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Staff Profile

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Dr. Tay Fei Siang

Senior Lecturer, Engineering (Robotics and Mechatronics)
BEng (Hons)(Monash, Aust) PhD (SUT) IEEE

Faculty of Engineering, Computing and Science

Office No:+60 82 260 851
Fax No:+60 82 260 813
Room No: E315, Building E
Email: fstay@swinburne.edu.my
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Biography

Fei Siang Tay received his BEng (Hons) degree in Electrical and Computer Systems Engineering from Monash University, Malaysia, in 2008, and the PhD degree from the Swinburne University of Technology, Australia, in 2013. His research interests are in the areas of intelligent control systems, smart farming, rural connectivity, dynamical fuzzy modeling of complex system, nonlinear system & control, robotics and dynamical modelling.

Since 2009, he has been the tutor & lab supervisor for more than 5 undergraduate/postgraduate courses at Swinburne University of Technology. The courses he has been involved are Robot System Design, Control & Automation, Robotic Control and Advance Mechatronics.

Dr Tay has served as portfolio director (Student affairs) for Graduate and student (G&S) Section of the Institute of Engineers, Malaysia since 2016. He provides support for students and drive student learning outside of the classroom which promoting more young engineering students to involve professional engineering activities in Sarawak. He has been actively involved in IEEE Sarawak Subsection Humanitarian Technology Activities (IEEE Sarawak Subsection).

Research Interests

  • Nonlinear control;
  • Machine Intelligence
  • Rural Connectivity

Professional Memberships

  • Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Graduate Member, Institute of Engineers Malaysia (IEM)
  • Graduate Member, Board of Engineers Malaysia (BEM)

Current RHD Supervision

NameDegreeArea of ResearchStart yearRole
Natalie Lim Chen YiMEngRural Connectivity2019Co-supervisor

  • Publications

Publications

  • Journal paper Tan, W. Y., Then, Y. L., Lew, Y. L., and Tay, F. S. (2019). Newly Calibrated Analytical Models for Soil Moisture Content and pH Value by Low-Cost YL-69 Hygrometer Sensor. Measurement. 134, 166 – 178.
  • Journal paper Tay, F. S., Kashem, S. B., Walter Chong, C. Y. (2017). Automated Miniature Greenhouse. Advanced Science Letters, 23(6), 5309 – 5313
  • Journal paper Tuan, D. M., Man, Z., Zhang, C., Wang. H., and Tay, F. S. (2014). Robust sliding mode learning control for steer-by-wire systems. IEEE Transactions on Vehicular Technology, 63, 580-590
  • Journal paper Tay, F. S., Man, Z., Cao Z., Khoo, S., and Tan, C. P. (2012). Sliding mode-like learning control for SISO complex systems with T–S fuzzy models. International Journal of Modelling, Identification & Control, 16(4), 317-326
  • Conference paper Bathilde , J. B., Then, Y. L., Chameera, R., Tay F. S. and Zaidel D. N. A. (2018). Continuous heart rate monitoring system as an IoT edge device. 2018 IEEE Sensors Applications Symposium (SAS), Seoul, 1-6.
  • Conference paper Michelle Gian, K. S., Then Y. L., Tay F. S., Ahmed, J. and Vithanawasam, C. K. (2018). A Game-Based Approach for Hemiplegia Lower Limb Rehabilitation, 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS), Kuching, 103-108
  • Conference paper Tay, F. S., Man, Z., and Cao, Z (2011). Sliding mode learning control for SISO complex systems with T-S fuzzy models. The 37th IEEE Conference on Industrial Electronics Society, IECON 2011, 751-756.
  • Conference paper Tay. F. S., Man, Z., Cao, Z., Jin, J., and Khoo, S. Y. (2012). A robust learning control for SISO nonlinear systems with T-S fuzzy model. The 12th IEEE Conference on Control, Automation, Robotics &Vision, ICARCV 2012, 492-497.
  • Conference paper Tay, F. S., Man, Z., Jin, J., Khoo, S., Zheng, J., and Wang, H. (2013). Sliding mode-based learning control for interconnected systems. The 8th IEEE Conference on Industrial Electronics and Applications, ICIEA 2013, 816-821.
  • Conference paper Zheng. J., Tay, F. S., Lu, R., Gao, Ji. and Zhao. X. (2014). Robust sliding mode control design for a dual-stage actuator system. Modelling, Identification & Control (ICMIC), 2014 Proceedings of the 6th International Conference, 70-75.
  • Conference paper Tay, F. S., Man, Z., Cao Z., Khoo, S., and Tan, C. P. (2012). Sliding mode-like learning control for SISO complex systems with T–S fuzzy models. International Journal of Modelling, Identification & Control, 16(4), 317-326