Genetic Diversity of Southern African Cannabis

This research project has the overall objective of further studying the genetic diversity of South African cannabis landraces, with the goal of understind how they relate to other wile and landrace cannabis populations worldwide. This knowledge will help understanding the unique characteristics and adpatation of South African cannabis landraces, and reconstructing the human-mediated dispersal of […]

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Isolated THz magnetic fields

Magnetic fields are usually created in metal conductors, often organized in a single rotation loop. The field is calculated using the Biot-Savart law while the time-response is limited by inductance. SLAC, has recently been used to minimize inductance by employing the magnetic field around a relativistic electron beam. The field can peak at several Tesla, […]

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Evaluation of anti-invasive and anti-migratory effects of kaempferol and docetaxel co-treatment via modulation of drug metabolising enzymes in 2D and 3Dbreast cancer models.

Docetaxel is a key chemotherapeutic agent for treating locally advanced or metastatic breast cancer, but its effectiveness is often hindered by metabolic inactivation from drug-metabolizing enzymes, leading to multidrug resistance (MDR). This study aims to investigate the anti-metastatic effects of combining kaempferol, a flavonoid known for its anticancer properties, with docetaxel in both 2D and […]

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Exploring Shape Changing Interfaces for Geospatial and Migration Datasets

This project aims to design and evaluate shape-changing interfaces to facilitate the understanding of complex geospatial and migration datasets. Prior solutions offer a static or screen-based visualization that often fails to convey the multidimensional nature of these datasets in an engaging manner that, in turn, limits the users’ ability to navigate dynamic and contextual information […]

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Controlled Self-Injection Techniques for Enhanced Laser Dynamics in Silicon Photonic Systems

The growing demand for high-performance computing (HPC), artificial intelligence (AI), and cloud applications is pushing traditional semiconductor technologies to their limits. This project advances silicon photonics, which uses light for faster, more efficient, and scalable data transmission, making it critical for next-generation computing and communication systems. Focusing on hybrid quantum light sources and nonlinear optical […]

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Integrated multi-omics approach for glycosylation-based breast cancer subtyping

This project will utilise an integrated multi-omics approach for glycosylation-based breast cancer subtype discovery. Glycosylation is the process whereby carbohydrate structures are conjugated to cellular proteins and lipids, and in doing so, determines their functionality. Glycosylation is dysregulated in cancer and incorporating the glycome in cancer research has led to deeper mechanistic insight. Combining glycomic […]

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Theorizing Indigenous Group Silencing; Canadian and South African Perspectives

The proposed research project is a theoretical study on the group silencing of Indigenous communities and advocacy groups in South Africa and Canada. The aim is to look into the historical and current systems, mechanisms, and some seemingly innocent acts that silence Indigenous groups and their advocacy groups and shed light on the significance of […]

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Affective Automation: A Cross-Cultural Exploration of Emotion in Artificial Intelligence Development

This project explores the emotional and cultural dynamics of artificial intelligence (AI) development across four global sites—Canada, the UK, India, and the US—by examining how emotions shape decision-making, productivity, and well-being within distributed teams. Focusing on the workplace processes of a leading transnational AI firm, the research addresses critical industry challenges in managing intercultural collaboration […]

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Intelligent Data Framework for Crane Safety: Learning from Past Incidents to Predict Future Risks

Cranes are essential equipment in construction sites lifting and moving heavy loads. Due to the large structure, accidents can lead to significant casualties and property damage. Studies shows crane accidents are due to human error and miscommunication, and identifying the person responsible is important for preventing future accidents. A large number of reports are generated […]

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