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
  • Process Automation
  • Mechatronics; Integrated and Automated Design
  • Control Sensors and Actuators
  • Automated Machine Monitoring, Diagnosis, and Repair using Learning and AI
  • Telemedicine and Medical Monitoring
  • Environmental Monitoring

Current Research

  • Cooperative mobile robots for human rescue
  • Haptic teleoperation and autonomous mobile robots in homecare applications
  • Telehealth, telemedicine, IMAGINE, and sleep 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., 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, 2020 (Accepted).
  • 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, 2020 (In Press).
  • Wang, C., Shu, D., Li, T., Meng, M.Q.H., and de Silva, C.W., “Efficient Autonomous Robotic Exploration with Semantic Road Map in Indoor Environments,” IEEE Robotics and Automation Letters, 2020 (Accepted).
  • 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, 2020. arXiv:1910.12974v1 (In Press).
  • 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.
  • 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.
  • 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.
  • 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.
  • Wang, L., de Silva, C.W., and Li, B., “Design of an Automated Sorting System for Apples Based on Single Chip Microcomputer,” Instrumentation Journal, Vol. 6, No. 4, pp. 95-108, 2019.
  • Li, A., Ye, D., de Silva, C.W., and Meng, M.Q.H., “Convolution Neural Network-based Leakage Detection of Fuel Oil Transmission Pipes,” Instrumentation Journal, Vol. 6, No. 4, pp. 85-94, 2019.
  • De Silva, C.W., “Minimal Realization of Linear Graph Models for Multi-physics Systems,” Instrumentation Journal, Vol. 6, No. 4, pp. 72-84, 2019.
  • Cai, Y., de Silva, C.W., and Li, B., “Application of Feature Extraction through Convolution Neural Networks and SVM Classifier for Robust Grading of Apples,” Instrumentation Journal, Vo. 6, No. 4, pp. 59-71, 2019.
  • Wang, Z., Li, B., and de Silva, C.W., “Use of Fuzzy Neural Network in Industrial Sorting of Apples,” Instrumentation Journal, Vo.6, No. 4, pp. 37-46, 2019.
  • Wang, Y., Zhang, Y., Gao, S., and de Silva, C.W., “Robust Impedance Control of Robots Using an Adaptive Interaction Force Observer,” Instrumentation Journal, Vol. 6, No. 4, pp. 2-13, 2019.
  • Zhang, Y., Wang, Y., Lang, H., Wang, Y., and de Silva, C.W., “Visual Avoidance of Collision with Randomly Moving Obstacles through Approximate Reinforcement Learning,” Instrumentation Journal, Vol, 6, No, 3, pp. 59-66, 2019.
  • Ranaweera, J., Ranaweera, S., and de Silva, C.W., “Evaluation and Enhanced Use of Light Emitting Diodes for Hydroponics,” Instrumentation Journal, Vol, 6, No, 3, pp. 18-27, 2019.
  • Wang, Y., Zhang, Y., Gao, S., and de Silva, C.W., “Robot Interaction Force Estimation Using an Adaptive Sliding Mode Observer,” Instrumentation Journal, Vol. 6, No. 2, pp. 8-20, 2019.
  • Premasiri, S., Gamage, L.B., and de Silva, C.W., “An improved Machine Learning Approach to Classify Sleep Stages and Apnea Events,” Instrumentation Journal, Vol. 6, No. 2, pp. 30-40, 2019.
  • Cai, K., Wang, C., Cheng, J., Song, S., de Silva, C.W., and Meng, M.Q.H., “Mobile Robot Path Planning in Dynamic Environments: A Survey,” Instrumentation Journal, Vol. 6, No. 2, pp. 90-100, 2019.
  • Xia, M. and de Silva, C.W., “Gear Transmission Fault Classification using Deep Neural Networks and Classifier Level Sensor Fusion,” Instrumentation Journal, Vol. 6, No. 2, pp. 101-109, 2019.
  • De Silva, C.W., “A Systematic Approach for Modelling Multi-physics Systems,” International Journal of Mechanical Engineering Education, Vol. 1, No. 1, pp. 1-29, 2019. https://doi.org/10.1177/0306419019868801.
  • Khoshnoud, F., Esat, I.I., de Silva, C.W., and Quadrelli, M.B., “Quantum Network of Cooperative Unmanned Autonomous Systems,” Unmanned Systems Journal, Vol. 07, No. 02, pp. 137-145, 2019.
  • Shu, T., Chen, J., Bhargava, V., and de Silva, C.W., “An Energy-Efficient Dual Prediction Scheme Using LMS filter and LSTM in Wireless Sensor Networks for Environment Monitoring,” IEEE Internet of Things Journal, Vol. 6, No. 4, pp. 6736-6747, 2019.
  • Abid, A., Khan, M.T., de Silva, C.W. and Lang, H., “Adaptive System Identification and Severity Index-based Fault Diagnosis in Motors,” IEEE/ASME Transactions on Mechatronics, Vol. 24, No. 4, pp. 1628-1639, 2019.
  • Xia, M., Li, T., Shu, T., Wan, J., de Silva, C.W., and Wang, Z., “A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks,” IEEE Transactions on Industrial Informatics, Vol. 15, No. 6, pp. 3703-3711, 2019.
  • De Silva, C.W., “A Systematic Approach for Instrumentation of a Mechatronic System,” Instrumentation Journal, Vol. 6, No. 1, pp. 116-136, 2019.
  • Zhang, K., Zhang, W., Xiao, W., Liu, H., de Silva, C.W., and Fu, C., “Sequential Decision Fusion for Environmental Classification in Assistive Walking,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 27, No. 9, pp. 1780–1790, Sep. 2019.

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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