| 1 |
Don Gwese |
Modeling the Maturing Brain: The Influence of Electrophysiological Features on Learning in Biophysical RNNs |
Main supervisor |
2026 |
2027 [intended] |
| 2 |
Nabil Patel |
Empirical Scaling Laws for QLoRA Fine-Tuning in Specialised Multiclass Text Classification: A Transfer Pricing Benchmarking Case Study |
Main supervisor |
2026 |
2027 [intended] |
| 3 |
Tsapang Mashego |
Modeling Insurance Premiums for Risk Assessment using Interpretable Machine Learning |
Main supervisor |
2025 |
2026 [intended] |
| 4 |
Kelly-Robin Singh |
Feature Engineering for a Gene-Specific Machine Learning Approach to Variant Annotation of PCDH19-Related Epilepsy |
Main supervisor |
2024 |
2026 [intended] |
| 5 |
Tanweer Nujjoo |
Forecasting Spatial-Temporal Wildfire Susceptibility on the Table Mountain National Park |
Co-supervisor |
2024 |
2026 [intended] |
| 6 |
Puja Pande |
Shining Light on Rooftop Solar Adoption: Using Agent-Based Modelling to Investigate Key Drivers in Cape Town |
Main supervisor |
2024 |
2026 |
| 7 |
David Snaddon |
The Structure and Evolution of the African Air Transport Network |
Co-supervisor |
2024 |
2025 |
| 8 |
Jonathan Harrison |
Coastal Water Level Prediction: A Comparative Study of Statistical and Machine Learning Techniques for Time Series Forecasting |
Co-supervisor |
2024 |
2025 |
| 9 |
Daniel Charters |
Virtual Try-on with Garment Extraction using Generative Adversarial Networks |
Main supervisor |
2023 |
2024 |
| 10 |
Revesa Moodley |
Modelling Highly Imbalanced Credit Card Fraud Detection Data using Statistical Learning |
Main supervisor |
2022 |
2023 |
| 11 |
Liam Carew |
Application of CNN-gcForestCS to Cassava Leaf Image Classification |
Main supervisor |
2022 |
2023 |
| 12 |
Victoria Pedlar |
isiZulu Text Generation: Techniques for a Morphologically Rich and Low Resourced Language |
Main supervisor |
2022 |
2023 |
| 13 |
Yevashan Perumal |
Applying Imputation and Statistical Learning to Predict Gamma-glutamyl Transferase in Underwriting Data |
Main supervisor |
2022 |
2023 |
| 14 |
Nonhlanhla Luphade |
Automated classification of Hainan Gibbon call types using deep learning |
Co-supervisor |
2021 |
2023 |
| 15 |
Arlton Gilbert |
Modelling First Innings Totals in T20 Cricket: Applications in the Indian Premier League |
Main supervisor |
2021 |
2023 |
| 16 |
Charles Houston |
Adapting Large-Scale Speaker-Independent Automatic Speech Recognition to Dysarthric Speech |
Main supervisor |
2021 |
2022 |
| 17 |
Brenden Taylor |
Small-Scale Distributed Machine Learning in R |
Main supervisor |
2021 |
2022 |
| 18 |
Deirdre van den Heever |
Applications of Machine Learning in Apple Crop Yield Prediction |
Main supervisor |
2020 |
2021 |
| 19 |
Tristan Naidoo |
Automated quantification of plant water transport network failure using deep learning |
Main supervisor |
2020 |
2021 |
| 20 |
Vaughn Saben |
Vehicle Accident Feature Extraction from a Drone-based Video Feed |
Main supervisor |
2019 |
2022 |
| 21 |
Blessings Hadebe |
Monitoring and mapping the critically endangered Clanwilliam cedar using remote sensing and deep learning |
Main supervisor |
2019 |
2021 |
| 22 |
Dean Robertson |
Named Entity Recognition with Recurrent Neural Networks |
Main supervisor |
2019 |
2021 |
| 23 |
Devon Stone |
An Exploration of Alternative Features in Micro-Finance Loan Default Prediction Models |
Main supervisor |
2019 |
2020 |