Participants of MML span multiple departments and faculties across Stellenbosch University. Here we list Stellenbosch faculty who consider their core research to include Machine Learning. This includes both foundational and applied research.
Bubacarr is interested in the mathematical foundations, algorithms, & applications of data science, and compressed sensing.
Willie's interests include deep learning for image and video analysis, as well as visual knowledge modelling.
Johan du Preez
Johan immerses himself in probabilistic pattern recognition and machine learning.
Trienko uses machine learning to solve problems in remote sensing, interferometry and trajectory mining.
Herman’s research interests are in applied machine learning, specifically collaborative, multi-agent reinforcement learning in Minecraft.
Herman works on low-resource speech and language processing, with some research in computer vision, robotics and communication.
Steve's research interests are machine learning theory, sequential decision making, and search techniques.
Corné van Daalen
Corne focusses on reasoning and decision-making under uncertainty, applied to mobile robots.