Clarence de Silva

Clarence de Silva

Clarence de Silva

Professor

Higher Doctorate Sc.D. (Cambridge); Ph.D. (MIT); Ph.D. (Cambridge); D.Eng. (Hon, Waterloo); D.Sc. (Hon, OUSL); B.Sc. Eng. (Hon 1, Ceylon); M.A.Sc. (Toronto), Fellow of: IEEE, ASME, ASI, CAE, & Royal Society of Canada; Distinguished Visiting Fellow of Royal Academy of Engineering; Senior Canada Research Chair in Mechatronics and Industrial Automation

phone: (604) 822-6291 (office) | (604) 822-4850 (lab) | (778) 955-7837 (cell)
fax: (604) 822-2403
email: desilva@mech.ubc.ca
website:  Industrial Automation Laboratory
office: CEME 2071

Research Interests

  • Multi-robot Systems and Applications including Homecare
  • Intelligent Systems and Automation
  • Mechatronics; Integrated and Automated Design
  • Control Sensors, Actuators and Instrumentation
  • Automated Machine Monitoring, Diagnosis, and Repair
  • Telemedicine and Health Monitoring
  • Environmental Monitoring

Current Research

  • Cooperative mobile robots for human rescue
  • Haptic teleoperation and autonomous mobile robots in homecare applications
  • Telemedicine and health monitoring
  • Intelligent sensor fusion for machine health monitoring and supervisory control
  • Instrumentation of processes for monitoring and control (sensors, actuators, etc.)
  • Formal techniques for mechatronic system design and evaluation (Mechatronic Design Quotient or MDQ; Automated design evolution, etc.)
  • Automated spatiotemporal monitoring of the quality of water sources
  • Learning and AI in machine monitoring and diagnosis
  • Diagnosis and automated repair of pipelines

Editorial

Selected Publications

Journal Papers:

  • Chen, J., Wang, J., Shu, T., and de Silva, C.W., “WSN Optimization for Sampling-based Signal Estimation Using Semi-binarized Variational Autoencoder,” Information Sciences, Vol. 587, pp. 182-205, 2022.
  • Xia, M., Shao, H., Li, W., Zhang, Y., Shen, C., Williams, D., Kennedy, A., and de Silva, C.W., “Fault diagnosis of a rotor-bearing system under variable rotating speeds using two-stage parameter transfer and infrared thermal images,” IEEE Transactions on Instrumentation & Measurement, 2021 (Accepted).
  • Chen, J., Wang, J., and de Silva, C.W., “Mutual Variational Inference: An Indirect Variational Inference Approach for Unsupervised Domain Adaptation,” IEEE Transactions on Cybernetics, 2021 (Accepted).
  • Wang, W., Ma, J., Cheng, Z., Li, X., de Silva, C.W., and Lee, T.H., “Global Iterative Sliding Mode Control of an Industrial Biaxial Gantry System for Contouring Motion,” IEEE/ASME Transactions on Mechatronics, 2021 (Accepted).
  • Wang, J., Chen, J., Lin, J., Sigal, L., and de Silva, C.W., “Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment,” Pattern Recognition, Vol. 116, pp. 1-14, 107943, August 2021.
  • Gunawardane, P.D.S.H., MacNeil, P.R., Zhao, L., Enns, T., de Silva, C.W., and Chiao, M., “A Fusion Algorithm for Saccade Eye Movement Enhancement with EOG and Lumped-element Models,” IEEE Transactions on Biomedical Engineering, 2021 (Accepted).
  • Li, T., Wang, C., Meng, M.Q.H., and de Silva, C.W., “Attention-driven Active Sensing with Hybrid Neural Network for Environmental Field Mapping,” IEEE Transactions on Automation Science and Engineering, 2021 (Accepted).
  • Ma, J., Cheng, Z., Wang, W., Li, X., Zhu, H., de Silva, C.W., and Lee, T.H., “Convex Inner Approximation for Mixed H2/H1 Control with Application to a 2-DoF Flexure-Based Nano-Positioning System,” IEEE Transactions on Industrial Electronics, 2021 (Accepted).
  • Abid, A., Khan, M.T., Iqbal, J., and de Silva, C.W., “Immunity Inspired Hybrid Fault Diagnosis and Conflict Resolution,” IEEE/ASME Transactions on Mechatronics, 2021 (Accepted).
  • Li, T., Pan, Y., Tong, K., Ventura, C.E., and de Silva, C.W., “A Multi-Scale Attention Neural Network for Sensor Location Selection and Nonlinear Structural Seismic Response Prediction,” Journal of Computers and Structures, 2021 (Accepted).
  •  Zhang, K., Liu, H., Fan, Z., Chen, X., Leng, Y., de Silva, C.W., and Fu, C., “Foot Placement Prediction for Assistive Walking by Fusing Sequential 3D Gaze and Environmental Context,” The IEEE Robotics and Automation Letters, 2021 (Accepted).
  • Li, T., Pan, Y., Tong, K., Ventura, C.E., and de Silva, C.W., “Attention-based Sequence-to-sequence Learning for Online Structural Response Forecasting under Seismic Excitation,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021 (Accepted)
  • Xia, M., Shao, H., Ma, X., and de Silva, C.W., “A Stacked GRU-RNN-based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation,” IEEE Transactions on Industrial Informatics, 2021 (Accepted).
  • Shao, H., Xia, M., Wan, J., and de Silva, C.W., “Modified Stacked Auto-encoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery,” IEEE/ASME Transactions on Mechatronics, 2021 (Accepted).
  • Chen, J., Wang, J., Zhu, J., Lee, T.H., and de Silva, C.W., “Unsupervised Cross-domain Fault Diagnosis Using Feature Representation Alignment Networks for Rotating Machinery,” IEEE/ASME Transactions on Mechatronics, 2020 (Accepted).
  • Khoshnoud, F., Lamata, L., de Silva, C.W., and Quadrelli, M.B., “Quantum Teleportation for Control of Dynamic Systems and Autonomy,” Mechatronic Systems and Control Journal, 2021 (In Press).
  • Lamata, L., Quadrelli, M.B., de Silva, C.W., Kumar, P., Kanter, G.S.,Ghazinejad, M., and Khoshnoud, F., “Quantum Mechatronics,” Electronics Journal, Vol. 10, pp. 2483-2491, October 2021. https://doi.org/10.3390/electronics10202483
  • De Silva, C.W., “Intelligent Robotics—Misconceptions, Current Trends and Opportunities,” Intelligence & Robotics, Vol. 1, No. 2, pp. 2-15, 2021.
  •  De Silva, C.W., “Mechatronic Modeling and Domain Transformation of Multi-physics Systems,” Instrumentation, Vol. 8, No. 1, pp. 14-28, 2021.
  • Falch, L. and de Silva, C.W., “Incorporating the Qualitative Variable Comfort into the Design of a Wearable Body Sensor System,” IEEE/ASME Transactions on Mechatronics, Vol. 26, No. 1, pp. 124-133, February 2021.
  • Chen, J, Li, T., Shu, T., Wang, J., and de Silva, C.W., “Optimization of Wireless Sensor Network Deployment for Spatiotemporal Reconstruction and Prediction,” IEEE Sensors Journal, Vol. 20, No. 23, pp. 14290-14301, 2020.
  • De Silva, C.W., “A Systematic Approach for Modelling Multi-physics Systems,” International Journal of Mechanical Engineering Education, Vol. 49, No. 2, pp. 122–150, 2021.
  • Chen, J., Shu, T., Li, T., and de Silva, C.W., “Deep Reinforced Learning Tree for Spatiotemporal Monitoring With Mobile Robotic Wireless Sensor Networks,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 50, No. 11, pp. 4197-4211, November 2020.
  • Li, T., Tong, K., Xia, M., Li, B., and de Silva, C.W., “Information-based Hierarchical Planning for a Mobile Sensing Network in Environmental Mapping,” IEEE Systems Journal, Vol. 14, No, 2, pp. 1692 – 1703, September 2020.
  • Gadala, I.M., Li, B., Meng, M.Q.H., and de Silva, C.W., “An Expert System for Motor Sizing Using Mechanical Dynamics and Thermal Characterization,” Mechatronic Systems and Control Journal, Vol. 48, No. 1, 2020.
  • De Silva, C.W., “Concepts for Sensor Matching in Mechatronic Systems,” Instrumentation Journal, Vol. 7, No. 3, pp. 01-14, 2020.
  • Zhang, K., Wang, J., de Silva, C.W., and Fu, C., “Unsupervised Cross-subject Adaptation for Predicting Human Locomotion Intent,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28, No. 3, pp. 646–657, March 2020.
  • Khoshnoud, F., Esat, I.I., de Silva, C.W., Rhodes, J.D., Kiessling, A.A., and Quadrelli, M.B., “Self-powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs,’ Unmanned Systems, Vol. 8, No. 2, pp. 95-117, 2020.
  • Zhang, K., Luo, J., Xiao, W., Zhang, W., Liu, H., Zhu, J., Lu, Z., Rong, Y., de Silva, C.W., and Fu, C., “A Subvision System for Enhancing the Environmental Adaptability of the Powered Transfemoral Prosthesis,” IEEE Transactions on Cybernetics, pp. 1–13, 2020.

