I am/have supervised/co-supervised the following students:
In progress
Roanne Coetzer, MSc Stellenbosch University, thesis title “Developing a penguin posture estimator to study penguin behavior”
Santeshan Naidoo, MSc Stellenbosch University, thesis title ” Few-shot learning for passive acoustic monitoring of endangered species”
Donovan Broughton, MSc Stellenbosch University, thesis title “Evolving encapsulated neural network blocks”
Alex Mirugwe, MSc UCT, thesis title “Investigating automated bird counting from webcams using machine learning”
Vedanth Baiju, MSc UCT, thesis title “Word Sense Disambiguation through Deep Learning”
Ehsaan Rajak, MSc UCT, thesis title “Evolutionary Algorithms to Augment Transfer Learning of Deep Convolutional Neural Networks”
Aime Nshimiyimana, MSc Uni of Rwanda, thesis title “Investigating data augmentation techniques for small bioacoustic datasets’
Boris Mikwa, MSc Uni of Rwanda, thesis title “Pre-training neural networks on Xeno-Canto and eBird for bioacoustic classification models”
Nonhlanhla Luphade, MSc UCT, thesis title “Automated classification of Hainan Gibbon call types using deep learning”
Completed and graduated
2020
Tshepo Bafana Maila, MSc AIMS, thesis titled “Augmenting Bioacoustic Datasets using Generative Adversarial Networks”
Thabang Wilson Malapane, MSc AIMS, thesis titled “Pruning Neural Networks for Bioacoustic Monitoring” – awarded with distinction
2021
Sinethemba Nongqoto, MSc AIMS, dissertation title “Machine learning for COVID-19 sentiment analysis”
2022
Temweka Chirwa, MSc University of Cape Town, thesis title “Detection and Isolation of Prey Capture Events in Animal-Borne Images”
Nakkita Lungoomeah, MSc University of Cape Town, thesis title “Counting Objects in Ecological Images using Deep Learning” – awarded with distinction