Tezira Wanyana

Tezira Wanyana

Assistant Lecturer

Tezira is an Assistant Lecturer at the Faculty of Computing and Informatics in the department of Computer Science. She is currently pursuing her PhD at the University of Cape Town (UCT) in the Adaptive and Cognitive systems (ACS) Laboratory under the Centre for Artificial Intelligence Research (CAIR).  She is an HPI (Hasso Plattner Institute ) at UCT fellow and she was recently awarded the Microsoft Research PhD fellowship.

Her broad research interests are in artificial intelligence (AI) specifically in intelligent systems, hybrid intelligence and adaptive and cognitive systems. She is interested in applying different AI techniques i.e. the data driven and knowledge driven AI techniques in the design of architectures for intelligent systems. She is also interested in the application of AI in improving health outcomes in Sub- Saharan Africa as well as intelligent systems for sustainable production and consumption.



[1] Wanyana, Tezira, Mbithe Nzomo., C. Sue Price., and Deshendran Moodley.Combining Machine Learning and Bayesian Networks for ECG Interpretation and Explanation.” In Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health -ICT4AWE,Ed. by Martina Ziefle, Maurice Mulvenna and Leszek Maciaszek. 2022 , pages 81–92. INSTICC, SciTePress,  DOI: 10.5220/0011046100003188

[2] Wanyana, Tezira and Deshendran Moodley. “An Agent Architecture for Knowledge Discovery and Evolution”. In KI 2021: Advances in Artificial Intelligence. KI 2021. Lecture Notes in Computer Science, vol 12873. Springer, Cham Ed. by Edelkamp S., Möller R., Rueckert E. 2021 https://doi.org/10.1007/978-3-030-87626-5_18

[3] Wanyana, Tezira, Deshendran Moodley, and Thomas Meyer. “An Ontology for Supporting Knowledge Discovery and Evolution”. In: Southern African Conference for Artificial Intelligence Research (SACAIR). Ed. by Aurona Gerber. 2020, pp. 206–221.

[4] Wanyana, Tezira and Deshendran Moodley. “Towards an ontology for automatic scientific discovery”. In:Proceedings of the South African Forum for Artificial Intelligence Research (FAIR) Cape Town, South Africa, 4-6 December, 2019. Ed. by Marelie H. Davel andEtienne Barnard. Vol. 2540. CEUR Workshop Proceedings. CEUR-WS.org, 2019


Our paper on “Combining Machine Learning and Bayesian Networks for ECG interpretation and explanation.” [1] was nominated as a candidate to win the ICT4AWE 2022 best student paper award.