Prof Marelie Davel

  Professor
  +27 67 203 8092
  marelie.davel@gmail.com
  MUST Research Office, 2 On Main, Hermanus, Potchefstroom
  

PhD in Electronic Engineering


  Deep Learning, Computational Intelligence, Statistical Pattern Recognition, Automatic Speech Recognition, Human Language Technology

  Prof Etienne Barnard

  Extraordinary Professor
  etienne.barnard@gmail.com
  Bloomington, USA, Potchefstroom
  

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
  slotz@sansa.org.za
  

PhD in Physics


  Modelling and Prediction of Geomagnetically Induced Currents, Space Weather Modelling, Pc3 Pulsations

   Ulrike Janke

  Operations Manager
  +27 67 203 8092
  ulrike.janke@nwu.ac.za
  MuST Research Office, 2 On Main, Hermanus, Potchefstroom

   Simone Peacock

  Senior Financial Assistant
   +27 18 299 4022
  22383557@nwu.ac.za
  Building N1A, Room 402, Potchefstroom, Potchefstroom

  Dr Tian Theunissen

  Postdoctoral fellow
  tiantheunissen@gmail.com
  N1A, Potchefstroom Campus, Potchefstroom
  

PhD in Computer and Electronic Engineering


  Research theme: Theory - Generalisation in deep learning

   Raymond Molapo

  PhD Student
  nkadi.ray@gmail.com
  

M.Eng. Computer and Electronic Engineering


  Research theme: Theory - Generalisation in deep convolutional neural networks

   Vincent le Roux

  PhD Student
  lerxvincent@gmail.com
  

M.Eng. Mechanical Engineering


  Development of a deep neural network framework for sailplane cross-country performance optimisation

   Coenraad Mouton

  PhD Student
  moutoncoenraad@gmail.com
   MuST Research Office, 2 On Main, Hermanus, Potchefstroom
  

M.Eng. Computer and Electronic Engineering


  Research theme: Theory - Predicting generalisation in deep neural networks through internal representation analysis

   Aldrin Ngorima

  PhD Student
  aldringorima@gmail.com
  N1A, Potchefstroom Campus, Potchefstroom
  

M.Eng. Computer and Electronic Engineering


  Research theme: Adaptive channel estimation using deep learning for future networks

   Gerbrand Haasbroek

  PhD Student
  dgerbrandh@gmail.com
  N1A, Potchefstroom Campus, Potchefstroom
  

M.Eng. Computer and Electronic Engineering


  Research theme: Theory - Generalisation in deep learning

   Simon Ramalepe

  PhD Student
  simon.ramalepe@ul.ac.za
  

University of Limpopo



   Chara Grant

  M Student
  Chara.grant@gmail.com
  N1A, Potchefstroom Campus, Potchefstroom
  

B.Eng. Computer and Electronic Engineering


  Research theme: Theory - Knowledge discovery with additive attribution methods for geomagnetic index prediction

   Edrich Fourie

  M Student
  edrichfourie1@gmail.com
  N1A, Potchefstroom Campus, Potchefstroom
  

B.Eng. Computer and Electronic Engineering


  Research theme: Applications of deep learning - Whale call detection with deep neural networks

   Almaro De Villiers

  M Student
  almarodevilliers@gmail.com
  N1A, Potchefstroom Campus, Potchefstroom
  

B.Eng. Electrical Engineering


  Research theme: Generalisation in deep learning

   Coenraad Middel

  M Student
  Coenraad.Middel@porcupine.ai
  

B.Eng. Mechanical Engineering


  Research theme: Exploring tabular transformers for short-term insurance modelling

   Harmen Potgieter

  M Student
  potgieterharmen@gmail.com
  Building N1A, Potchefstroom
  

B.Eng. Computer and Electronic Engineering


  Research theme: Generalisation in deep learning

   Johan Kruger

  M Student
  johankruger118@gmail.com
  Building N1A, Potchefstroom
  

BSc (Hons) Actuarial Science


  Research theme: Generalisation in deep learning

   Leah Maponya

  M Student
  leahsemonkosi@gmail.com
  Building N1A, Potchefstroom
  

BSc (Hons) Actuarial Science


  Research theme: Generalisation in deep learning

   William Brooks

  M Student
  williambrooks499@gmail.com
  Building N1A, Potchefstroom
  

B.Eng. Computer and Electronic Engineering


  Research theme: Generalisation in deep learning

   Kearabetswe Sehube

  Intern
  must.assistant@gmail.com