Localizing regional scale groundwater big data using machine learning (GWD WCape)
About this event
Following the Talk by Helen Seyler, hosted by the Western Cape Branch on 28 January 2021, Zaheed will further extrapolate on the research into the applicability of machine learning for the forward prediction of groundwater levels and flow regime using results from the dolomite aquifers in South Africa, particularly the Romotswa/North West and Gauteng Dolomites. The research supports a larger programme researching the use of big data analytics for water secure transboundary systems.
Geohydrological expert with a background in geology, hydrology and environmental sciences. Now focused mostly on data science and its role in the Earth sciences domain. My current role is with IBM Research Africa, were I work as a Research Scientist in AI and Machine Learning applications. I am affiliated with L2K2 Consultants, in Cape Town, were I act as a consulting hydrogeologist. Furthermore, I am also pursuing a PhD degree in the Department of Earth Sciences, at the University of the Western Cape, were my research focuses on Big Data analytics and its application in groundwater sciences.