Visit our Projects page to find our more about our research projects.
Need assistance? Contact us at
help@sit.uct.ac.za
By: Henok Moges, Ahana Maharaj, Jack Montgomery, Mazwi Kelvin Nyadzayo
Supervised By: Deshen Moodley
The Artificial Intelligence Research Unit (AIRU), based in the Department of Computer Science in the Faculty of Science at the University of Cape Town conducts foundational and applied research across a broad range of AI areas. These include machine...
By: Zola Mahlaza, Daniel Holgate, Phuthang Makhupane, Nana Kwabena Opoku-Acheampong, Dennis Kiptanui Too, Atshilaho Nethathe
This is a showcase of some of the work done by members of the CapeNLG research group. We primarily work on natural language processing, with particular focus on natural language generation for low-resourced African languages. In this exhibit, we will...
By: James Gain, Liza Siurina, James Burness, Maurice Bossekota Gbaya, Johan Bontes, Zebiao Wu, Jai Om, Dennis Kiptanui Too, Mazano Kuhudzai, Daniel Gordon, Tobias Kramer, Tumelo Matobo, Shivaskar Naidoo, Kayuri Chetty
The Collaborative Visual Computing Laboratory conducts research in Computer Graphics, Computer Vision, Machine Learning, and Virtual Reality. It is led by Prof. James Gain and A/Prof. Patrick Marais.
By: Nicholas Yerolemou , Farzana Haque Toma, Carla Coetzee, Unays Bhad
Supervised By: Michelle Kuttel, Neil Ravenscroft, Nicole Richardson
Our research group combines computational modelling and software engineering to study bacterial glycobiology and advance structural bioinformatics. We focus on two primary directions: Computational Glycobiology & Vaccine Design: We perform molecular...
By: Hussein Suleman, Claytone Sikasote, Folasade Adedeji, Nkiruka Iwundu, Wilson Kalambo, Jivashi Nagar
Supervised By: Hussein Suleman
The Digital Libraries Laboratory conducts research and provides support for information management problems with particular emphasis on the poor countries of the world with their associated unique constraints, such as cultural differences, limited...
By: Geoff Nitschke, Sian Heesom-Green, Bilal Aslan, Max Van Veen, Oliver Foxcroft, Reece Van Der Bank, Phiwumusa Ngidi
Current research in the Evolutionary Machine Learning group focuses on several topics including: Swarm Robotics, Hybrid Artificial Life, Neural Complexity, Evolutionary design and Collective Behaviour Transfer.
By: Craig Balfour, Popyeni Kautondokwa, Godfrey Haonga, Nomonde Khalo
Supervised By: Melissa Densmore
The Hasso Plattner Institute (HPI) research collaboration brings together PhD researchers from Computer Science and Information Systems at UCT. This exhibit presents their work, shown on the posters from the HPI Progress Symposium.
By: Rachel Oluwatuyi, Sierra Van Riel, Yazeed Adams, Sabiha Shaikh, Ella THORBURN
Supervised By: Melissa Densmore
The Human-Computer Interaction (HCI) Lab at the Department of Computer Science, University of Cape Town (UCT), promotes community-based innovation, connecting communities and advancing human-centred technology design. Our research sits at the...
By: Sicelukwanda Zwane
Supervised By: Sicelukwanda Zwane
Data collection is a critical first step in supervised learning. For a model to generalise to new situations, its training data must adequately represent the conditions it will encounter at test time. Achieving this in robotics is challenging: collecting...
By: Ronald Chiwariro
Supervised By: Salah Kabanda, Dirk Snyman
CITANDA is the vehicle through which research by the department and interdisciplinary collaborators is branded and funded. It is a conduit for drawing together researchers. CITANDA aims to bring together researchers, projects, funders, and programmes...
By: Natalie Alexander, Claytone Sikasote, Anri Lombard, Ruba Osman
Supervised By: Jan Buys, Francois Meyer
We do research in natural language processing, with a focus on developing language resources and language models for low-resource South African and African languages. For models and datasets, please visit: https://huggingface.co/uctnlp.
Join our community of innovators and help shape the future of technology.