Students

• Current Students

• Third year students

• Honours students

• AIMS essay students

• Masters students

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  • Introduction to Complex Numbers, M. Mokhithi and J. Shock - From In Introduction to University Level Mathematics for a South African Audience - M. Mokhithi, J. Shock, Ed.Cape Town:
  • The relationship between mindset and academic achievement at university: A quantitative study of South African students, A. Cambell, M. Mokhithi, J.Shock - WEEF GEDC

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  • Thesis: Transformers in RL
  • A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning- ArXiv:2010.07777 , NeurIPS 2020

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  • SNN's and evolving learning rules for RL

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  • Variational Inference, the free energy principle and Reinforcement Learning

• PhD students

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  • https://iopscience.iop.org/article/10.3847/2041-8213/ab930a - A data-driven technique using millisecond transients to measure the Milky Way halo
  • https://doi.org/10.1016/j.physrep.2019.06.003 - A living theory catalogue for fast radio bursts
  • https://iopscience.iop.org/article/10.1088/1475-7516/2016/04/026 - How to avoid a swift kick in the chameleons
  • https://iopscience.iop.org/article/10.1088/1475-7516/2016/03/058 - Current observations with a decaying cosmological constant allow for chaotic cyclic cosmology

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  • Students' productive struggle in mathematics learning

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• Graduated students

• AIMS essay students

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  • Thesis: Machine learning applied to aerial images for vegetation detection
  • Personal Website
  • Github
• Al Zahraa Farrag - Information geometry (2014)
• Mohammad Mansour - knots of light (2015)
• Morris Musyoka - Image segmentation for medical imaging
• Linda Agyapomah Osei - Agyare - A survey of Reinforcement Learning algorithms
• Roger Jeasy Bavibidila - Random Network Distillation and curiosity in Reinforcement Learning
• Grace Ikhizama- Applications of machine learning in healthcare

• Third years

• Jordan (joint with Jan Buys) - Natural Language Processing
• Justin (joint with Jan Buys) - Natural Language Processing
• Kaitlyn Sparks - Metaplasticity in ANNs
• Jeremy Du Plessis - Curiosity driven reinforcement learning
• Siphelele Danisa - An Investigation into the Balance Between Exploration and Exploitation in Reinforcement Learning
• Kabelo Serage
• Taejun Park (Joint supervised with Juana Sanchez-Ortega) - Basics of Lie Algebra and Representation Theory
• Robert Spencer (Joint supervised with Jeff Murugan) - physics of hanging strings
• Tslil Clingman (Joint supervised with Jeff Murugan) - information geometry
• Lizelle Niit - models of action potentials
• Sam Wolski - The quantum Hall Effect
• Cara Pienaar - information geometry
• Kyle Levin - information geometry
• Dylan Nelson (Joint supervised with Jeff Murugan) - Minimal surfaces in hyperbolic space
• Chris Finlay - Deep learning and facial recognition
• Ryan Le Roux - Hawking Radiation
• Christoffel Goosen - Information Geometry
• Dimakatso Rapotu - Quantising the open string
• Jean-Jacques Du Plessis - Quantum computation and quantum information
• Sithembiso Mashinini - Quantum computation and quantum information
• Mita Ramabulana - Quantum computation and quantum information
• Quincy Mmako - Image segmentation
• Duncan Robertson - topological data analysis
• Dumisani Zitha - Quantum computation - Shor's algorithm

• Honours

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  • Scaling and the Structure of Neural Networks An Investigation into Possible Connections between Deep Learning and the Renormalisation Group
• Megan Cole - Spiking Neural Networks

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  • Climbing the Ladder: A Survey of Counterfactual Methods in Decision Making Processes
  • World Models and Predictive Methods in Deep Reinforcement Learning: A Survey

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  • Hopfield Networks
  • World Models and Predictive Methods in Deep Reinforcement Learning: A Survey

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  • Deep Reinforcement Learning
  • Graph Neural Networks

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  • Convolutional Neural Networks and Fast Radio Burst Classification - (joint supervised with Amanda Weltman)
  • Interpretability And Reinforcement Learning

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  • Thesis: Quantitaive EEG in predicting coma outcome
  • Paper: Consciousness Indexing and Outcome Prediction with Resting‐State EEG in Severe Disorders of Consciousness
  • This is a toolbox for the calculation of various parameters described in the above paper.
• Robert Spencer - tensor networks
• Lauren Denny - tensor networks
• Tslil Clingman - information geometry
• Emma Platts - information geometry
• Lizelle Niit - The avian compass

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  • Thesis: Maximization of information transfer in neural channels
• Cara Pienaar - Differential equation models for malaria: sensitivity to model formulation
• Dominic Bauer - Recommender systems

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  • Thesis: Deep Reinforcement Learning in Physical Environments containing Continuous Action Spaces using a Prior Model with Applications to Robotic Control
  • Linkedin
• Jason Connie - quantum information theory
• Darien Hillebrand - GANs

• Thesis: Brain Ageing Heat Maps via Deep Taylor Decomposition
• Logan Guildenhuys - the universal function approximation theorem
• Jibran Bodra - (Joint supervised with Tom Dietel) - ANNs and particle data
• Jeremy Wilkinson - (Joint supervised with Tom Dietel) - ANNs and particle data

• Masters

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  • Thesis: Achieving baseline states in sparsely connected spiking-neural networks: stochastic and dynamic approaches in mathematical neuroscience

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  • Thesis: On the local and global properties of information manifolds
  • Academic website

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  • Thesis: Entanglement entropy, the Ryu-Takayanagi prescription, and conformal maps

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  • Thesis: Understanding Heavy and Light Quark Brownian Motion from AdS/CFT
  • Github
  • ORCID
  • Linkedin

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  • Thesis: Quantum States on Spheres in the Presence of Magnetic Fields

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  • Thesis: Chaos and Scrambling in Quantum Small Worlds
• Vladimir Makic (joint supervised with Henri Laurie) - Rhino/poacher dynamics

• PhD

• Justine Tarrant (joint supervised with Jeff Murugan)
Searching for Self-Duality in Non-Maximally Supersymmetric Backgrounds