Books:

  • Lee, T.H., Liang, W., de Silva, C.W., and Tan, K.K., Force and Position Control of Mechatronic Systems—Design and Applications in Medical Devices, Springer, Gewerbestrasse, Switzerland, 2020. (225 pages)
  • De Silva, C.W., MODELING OF DYNAMIC SYSTEMS—With Engineering Applications, Taylor & Francis/CRC Press, Boca Raton, FL, 2018. (690 pages).
  • *De Silva, C.W., SENSOR SYSTEMS—Fundamentals and Applications, Taylor & Francis/CRC Press, Boca Raton, FL, 2016. (745 pages).
  • *De Silva, C.W., SENSORS AND ACTUATORS—Engineering System Instrumentation, 2nd Edition, Taylor & Francis/CRC Press, Boca Raton, FL, 2016. (838 pages).
  • *De Silva, C.W., Mechanics of Materials, Taylor & Francis/CRC Press, Boca Raton, FL, 2014. (448 pages).
  • *De Silva, C.W., Mechatronics—A Foundation Course, Taylor & Francis/CRC Press, Boca Raton, FL, 2010. (895 pages).
  • *De Silva, C.W., Modeling and Control of Engineering Systems, Taylor & Francis/CRC Press, Boca Raton, FL, 2009. (795 pages). Chinese Translation by Bin Xi, Publisher Higher Education Press, 2016.
  • *De Silva, C.W., SENSORS AND ACTUATORS—Control System Instrumentation, Taylor and Francis, CRC Press, Boca Raton, FL, 2007. (691 pages).
  • *De Silva, C.W., Vibration Fundamentals and Practice, 2nd Edition, Taylor and Francis, CRC Press, Boca Raton, FL, 2007. (1062 pages).
  • *De Silva, C.W., Mechatronics—An Integrated Approach, CRC Press, Taylor & Francis, Boca Raton, FL, 2005. (1344 pages).
  • *Karray, F. and de Silva, C.W., Soft Computing and Intelligent Systems Design—Theory, Tools, and Applications, Addison Wesley, New York, NY, 2004. (585 pages).

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