Prof Andries Engelbrecht is an A-rated researcher as rated by the National Research Foundation. This rating acknowledges that he is a leading international researcher in his field. His fields of expertise are computational intelligence, swarm intelligence, evolutionary computation, neural networks, optimisation, machine learning, and data analytics. Prof Engelbrecht is the first incumbent of the new Voigt Chair in Data Science in the Department of Industrial Engineering.
As a first-year Matie student in 1988 he opted for BSc with Computer Science and Mathematics. He obtained his honours cum laude in 1992, followed by a master’s cum laude (1994) and a PhD in 1999. During his postgraduate studies he taught Computer Studies and Mathematics on a temporary basis at a few schools. His introduction to academia came with his appointment as a lecturer in Computer Science at UNISA in 1996 where he stayed for two years.
His academic career gained momentum in 1998 when he joined the University of Pretoria as a lecturer in Computer Science. Over the two decades that followed, he rapidly progressed through the ranks, his last two positions being Head of Department (2009 to 2017) and Director: Institute for Big Data and Data Science (2017 to 2018). After 21 years at the University of Pretoria, the opportunity arose to return to his alma mater. His appointment at Stellenbosch University comprises two aspects: 50% is allocated to his role as Chair in Data Science in the Faculty of Engineering and 50% as an academic in the Computer Science Division in the Faculty of Science.
He presents the Applied Machine Learning and Data Analytics modules of the Data Science postgraduate programmes. In the Computer Science Division, he presents two honours modules, Computational Intelligence and Machine Learning. He serves on the management committee of the Department of Industrial Engineering, and academic coordinatore of the M.Eng (Structured)(Industrial Engineering) and PGDip (Industrial Engineering) programmes. He is also th epostgraduate manager for the Computer Science division.
He leads a large research group of fourth year project students, masters students, and PhD students from both the Industrial Engineering department and the Computer Science division. In addition, he also supervises 8 external masters students and 2 external PhD students. He has graduated 52 masters students, 18 doctoral students, and 96 fourth year project students.
Prof Engelbrecht is currently the most cited Computer Scientist in South Africa, with a current Google Scholar h-index of 60. He has published over 370 research papers, and has written two books:
- Fundamentals of Computational Swarm Intelligence, Wiley & Sons, December 2005 (also translated into Chinese)
- Computational Intelligence: An Introduction, Wiley & Sons, Second Edition, December 2007
The research interests of Prof Jan H van Vuuren are combinatorial optimisation and decision support within the wider area of operations research. He heads the Stellenbosch Unit for Operations Research in Engineering (SUnORE) within the Department of Industrial Engineering.
He obtained his bachelor’s degree in science cum laude from Stellenbosch University in 1989, majoring in mathematics and applied mathematics. He followed this up with an honours degree cum laude in 1990 and a master’s degree cum laude in 1992, both in applied mathematics and both from Stellenbosch University. He obtained his doctorate in mathematics from the University of Oxford, United Kingdom in 1995. He has been a member of staff at Stellenbosch University since 1996, first in the Department of Applied Mathematics (until 2007) and then at the Department of Logistics (until 2013). He is currently professor of operations research within the Department of Industrial Engineering, a position he has held since 2014. In all of these departments he has taught subjects related to optimisation, at both undergraduate and postgraduate levels.
He leads a large research group of fourth year project students, masters students, and PhD students from both the Industrial Engineering department and other engineering departments. In addition, he has supervised 80 fourth-year project students, 85 masters students, and 55 doctoral students to the successful completion of their studies.
Prof van Vuuren is the author of more than a hundred and twenty journal publications has co-edited/written two books:
- Kruger HA & Van Vuuren JH (Eds), 2019. Operations research in South Africa: The first 50 years, African SunMedia, Stellenbosch, 1028 pp.
- Henning MA & Van Vuuren JH, 2022. Graph and network theory: An applied approach using Mathematica, Springer, Cham, 766 pp.
Prof Jacomine Grobler joined the Department of Industrial Engineering at Stellenbosch in February 2019 as Associate Professor. Her areas of expertise are the development of optimisation algorithms and the application of data science within the field of industrial engineering. With this background she joined the newly-established Data Science research group.
Prof Grobler was born and raised in Pretoria. She decided to study engineering as the work is creative and requires good problem-solving skills. Furthermore, she opted for Industrial Engineering in particular, because it is people oriented and there are vast opportunities in industry for industrial engineers. She obtained all her industrial engineering degrees at the University of Pretoria: BEng 2006, HonsBEng 2007, MEng 2009 and PhD 2015.
During her study career, she received 12 awards. These include the Department of Industrial and System Engineering prize for the best final-year project; Medal from the South African Institute of Industrial Engineering for the best final-year Industrial Engineering student; Winner of the SAS Operations Research National Student Competition best honours project; South African Association for the Advancement of Science Bronze medal for the best dissertation at master’s level at the University of Pretoria; and the 2017 South African Institute for Industrial Engineering Award for Outstanding Young Industrial Engineering Researcher. From August 2008 to March 2014 she was employed by Denel Dynamics Pty Ltd. Thereafter she joined the CSIR as research group leader: Transport and Freight Logistics. In October 2015 she returned to academia, this time as lecturer in supply chain management at UP.
