World's Best Scientists 2026 revealed!
Clarence W. de Silva

Clarence W. de Silva

D-Index & Metrics

Computer Science

D-Index
35
Citations
5830
World Ranking
11620
National Ranking
456

Research.com Recognitions

  • 2008 - Fellow of the Royal Society of Canada Academy of Science
  • 1994 - Fellow of the American Society of Mechanical Engineers
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Clarence W. de Silva is affiliated with the University of British Columbia in Canada and has a significant body of work spanning engineering and computer science fields. Their research primarily focuses on control and systems engineering, artificial intelligence, biomedical engineering, mechanical engineering, and computer vision and pattern recognition.

The scientist's recent publications include:

  • A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation, 2021, IEEE Transactions on Industrial Informatics
  • Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning, 2021, Reliability Engineering & System Safety
  • Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery, 2021, IEEE/ASME Transactions on Mechatronics
  • A Subvision System for Enhancing the Environmental Adaptability of the Powered Transfemoral Prosthesis, 2020, IEEE Transactions on Cybernetics
  • Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images, 2021, IEEE Transactions on Instrumentation and Measurement

The scientist's publications have appeared frequently in several outlets, including:

  • arXiv (Cornell University)
  • IEEE/ASME Transactions on Mechatronics
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Systems Man and Cybernetics Systems

Frequent collaborators include Tong Heng Lee, Kuangen Zhang, Jiahong Chen, Jing Wang, and Jun Ma.

Clarence W. de Silva's main topics of work cover:

  • Machine Fault Diagnosis Techniques
  • Robot Manipulation and Learning
  • Fault Detection and Control Systems
  • Soft Robotics and Applications
  • Domain Adaptation and Few-Shot Learning
  • Prosthetics and Rehabilitation Robotics
  • Iterative Learning Control Systems

The scientist has also contributed scholarly books published by Springer Nature, including a title on force and position control of mechatronic systems dated 2020.

Recognized by multiple professional organizations, awards include being named a Fellow of the Royal Society of Canada in 2008 under the Academy of Science and a Fellow of the American Society of Mechanical Engineers in 1994. They are also affiliated with The Canadian Academy of Engineering.

Best Publications

  • Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

    Min Xia;Teng Li;Lin Xu;Lizhi Liu

  • Intelligent Control: Fuzzy Logic Applications

    Clarence W. de Silva

  • A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation

    Min Xia;Haidong Shao;Xiandong Ma;Clarence W. de Silva

  • Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

    Min Xia;Haidong Shao;Darren Williams;Siliang Lu

  • Control sensors and actuators

    Clarence W. De Silva

  • A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks

    Min Xia;Teng Li;Tongxin Shu;Jiafu Wan

  • Modified Stacked Auto-encoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

    Haidong Shao;Min Xia;Jiafu Wan;Clarence De Silva

  • Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features.

    Kuangen Zhang;Ming Hao;Jing Wang;Clarence W. de Silva

  • Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder

    Min Xia;Teng Li;Lizhi Liu;Lin Xu

  • Soft Computing and Tools of Intelligent Systems Design: Theory and Applications

    Unknown

  • Dominant feature selection for the fault diagnosis of rotary machines using modified genetic algorithm and empirical mode decomposition

    Lei Lu;Jihong Yan;Clarence W. de Silva

  • A machine-learning approach to multi-robot coordination

    Ying Wang;Clarence W. de Silva

  • A Subvision System for Enhancing the Environmental Adaptability of the Powered Transfemoral Prosthesis

    Kuangen Zhang;Jianwen Luo;Wentao Xiao;Wen Zhang

  • Autonomous mobile robot navigation in uneven and unstructured indoor environments

    Chaoqun Wang;Lili Meng;Sizhen She;Ian M. Mitchell

  • Multi-robot Box-pushing: Single-Agent Q-Learning vs. Team Q-Learning

    Ying Wang;Clarence De Silva

  • Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing

    Min Xia;Teng Li;Yunfei Zhang;Clarence W. de Silva

  • Application of a fuzzy classification technique in computer grading of fish products

    B.-G. Hu;R.G. Gosine;L.X. Cao;C.W. de Silva

  • Backtracking regression forests for accurate camera relocalization

    Lili Meng;Jianhui Chen;Frederick Tung;James J. Little

  • An Energy-Efficient Dual Prediction Scheme Using LMS Filter and LSTM in Wireless Sensor Networks for Environment Monitoring

    Tongxin Shu;Jiahong Chen;Vijay K. Bhargava;Clarence W. de Silva

  • Efficient Autonomous Robotic Exploration With Semantic Road Map in Indoor Environments

    Chaoqun Wang;Delong Zhu;Teng Li;Max Q.-H. Meng

  • Research laboratory for fish processing automation

    Clarence W. De Silva

  • Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images

    Haidong Shao;Wei Li;Min Xia;Yu Zhang

  • A multi-scale attention neural network for sensor location selection and nonlinear structural seismic response prediction

    Teng Li;Yuxin Pan;Kaitai Tong;Carlos E. Ventura

  • Mechatronic Systems : Devices, Design, Control, Operation and Monitoring

    Clarence W. de Silva

Frequent Co-Authors

Tong Heng Lee
Tong Heng Lee National University of Singapore
Kok Kiong Tan
Kok Kiong Tan National University of Singapore
Max Q.-H. Meng
Max Q.-H. Meng Southern University of Science and Technology
James J. Little
James J. Little University of British Columbia
Haidong Shao
Haidong Shao Hunan University
Saman K. Halgamuge
Saman K. Halgamuge University of Melbourne
Leonid Sigal
Leonid Sigal University of British Columbia
Vijay K. Bhargava
Vijay K. Bhargava University of British Columbia
Sushanta K. Mitra
Sushanta K. Mitra University of Waterloo
Jiafu Wan
Jiafu Wan South China University of Technology

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