Group Members

Benjamin Rosman

Lab Director

Robotics, Machine Learning, Reinforcement Learning

Steven James

Lab Director

Artificial Intelligence, Reinforcement Learning, Planning

Branden Ingram

Lecturer

Artificial Intelligence for Games, Reinforcement Learning

Devon Jarvis

Lecturer

Theoretical Machine Learning, Computational Neuroscience

Geraud Nangue Tasse

Lecturer

Reinforcement Learning, Deep Learning, Deep Reinforcement Learning

Pravesh Ranchod

Lecturer

Robotics, Machine Learning, Reinforcement Learning

Jarrod Shipton

Associate Lecturer

Multi-Agent Reinforcement Learning, Zero-Shot Coordination, Ad-Hoc Coordination

Christopher Cleghorn

Senior Applied Scientist

Stochastic Optimisation, Neural Networks, Applications of AI to Radio Astronomy

Richard Klein

PRIME Lab Director

Computer Vision, Deep Learning

Tamlin Love

PhD Student

Machine Learning, Robotics, Reinforcement Learning

Ndivhuwo Makondo

Research Scientist and Manager & Visiting Researcher

Reinforcement Learning, Planning, Natural Language Processing, Robotics

Ofir Marom

Independent Researcher

Reinforcement Learning, Transfer Learning, Explainable AI

Katleho Masita

Postdoctoral Researcher

Embodied AI, Machine Learning, Intelligent Energy Systems

Rango Ramesh

Founder & Visiting Researcher

Robotics, Reinforcement Learning, VLMs

Christine Steininger

Research Manager

Human Evolution, Exosomatic Cognition, Adaptation

Victoria Williams

Postdoctoral Researcher

Cognitive Computing, Neural Networks and Brain-Inspired Algorithms, Interdisciplinary Research

Tristan Bester

Computer Science, Mathematics, Reinforcement Learning

Pierce Burke

Computer Vision, Generative Modeling, Graph Learning

Logan Dunbar

Curriculum Learning, Reinforcement Learning

Bongani Maseko

Robotics, Multi-Robot Systems, Task And Motion Planning

Neville Modise

Neuro-symbolic AI, Knowledge-grounded LLMs, Responsible AI, Explainability

Molefe Molefe

Computer Vision, Natural Language Processing, Medicine

Perusha Moodley

Reinforcement Learning

Hector Motsepe

Robot Learning, Embodied AI, Vision-Language Models, Reasoning in LLMs

Muhammad Umair Nasir

Open-Ended Learning, Neuroevolution, Reinforcement Learning

Divanisha Patel

Model-Based Reinforcement Learning, Graph Neural Networks

Jess Rees

AI for Healthcare, Bayesian inference, Multi-objective optimisation

Simon Rosen

Multiagent Reinforcement Learning, Reinforcement Learning, Knowledge Transfer

Tatenda Taodzera

Recommender Systems

Beatrice van Eden

Robotics

Alex Vogt

Reinforcement Learning, Explainable AI, Procedural Content Generation

Altaaf Ally

Machine Learning, Dynamic Difficulty Adjustment, Player Modeling, AI in Games

Nicholas Baard

Reinforcement Learning, Representation Learning, Generalisation in AI, Knowledge Transfer

Alexandra Barry

Robotics, Reinforcement Learning

Yishai Basserabie

Computational Neuroscience, Reinforcement Learning, Representation Learning

Andries Bingani

Robotics

Aneesh Chandran

Reinforcement Learning, Human-robot Interaction

Wen Guan Gavin Chen

Reinforcement Learning, Deep Learning

Noah Disler

Hierarchical Reinforcement Learning, Representation Learning

Jeremy du Plessis

Reinforcement Learning, Deep Learning, Cognitive Science

Shivaan Govender

Robotics, Reinforcement Learning

Brendan Griffiths

Classical & Quantum Computational Theory, Reinforcement Learning

Rayhaan Hanslod

Robotics, Reinforcement Learning, Computational Neuroscience

Damion Harvey

Hierarchical Reinforcement Learning, Machine Learning

Julian Jacobs

Bioinformatics, Sequence Assembly

David Jellin

Robotics, Reinforcement Learning

Michaela Klug

Reinforcement Learning, Computer Vision

Gomotsegang Matloa

Reinforcement Learning, Statistical Modelling, Quantitative Finance

Oriinga Maudu

Artificial Intelligence for Games, Reinforcement Learning, Representation Learning

Zukisa Mbuli

Deep Reinforcement Learning, Computer Vision

Mangaliso Mngomezulu

Reinforcement Learning, Robotics, Computer Vision, Sequence Modelling

Naledi Modise

Reinforcement Learning

Karabo Mohapeloa

Natural Language Processing, Low-Resource Languages, Reinforcement Learning

Boikanyo Molele

Machine Learning, Uncertainty Quantification

Refiloe Mopeloa

Computer Architecture, Operating Systems, Cybersecurity

Khanyisa Mzima

XAI, Computer Vision, Deep Learning, Reinforcement Learning

Tevlen Naidoo

Computer Vision, Robotics, Machine Learning, Digital Image Processing

Banzile Nhlebela

Computer Vision, Applied Machine Learning, Robotics, Mathematics, Biology

Palesa Rapolaki

Robocup, Cooperative Multi-Agent Systems, Reinforcement Learning

Danielle Smal

Robotics, Reinforcement Learning, Education

Willem van der Merwe

Large Language Models, Reinforcement Learning

Luca von Mayer

Reinforcement Learning, Representation Learning, Machine Learning

Luka Zatezalo

Computer Vision, Machine Learning