Group Members

Benjamin Rosman

Lab Director

Robotics, Machine Learning, Reinforcement Learning

Steven James

Deputy Lab Director

Artificial Intelligence, Reinforcement Learning, Planning

Branden Ingram

Lecturer

Artificial Intelligence for Games, Reinforcement Learning

Devon Jarvis

Associate Lecturer

Theoretical Machine Learning, Computational Neuroscience

Geraud Nangue Tasse

Associate 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

Victoria Williams

Postdoctoral Researcher

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

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

Artificial Intelligence, Reinforcement Learning, Planning, Knowledge Representation and Reasoning, Natural Language Processing, Robotics

Ofir Marom

Reinforcement Learning, Transfer Learning, Explainable AI

Pierce Burke

Computer Vision, Generative Modeling, Graph Learning

Logan Dunbar

Curriculum Learning, Reinforcement Learning

Bongani Maseko

Robotics, Multi-Robot Systems, Task And Motion Planning

Perusha Moodley

Reinforcement Learning

Muhammad Umair Nasir

Open-Ended Learning, Neuroevolution, Reinforcement Learning

Divanisha Patel

Model-Based Reinforcement Learning, Graph Neural Networks

Simon Rosen

Multiagent Reinforcement Learning, Reinforcement Learning, Knowledge Transfer

Tatenda Taodzera

Recommender Systems

Beatrice van Eden

Robotics

Ryan Alexander

Human-Robot Interaction, Robotics, Reinforcement Learning

Alexandra Barry

Robotics, Reinforcement Learning

Tristan Bester

Computer Science, Mathematics, Reinforcement Learning

Andries Bingani

Robotics

Andrew Boyley

Cyber Security, Reinforcement Learning, Self Supervised Learning

Jesse Bristow

Reinforcement Learning, Robotics

Jason Chalom

Computer Vision, Explainable AI, Control Using Deep Learning

Aneesh Chandran

Reinforcement Learning, Human-robot Interaction

Wen Guan Gavin Chen

Reinforcement Learning, Deep Learning

Jeremy du Plessis

Reinforcement Learning, Deep Learning, Cognitive Science

Amir Esterhuysen

Reinforcement Learning, Evolutionary Computation

Manuel Fokam

Representation Learning, Computer Vision, Reinforcement Learning

Ebenezer Gelo

Artificial Intelligence, Batch Reinforcement Learning, Knowledge Transfer

Nikhil Gilbert

Model-based Reinforcement Learning

Shivaan Govender

Robotics, Reinforcement Learning

Damion Harvey

Hierarchical Reinforcement Learning, Machine Learning

William Hill

Computer Vision, Reinforcement Learning

Julian Jacobs

Bioinformatics, Sequence Assembly

David Jellin

Robotics, Reinforcement Learning

Michaela Klug

Reinforcement Learning, Computer Vision

Ireton Liu

Computer Graphics, Computer Vision

Akshay Makhan

High Performance Computing, Reinforcement Learning, Robotics, Quantum Computing, Internet of Things

Zukisa Mbuli

Deep Reinforcement Learning, Computer Vision

Naledi Modise

Reinforcement Learning

Molefe Molefe

Computer Vision, Natural Language Processing, Medicine

Xin Nian

Reinforcement Learning, Computer Vision, Robotics

Abdel Mfougouon Njupoun

Mathematics, Robotics, Reinforcement Learning

Caston Nyabadza

Reinforcement Learning, Supervised & Unsupervised Machine Learning, Robotics

Jenalea Rajab

Compositional RL, Natural Language Processing

Ibrahim Suder

Machine Learning, Robotics

Alex Vogt

Reinforcement Learning, Explainable AI, Procedural Content Generation