Dr Sage Ngoie
Biographie
Sage Ngoie was born in Kolwezi on 5 May 1985. He received his secondary education in Kolwezi, where he matriculated at the Institute Ukweli in
2004. He obtained a degree in Geology in 2007, and a Master’s Degree in Geotechnical and Hydrogeological Sciences in 2009, both from the University
of Lubumbashi in the Democratic Republic of the Congo. He started his career as a junior lecturer at the University of Lubumbashi in 2009, and one
year later he was hired to work as a hydrogeological engineer in Kolwezi for an affiliate company of Glencore. In 2012, he joined Tenke Fungurume
Mining, an affiliate company of Freeport McMoran, as a hydrogeological engineer and groundwater modeller. He currently teaches at the University
of Kolwezi. He holds a PhD in Geohydrology from the University of the Free State where he specialized in Artificial Intelligence and Mathematical modeling.
With his thesis, DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK FOR MINE DEWATERING , He makes a significant
contribution to the field of geohydrology. His research shows that neural networks can be successfully applied to predict aquifer responses
during mine dewatering operations in the absence of comprehensive geohydrological datasets. The value of this research lies in the fact that many
African mines operate in data-scarce environments where conventional methods of modelling the groundwater response are faring poorly.
2004. He obtained a degree in Geology in 2007, and a Master’s Degree in Geotechnical and Hydrogeological Sciences in 2009, both from the University
of Lubumbashi in the Democratic Republic of the Congo. He started his career as a junior lecturer at the University of Lubumbashi in 2009, and one
year later he was hired to work as a hydrogeological engineer in Kolwezi for an affiliate company of Glencore. In 2012, he joined Tenke Fungurume
Mining, an affiliate company of Freeport McMoran, as a hydrogeological engineer and groundwater modeller. He currently teaches at the University
of Kolwezi. He holds a PhD in Geohydrology from the University of the Free State where he specialized in Artificial Intelligence and Mathematical modeling.
With his thesis, DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK FOR MINE DEWATERING , He makes a significant
contribution to the field of geohydrology. His research shows that neural networks can be successfully applied to predict aquifer responses
during mine dewatering operations in the absence of comprehensive geohydrological datasets. The value of this research lies in the fact that many
African mines operate in data-scarce environments where conventional methods of modelling the groundwater response are faring poorly.
A propos de moi
Sage Ngoie was born in Dem. Rep. of Congo. He holds a PhD in Geohydrology from the University of the Free State in South Africa where he specialized in Artificial intelligence and mathematical modeling applied to GW.
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