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

Kaylin Kleinsmidt

Administration Officer

Kearabetswe Sehube

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

Kgopolang Tshabalala

  Intern
  Building N1A
  BSc in Information Technology

Postdocs

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 Tian Theunissen

  Postdoctoral fellow
  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.

Dr Emmanuel Tuyishimire

  Postdoctoral fellow
  N1A, Potchefstroom Campus, Potchefstroom
  PhD in Computer Science
  Time series applications

Students

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

Simon Ramalepe

  PhD Student
  University of Limpopo
  Research theme: Application-natural language processing

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

Almaro De Villiers

  M Student
  N1A, Potchefstroom Campus
  B.Eng. Electrical Engineering
  Research theme: Theory-Evaluating attribution for multivariate time series

Leon Freese

  M Student
  Building N1A
  B.Eng. Computer and Electronic Engineering
  Research theme: Theory - Detecting problematic samples in deep learning

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

Johan Kruger

  M Student
  Building N1A
  BSc (Hons) Actuarial Science
  Research theme: Exploring product units in the context of modern 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

Ruan van der Spoel

  M Student
  Building N1A
  B.Eng. Computer and Electronic Engineering
  Research theme: Theory - Inducing diversity among subpredictors in an implicit deep ensemble

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