Prof MJ (Thinus) Booysen is Professor and Chair in the Internet of Things at the Faculty of Engineering at Stellenbosch University. He has been with Stellenbosch University from 2009 and his research is on the Internet of Things, with a focus on Smart Energy, Water and Vehicles (specifically its application to paratransit in Sub-Saharan Africa). He is also a founder of Bridg-iot (Bridge-to-the-Internet-of-Things), founder of Green X Engineering , and co-creator of Geasy and Count Dropula. He is the Director of the MTN Mobile Intelligence Lab and partner in the Stellenbosch Smart Mobility Lab. He is a Senior Member of the IEEE, Member of the Institution of Engineering Technology (MIET), a Chartered Engineer (CEng) at the Engineering Council (UK), and a Professional Engineer (PrEng) with the Engineering Council (SA). He has over ten years’ international industry experience in the aerospace and automotive industries with companies that include SunSpace, Rolls-Royce, Boeing, BMW, and Jaguar Land Rover.
Mandla Gwetu has an extensive career in tertiary education which spans multiple institutions, where he has gained experience in curriculum development, community engagement, scientific research and academic leadership. He holds a PhD in Computer Science from the University of KwaZulu-Natal and is an alumni of the Heidelberg Laureate Forum and the USB-ED Senior Management Development Program. His areas of expertise include both theoretical and application aspects of Machine Learning, Artificial Intelligence and Computer Vision. He is actively seeking for self funded PhD candidates and research collaborations in Computational Data Science.
Mandla Gwetu is currently involved in the delivery of Data Science, Data Engineering and Data Analytics modules in the Faculty of Engineering. Visual Paradigm software is used as a design tool in the Data Engineering module.
As an academic partner of Visual Paradigm, Visual Paradigm is providing Stellenbosch University with their online UML software, and database design software for educational use.
Dr Jacques du Toit obtained his bachelor’s degree in physical and mathematical analysis (PMA) from Stellenbosch University (SU) in 2003, majoring in mathematics and computer science. He went on to complete his Honours degree in PMA, and received his master’s degree cum laude in Applied Mathematics in 2009, also from SU. He then followed master’s courses in Artificial Intelligence at the University of Amsterdam (UVA) and received his PhD in Operations Research in 2014 from SU.
He is currently working at a big data analytics company where his responsibilities include industry training in big data methodologies and realising value from data using the latest technologies. He has worked on various data science, machine learning and big data problems in industry, as well as big data science projects like the SKA.
Dr. Philip Venter received his B.Sc. and B.Sc. Hons. in Actuarial science, B.Sc. Hons. Mathematics, B.Eng. and M.Eng. (Mechanical) and Ph.D. in Applied Mathematics from the North-West University (NWU) in Potchefstroom. He is professionally registered at ECSA (Mechanical) with industry, consulting, and academia experience. In academia he held positions at both the Mechanical and Industrial Engineering the NWU, before joining the SUNoRE research group at SUN’s Department of Industrial Engineering.
The combination of qualifications allows Dr. Venter to incorporate his research into providing, scientific fundamentally based, data-driven solutions for process optimisation and decision support. As a specialist in thermal fluid science modelling, emphasis is placed on modelling that assesses both the in-time working efficiency of chemical processes, as well as plant equipment’s operational health.
As an optimisation specialist his research focuses on decision support, by solving for best system outcomes through either advanced planning, in-time interactions, or a combination thereof.
Eldon Burger graduated with a bachelor’s in Electrical and Electronic Engineering from North-West University in 2012 upon which he received the South African Institute of Electrical Engineers (SAIIIE) award for the best fourth year student. Thereafter, he joined Eskom where he worked on various analytical projects. In 2015, while working at Eskom, he obtained his degree in Industrial Engineering from the University of South Africa. In 2020, Eldon graduated from the University of Debrecen in Hungary with a master’s in Computer Science and he was awarded the distinguished Dean’s List award.
Eldon joined Stellenbosch University in 2021 as a lecturer in data science. He is currently pursuing his PhD in Industrial Engineering. His research focuses on addressing the major barriers associated with adopting artificial intelligence in essential industries.
He serves in the management committee of the Industrial Engineering department.
Euodia Vermeulen is a lecturer at the Stellenbosch University’s Department of Industrial Engineering. She has earned PhD (Industrial Engineering) in 2021, MEng in Industrial in 2018 and BEng Industrial in 2015. Earlier in life she has obtained a degree in Physiotherapy (BPhysT) at the University of Pretoria in 2010 and completed the community service year in Waterval Boven, South Africa in 2011. Her research interests are in systems thinking, data science, networks, and simulation, especially in the life sciences domains concerning sports, health, and sustainability.
