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Group Members


Chris Cleghorn

Stochastic Optimization | Neural Networks | Applications of AI to Radio Astronomy

Research Associates

PhD Candidates

Jonathan Gerrand

Electrical Engineer | Data scientist at Explore-AI | Intelligent systems for Healthcare

Geethen Singh

Computer vision using satellite data for invasive species management

Beatrice van Eden

PhD candidate at the University of the Witwatersrand. R&D Engineer of the Council for Scientific and Industrial Research (CSIR).

MSc Candidates

Aneesh Chandran

Reinforcement Learning for Anticipatory cobots in an industrial setting

Leroy Dunn

Curriculum Learning in Reinforcement Learning

Chris Fourie

Machine learning, Theoretical / Computational Neuroscience, Healthcare


PhD Students

  • Steve James (2021) - Learning Portable Symbolic Representations
  • Ofir Marom (2021) - Leveraging Prior Knowledge for Sample Efficient Reinforcement Learning
  • Orhan Can Görür (2020) - Social Cobots: Anticipatory Decision-Making for Collaborative Robots with Extended Human Adaptation
  • Adam Earle (2019) - Spectral Reinforcement Learning
  • Ashley Kleinhans (2019) - Robotic grasping inspired by neuroscience using tools developed for deep learning
  • Ritesh Ajoodha (2018) - Influence modelling and learning between dynamic Bayesian networks using score-based structure learning
  • Ndivhuwo Makondo (2018) - Accelerating robot learning of motor skills with knowledge transfer
  • Pravesh Ranchod (2018) - Skill Discovery from Multiple Related Demonstrators

MSc Students