I received a Bachelor of Science (BSc) and Master of Science (MSc) in Chemical Engineering, which focused on water usage evaluation and water footprinting methods in the platinum mining and refinery sector from the University of the Witwatersrand, South Africa.
I received my MSc in Electrical and Information Engineering cum laude (with distinction) from the University of the Witwatersrand. My MSc research applied deep learning for the development of a predictive water quality algorithm of specific rivers. The Long Short-Term Memory Network (LSTM), a specialized deep neural network specific to time-sequenced data was used to develop the algorithm. The algorithm was able to successfully predict the water quality of the rivers a couple of time steps ahead. The findings were published in an academic article:
Long Short Term Memory Water Quality Predictive Model Discrepancy Mitigation Through Genetic Algorithm Optimisation and Ensemble Modeling. I received the Council for Scientific and Industrial Research- Department of Science and Innovation (CSIR- DSI) Bursary for my MSc research.
"I believe that South Africa is at a delicate phase of development, where strides in digitalisation are coupled with growth in water-consuming sectors, such as agriculture. African development should not mimic development in the West, which was unsustainable in terms of water. South Africa has the potential to sustainably leapfrog into Industry 4.0 by adapting efficient and cheaper digital solutions for water conservation. Investing in and understanding our country's environment is an investment in ourselves and a technologically advanced South Africa."I am currently a Ph.D. researcher at the University of the Witwatersrand, where my research focuses on deep learning, smart grids, green energy and water conservation. My other research interests include the use of carbon nanotubes for carbon dioxide adsorption, as a medium for lowering carbon dioxide emissions.
My research publications can be found on
ResearchGate and
LinkedIn.