Meet the Team

Prof Marelie Davel

  Director
  311 Piet Retief Cres, Sandbaai, Hermanus
  PhD in Electronic Engineering
  Machine Learning, Deep Learning, Computational Intelligence, Statistical Pattern Recognition, Automatic Speech Recognition

Prof Etienne Barnard

  Extraordinary Professor
  Bloomington, USA
  PhD in Electrical and Electronic Engineering
  Information and Computer Science, Artificial Intelligence, Neural Networks, Pattern Recognition, Automatic Speech Recognition

Prof Stefan Lotz

  Extraordinary Professor
  +27 28 312 1196
  PhD in Physics
  Modelling and Prediction of Geomagnetically Induced Currents, Space Weather Modelling, Pc3 Pulsations

Prof Mohohlo (Samuel) Tsoeu

  Extraordinary Associate Professor
  +27 31 373 2928
  Durban, KwaZulu-Natal, South Africa
  PhD in Electrical Engineering, MBA
  Machine Learning, Natural Language Processing, Instrumentation and Control Systems

Prof Ben Opperman

  Professor
  +27 28 312 1196
  PhD in Physics
  Research theme: Theory - Generalisation in deep learning

Simone Peacock

  Senior Financial Assistant
   +27 18 299 4022
  Building N1A, Room 402, Potchefstroom

Kearabetswe Sehube

  Senior Administrative Assistant
  Building N1A
  B.Sc. (Honshonn) Geography

Dr Tian Theunissen

  Senior Lecturer
  MUST Research Office, 311 Piet Retief Cres, Sandbaai, Hermanus
  PhD in Computer and Electronic Engineering
  Generalisation in deep learning and interpretability of deep time series models.

Postdocs

Dr Obsa Gilo

  Postdoctoral fellow
  N1A, Potchefstroom Campus
  PhD. Computer Science and Engineering
  Research theme: Deep learning for time series modeling and forecasting

Dr Shruti Bhatporia

  Postdoctoral fellow
  N1A, Potchefstroom Campus,
  PhD. Physics
  Research theme: Deep learning classification of fast radio bursts

Dr Randle Rabe

  Postdoctoral fellow
  MUST Research Office, 311 Piet Retief Cres, Sandbaai, Hermanus
  PhD. Theoretical and Mathematical Physics
  Generalisation in deep learning and interpretability of deep time series models.

Dr Coenraad Mouton

  Postdoctoral fellow
  MUST Research Office, 311 Piet Retief Cres, Sandbaai, Hermanus
  PhD. Computer and Electronic Engineering
  Research theme: Generalisation in deep learning

Students

Tinevimbo Chitando

  PhD Student
  N1A, Potchefstroom Campus
  MSc. Artificial Intelligence
  Research theme: Mechanistic interpretability of deep vision networks

Gerbrand Haasbroek

  PhD Student
  N1A, Potchefstroom Campus
  M.Eng. Computer and Electronic Engineering
  Research theme: Theory - Exploring Generalisation in deep convolutional neural networks using information flow

Aldrin Ngorima

  PhD Student
  N1A, Potchefstroom Campus
  M.Eng. Computer and Electronic Engineering
  Research theme: Applications of deep learning - Adaptive channel estimation using deep learning for future networks

Harmen Potgieter

  PhD Student
  MUST Research Office, 311 Piet Retief Cres, Sandbaai, Hermanus
  M.Eng. Computer and Electronic Engineering
  Research theme: Real-time cattle identification using deep vision models

Christiaan Borcherds

  M Student
  N1A, Potchefstroom Campus
  B.Eng.Mechatronics Engineering
  Research theme: Deep learning for human activity recognition in prosthetic control systems

Gerda de Jager

  M Student
  N1A, Potchefstroom Campus
  B.Eng. Computer and Electronic Engineering
  Research theme: Practical finger-angle estimation from sEMG using subject-specific DNNs

Minneke Hollenbach

  M Student
  Building N1A
  B.Eng. Mechatronic Engineering
  Research theme: Applications of deep learning - Evaluating the Impact of Semi-supervised and Unsupervised Pretraining on Sign Language Translation

Johann-Erich Holm

  M Student
  N1A, Potchefstroom Campus
  B.Eng.Computer and Electronic Engineering
  Research theme: Solar radio burst classification using foundation models

Johan Kruger

  M Student
  Building N1A
  BSc (Hons) Actuarial Science
  Research theme: Generalisation in deep learning

Brynne Lewis

  M Student
  Building N1A
  B.Sc. Mathematics and Statistics
  Research theme: Theory - An empirical investigation of the capacity gap in feature-based knowledge distillation from deep ensembles

Leah Maponya

  M Student
  Building N1A
  BSc (Hons) Actuarial Science
  Visualising time series explanations

Stephan Oberholzer

  M Student
  N1A, Potchefstroom Campus
  B.Eng. Industrial Engineering
  Research theme: Deep learning for photovoltaic panel fouling detection

Nimri Schuin

  M Student
  N1A, Potchefstroom Campus
  B.Eng.Computer and Electronic Engineering
  Research theme: Deep learning for prosthetic hand control using sEMG signals

Michael Wakeford

  M Student
  N1A, Potchefstroom Campus
  B.Sc. (Hons) Computer Science and Information Technology
  Research theme: Solar wind coupling functions with Kolmogorov-Arnold Networks

Cebelihle Zwane

  M Student
  N1A, Potchefstroom Campus
  B.Sc. Mathematics and Statistics
  Research theme: Theory - Generalisation in deep learning

MUST Deep Learning