Recent publications by A.C. Liew include the following papers:

  • Structural design, digital fabrication and construction of the cable-net and knitted formwork of the KnitCandela concrete shell, 2020, Structures
  • Structural engineering from an inverse problems perspective, 2022, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • Analysis and optimisation of a rib-stiffened vaulted floor for dynamic performance, 2020, Engineering Structures
  • Constrained Force Density Method optimisation for compression-only shell structures, 2020, Structures
  • Designing bending-active gridshells as falsework for concrete shells through numerical optimization, 2021, Engineering Structures

A.C. Liew frequently publishes in the following venues:

  • Structures
  • Engineering Structures
  • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • 12th International Conference on Structural Analysis of Historical Constructions
  • International Journal of Architectural Heritage

The scientist has collaborated regularly with several coauthors. Frequent collaborators include:

  • Matthew Gilbert
  • Philippe Block
  • Iman Hajirasouliha
  • Adrien Gallet
  • Danny Smyl

Best Publications

  • An adaptive linear combiner for on-line tracking of power system harmonics

    P.K. Dash;D.P. Swain;A.C. Liew;S. Rahman

  • Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting

    Dipti Srinivasan;C.S. Chang;A.C. Liew

  • Classification of power system disturbances using a fuzzy expert system and a Fourier linear combiner

    P.K. Dash;S. Mishra;M.A. Salama;A.C. Liew

  • Adaptive relay setting for flexible AC transmission systems (FACTS)

    P.K. Dash;A.K. Pradhan;G. Panda;A.C. Liew

  • Extension of dynamic model of impulse behavior of concentrated grounds at high currents

    Junping Wang;A.C. Liew;M. Darveniza

  • An adaptive neural network approach for the estimation of power system frequency

    P.K. Dash;D.P. Swain;A. Routray;A.C. Liew

  • A neural network short-term load forecaster

    Dipti Srinivasan;A.C. Liew;C.S. Chang

  • Forecasting daily load curves using a hybrid fuzzy-neural approach

    D. Srinivasan;A.C. Liew;C.S. Chang

  • Harmonic estimation in a power system using adaptive perceptrons

    P.K. Dash;D.P. Swain;A. Routray;A.C. Liew

  • Fault impedance estimation algorithm for digital distance relaying

    D.L. Waikar;S. Elangovan;A.C. Liew

  • A real-time short-term load forecasting system using functional link network

    P.K. Dash;H.P. Satpathy;A.C. Liew;S. Rahman

  • Multiobjective generation scheduling using fuzzy optimal search technique

    D. Srinivasan;C.S. Chang;A.C. Liew

  • Fuzzy logic approach in power system fault section identification

    C.S. Chang;J.M. Chen;D. Srinivasan;F.S. Wen

  • High-performance controllers for HVDC transmission links

    P.K. Dash;A.C. Liew;A. Routray

  • Fuzzy neural network and fuzzy expert system for load forecasting

    P.K. Dash;A.C. Liew;S. Rahman

  • A new approach to monitoring electric power quality

    P.K. Dash;S.K Panda;A.C. Liew;B. Mishra

  • Fuzzy neural networks for time-series forecasting of electric load

    P.K. Dash;G. Ramakrishna;A.C. Liew;S. Rahman

  • Peak load forecasting using a fuzzy neural network

    P.K. Dash;A.C. Liew;S. Rahman

  • Circuit Modeling of Nonlinear Lumped Element Transmission Lines Including Hybrid Lines

    Ngee Siang Kuek;Ah Choy Liew;E. Schamiloglu;J. O. Rossi

  • Applications of fuzzy systems in power systems

    Dipti Srinivasan;A.C. Liew;C.S. Chang

Frequent Co-Authors

P.K. Dash
P.K. Dash Siksha O Anusandhan University
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Saifur Rahman
Saifur Rahman Virginia Tech
Sanjib Kumar Panda
Sanjib Kumar Panda National University of Singapore
Magdy M. A. Salama
Magdy M. A. Salama University of Waterloo
Ganapati Panda
Ganapati Panda C. V. Raman Global University
Ashok Kumar Pradhan
Ashok Kumar Pradhan Indian Institute of Technology Kharagpur
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi
Jian-Xin Xu
Jian-Xin Xu National University of Singapore
Fushuan Wen
Fushuan Wen Zhejiang University

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