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SYDNEY POLYTECHNIC INSTITUTE

Dr Kevin Li

Dr Kevin Li

Lecturer
Joint Doctor of Philosophy (UNSW)

An experienced academic and researcher with a strong foundation in hardware engineering and advanced technological applications. Dr Li has worked on developing vital signs monitoring systems, and applying deep learning algorithms for health platform integration. His expertise also includes microwave signal processing, sensor integration, and the deployment of algorithms on cloud platforms like Amazon Web Services.

Dr Li has extensive industry experience, including leading design and feasibility analysis for solar farm projects and contributing to large-scale energy system studies. Alongside his professional industry experience, Dr Li has a strong academic background, contributing to the development of curriculum and delivering lectures at multiple universities.

COM112 Mathematics for Computing

MDS612 Big Data Infrastructure and Processing

MDS615 Cloud Computing and Application Development

Publications

  • Y. Zhang, M. Li, Z. Y. Dong and K. Meng, “Probabilistic anomaly detection approach for data-driven wind turbine condition monitoring,” in CSEE Journal of Power and Energy Systems, vol. 5, no. 2, pp.149-158, June 2019, doi:10.17775/CSEEJPES.2019.00010.

  • Meng Li, Min-Ming Tong. Quantitative analysis of moisture content in insulating oil using terahertz spectroscopy combined with PLS-R. IEEE ACCESS, October 2019

  • Meng Li, Min-Ming Tong, John E. Fletcher, Zhao-Yang Dong. A novel approach to investigate the deterioration of insulation of oils in power transformers with terahertz time-domain spectroscopy. IEEE Transactions on Dielectrics and Electrical Insulation 24(2), April 2017

  • LI Meng, ZHOU Ling-ling, TONG Min-ming, XU Jie. Research on Electrical Spark Discharge Electromagnetic Characteristic Resulting from Electric Equipment in Mine. Safety in Coal Mines 48(11): 136-139, 2017

  • Ziyuan Tong, Min-Ming Tong, Bin Liu, Meng Li. Research on Gas Emission Distribution in Coalface Based on Trend Surface Polynomial Analysis. IEEE Sensors Journal 15(1), Jan. 2015

  • Ziyuan Tong, Min-Ming Tong, Wen Meng, Meng Li. Inflammable Gas Mixture Detection with a Single Catalytic Sensor Based on the Electric Field Effect. Sensors 2014, 14(4): 6409-6418

Fields of Research

Fault Detection and Monitoring, Smart Sensor Design and Development, Smart Grid Data Analysis, IoT System Development