World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
48
Citations
10844
World Ranking
4502
National Ranking
1292

Overview

T. Warren Liao is affiliated with Louisiana State University in the United States. Their research primarily spans the field of Engineering with a particular focus on Industrial and Manufacturing Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Management Science and Operations Research, as well as Statistics, Probability and Uncertainty.

The main topics addressed in their work include:

  • Advanced Manufacturing and Logistics Optimization
  • Advanced Machining Processes and Optimization
  • Scheduling and Optimization Algorithms
  • Assembly Line Balancing Optimization
  • Optimization and Packing Problems
  • Multi-Criteria Decision Making
  • Digital Transformation in Industry

Liao's recent publications demonstrate engagement with optimization algorithms and manufacturing processes, highlighting developments in materials design and predictive modeling. Selected recent papers include:

  • Metaheuristic-based inverse design of materials - A survey (2020), Journal of Materiomics
  • Developing a Reliability Model of CNC System under Limited Sample Data Based on Multisource Information Fusion (2020), Mathematical Problems in Engineering
  • Multitask Scheduling in Consideration of Fuzzy Uncertainty of Multiple Criteria in Service-Oriented Manufacturing (2020), IEEE Transactions on Fuzzy Systems
  • Prediction using multi-objective slime mould algorithm optimized support vector regression model (2023), Applied Soft Computing
  • Improving milling tool wear prediction through a hybrid NCA-SMA-GRU deep learning model (2024), Expert Systems with Applications

The venues where Liao has published more than once reveal consistent contributions to both established and emerging outlets. These venues include:

  • arXiv (Cornell University)
  • Systems and Soft Computing
  • Advanced Engineering Informatics
  • IEEE Transactions on Intelligent Transportation Systems
  • The International Journal of Advanced Manufacturing Technology

Throughout their career, Liao has collaborated frequently with researchers such as Chong Peng, Hongyi Zhou, Yuzhen Cai, Zhongyuan Che, and Zhongwen Zhang. These collaborations appear in a range of publications focusing on manufacturing systems, material design, and scheduling algorithms.

Best Publications

  • Clustering of time series data-a survey

    T. Warren Liao

  • Automatic identification of different types of welding defects in radiographic images

    Gang Wang;T.Warren Liao

  • SIMILARITY MEASURES FOR RETRIEVAL IN CASE-BASED REASONING SYSTEMS

    T. Warren Liao;Zhiming Zhang;Claude R. Mount

  • Two hybrid differential evolution algorithms for engineering design optimization

    T. Warren Liao

  • A new age-based replenishment policy for supply chain inventory optimization of highly perishable products

    Qinglin Duan;T. Warren Liao

  • CLPS-GA: A case library and Pareto solution-based hybrid genetic algorithm for energy-aware cloud service scheduling

    Fei Tao;Ying Feng;Lin Zhang;T.W. Liao

  • Surface/subsurface damage and the fracture strength of ground ceramics

    Kun Li;T Warren Liao

  • Optimization of blood supply chain with shortened shelf lives and ABO compatibility

    Qinglin Duan;T. Warren Liao

  • An automated radiographic NDT system for weld inspection: Part II—Flaw detection

    T.Warren Liao;Yueming Li

  • Medical data mining by fuzzy modeling with selected features

    Unknown

  • Metaheuristics for project and construction management – A state-of-the-art review

    T. Warren Liao;P.J. Egbelu;B.R. Sarker;S.S. Leu

  • Prediction of tensile strength of friction stir weld joints with adaptive neuro-fuzzy inference system (ANFIS) and neural network

    Mohammad W. Dewan;Daniel J. Huggett;T. Warren Liao;Muhammad A. Wahab

  • A wavelet-based methodology for grinding wheel condition monitoring

    T. Warren Liao;Chi-Fen Ting;J. Qu;P.J. Blau

  • Simultaneous dock assignment and sequencing of inbound trucks under a fixed outbound truck schedule in multi-door cross docking operations

    T.W. Liao;P.J. Egbelu;P.C. Chang

  • A fuzzy multicriteria decision-making method for material selection

    T.Warren Liao

  • Combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory

    P. C. Chang;T. W. Liao

  • An automated radiographic NDT system for weld inspection: Part I — Weld extraction

    T.Warren Liao;Jiawei Ni

  • Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoring

    T. Warren Liao

  • A neural network approach for grinding processes: Modelling and optimization

    T. Warren Liao;L.J. Chen

  • Classification of welding flaw types with fuzzy expert systems

    Unknown

  • Evolving fuzzy rules for due-date assignment problem in semiconductor manufacturing factory

    Pei-Chann Chang;Jih-Chang Hieh;T. Warren Liao

  • BGM-BLA: A New Algorithm for Dynamic Migration of Virtual Machines in Cloud Computing

    Fei Tao;Chen Li;T. Warren Liao;Yuanjun Laili

  • Two hybrid differential evolution algorithms for optimal inbound and outbound truck sequencing in cross docking operations

    T. W. Liao;P. J. Egbelu;P. C. Chang

Frequent Co-Authors

Pei-Chann Chang
Pei-Chann Chang Yuan Ze University
Peter J. Blau
Peter J. Blau Oak Ridge National Laboratory
Jun Qu
Jun Qu Oak Ridge National Laboratory
Fei Tao
Fei Tao Beihang University
Bhaba R. Sarker
Bhaba R. Sarker Louisiana State University
Guoqiang Li
Guoqiang Li Louisiana State University
Wentong Cai
Wentong Cai Nanyang Technological University
Lin Zhang
Lin Zhang Beihang University

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