Masters & PhDs - 2023
Daniel Ogwok
Exploring Biologically Inspired Algorithms towards Imitation, Transfer, and Adaptive Learning with an Application in Computer Games
Margaux Bowditch
Automated choreographic annotation for ballet using computer vision
Siyamdumisa Maphisa
A Model for Face Anti-Spoofing based on Deep Learning and Ensemble Learning Methods
Brian Greaves
Access Control for Cyber-Physical Systems Using Stereovision and Digital Twins
Tevin Moodley
A study of the Feature Engineering versus end-to-end Deep Learning approach to achieve Object Detection, Action Recognition, Pose Estimation, and Pose Correction within sports video footage
Shaneel James
Increasing the competitiveness of non-player agents through knowledge-sharing
Jarred Orfao
Improving Face Presentation Attack Detection using Deep Learning and Generative Data Augmentation
Xola Ntlangula
Social Profile-Based E-learning Model
Michael Cilliers
How closely should biology inspired algorithms match the biological process?
Claudius du Plessis
Small Dataset Machine Learning Applied to Azo-dye Synthesis Discovery
Siphesihle Sithungu
A Generative Adversarial Artificial Immune Network (GAAINet) for Distributed Intrusion Detection in Industrial IoT Systems
Pavel Tychler
Decentralised Autonomous Intersection Management
Ashir H. Mohabir
The Prevention of Model Poisoning using Artificial Immune Networks
Michele Cullinan
Holonicity and Homoiconicity in the context of Multi-Agent Learning
Anthony Kolenic
Slime Mould inspired Neuroevolution
Nombeko Ntingi
KhuselekaCTH Framework - A Community SOC Framework for Small, Medium, and Micro Enterprises (SMMES) in Developing Countries
Victoria Marciano
Gamification of Cybersecurity Awareness
Anton Röscher
A Cognitive Load Based Multi-Modal Driver Performance Ranking Model
Thenjiwe G. Sithole
A Cyber Counterintelligence Competence Framework
Tristan Falck
Coordinating Neural Tensor Network Predictions for Cross-Relational Reasoning
