Studied as a Computer Scientist in Artificial Intelligence and Complex Adaptive Systems. Working as a Professor in Machine Learning at the University of Johannesburg. Currently, hold the Nedbank research and innovation chair. Also an NVIDIA Certified Ambasador.
Education
2006 - 2010
PhD in Computer Science
University of Johannesburg
2003 - 2005
MSc in Computer Science, (Cum Laude)
University of Johannesburg
2002 - 2002
BSc Honours in Computer Science (Cum Laude)
Rand Afrikaans University
1999 - 2001
BSc in Information Technology
Rand Afrikaans University
Professional Experience
2020 - pres.
Professor, Nedbank Research Chair
University of Johannesburg, Institute for Intelligent Systems
2016 - 2020.
Associate Professor
University of the Witwatersrand, School of Computer Science and Applied Mathematics
2007 - 2015.
Principal Data Scientist
Council for Scientific and Industrial Research, Meraka
2005 - 2007.
Team Leader/Systems Architect Business Development
Altech Netstar
2005 - 2005.
Contract Senior Business Developer
Independent Electoral Commission / Motwseni JMR
BIO
Terence van Zyl holds the Nedbank Research and Innovation Chair at the University of Johannesburg where he is a Professor in the Institute for Intelligent Systems. He is an NRF rated scientist who received his PhD and MSc in Computer Science from the University of Johannesburg for his thesis on agent-based complex adaptive systems. He has over 15 years of experience researching and innovating large scale streaming analytics systems for government and industry. He has previously served South Africa as a sub-chair within the committee-on earth observation satellites and as part of the South African delegation to the GEO Ministerial. He has received numerous awards including the Meraka Institute innovation excellence award, Council for Scientific and Industrial Research (CSIR) Einstein special award and IEEE committee on earth observation medal for meritorious service. His research interests include data-driven science and engineering, prescriptive analytics, machine learning, meta-heuristic optimisation, complex adaptive systems, high-performance computing, and artificial intelligence.