
Biography :
Mfanasibili Stanley Nkonyane received the Bachelor of Technology and Master of Engineering degrees in Electrical Engineering from the Durban University of Technology and is currently pursuing the Ph.D. degree at the University of KwaZulu-Natal. He is the Executive: Assets and Operations at Dube TradePort Corporation. He serves on IEEE Standards Committees, the SABS Power Electronics Committee, and is a Senior Member of the South African Institute of Electrical Engineers (SAIEE). He co-authored Data-Driven Machine Learning Models for E. coli Concentration Prediction and Designing a New Artificial Neural Network for Harmful Algal Blooms Prediction: A Case Study of Midmar Dam. His research interests include artificial intelligence, machine learning, Industrial IoT, digital twins, and intelligent water