Engineering Sciences, Intelligent Systems, Electrical Engineering
Prof Wesley Doorsamy obtained his BSc. in Electrical Engineering, MSc in Engineering and his PhD from the University of Witwatersrand. He also completed the postgraduate diploma in education (with distinction) the University of Witwatersrand, and the graduate diploma in Data Science from the University of London. He has a background in electrical engineering and data science, with his research focuses on condition monitoring and diagnostics, computational intelligence, analytics and optimization in different application areas including, inter alia, healthcare, power and energy, finance, and manufacturing sectors. He was previously awarded the National Research Foundation (NRF) Freestanding and Scarce Skills scholarships. Currently, Prof Doorsamy is an Associate Professor at the Institute for Intelligent Systems, University of Johannesburg; he is an NRF-rated researcher; and he is a full member of the Institute for Electrical and Electronics Engineer (IEEE), a Senior Member of the South African Institute of Electrical Engineers (SAIEE), and an affiliate of the African Academy of Sciences (AAS).
Doorsamy, W., Abdallh, A.A.E., Cronje, W.A. and Dupré, L., 2014. An experimental design for static eccentricity detection in synchronous machines using a Cramér–Rao lower bound technique. IEEE Transactions on Energy Conversion, 30(1), pp.254-261.
Bokoro, P. and Doorsamy, W., 2018. Reliability analysis of low-voltage metal-oxide surge arresters using accelerated failure time model. IEEE Transactions on Power Delivery, 33(6), pp.3139-3146.
Swana, E. and Doorsamy, W., 2021. An Unsupervised Learning Approach to Condition Assessment on a Wound-Rotor Induction Generator. Energies, 14(3), p.602.