Fred Kyeyune
ID: UNCST-2025-R021753
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Evaluating non-subtype B HIV-1 reservoirs in patients with persistent low-level viremia Populations
REFNo: HS7152ES
Objectives:
Main Objective
1. The major goal of this study is to comprehensively characterize the latent HIV-1 reservoir in PLHIV who exhibit pLLV and are infected with non-subtype B viruses.
2. Estimate the inducible reservoir through envelope detection by induced transcription-based sequencing (EDITS) assay after CD4+ stimulation at baseline and 9 months.
3. Quantify cell-associated env RNA as a marker of ongoing replication at baseline and 9 months.
4. Assess reservoir clonality via near full-length sequencing and integration site analysis at baseline and 9 months.
Specific Objectives
1. Determine HIV-1 subtypes and co-receptor tropism through envelope gene sequencing at baseline and 9 months.
2. Assess drug resistance evolution via proviral DNA and plasma RNA sequencing at baseline and 9 months.
3. Monitor viral load and Tenofovir (TDF) drug levels to confirm adherence and persistence of LLV at baseline and 9 months.
4. Evaluate immune status by measuring CD4/CD8 counts and markers of activation, inflammation, and exhaustion at baseline and 9 months.
5. Measure intact proviral genomes using Intact Proviral RNA Assay ( IPDA) in CD4+ cells at baseline and 9 months.
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2026-03-10 10:44:52 |
2029-03-10 |
Medical and Health Sciences |
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Non-degree Award |
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KIRUNGI RICHARD
ID: UNCST-2019-R001816
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A MACHINE LEARNING-BASED ANOMALY DETECTION MODEL FOR ENHANCING INTRUSION DETECTION AND PREVENTION
ON UNIVERSITY NETWORK
REFNo: SIR622ES
1. To analyze and determine the challenges associated with Distributed Denial of Service and ARP-based cybersecurity threats encountered on the university network.
2. To evaluate the effectiveness of machine learning algorithms in detecting the DDoS and ARP-based cybersecurity threats identified in Objective 1, while identifying the limitations of traditional intrusion detection systems on the university network.
3. To develop a machine learning–based anomaly detection model for identifying DDoS and ARP-based threats on the university network identified in objective (1).
4. To validate the accuracy and effectiveness of the proposed machine learning–based intrusion detection and prevention model in analyzing real-time traffic on the university network.
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Uganda |
2026-03-10 10:43:27 |
2029-03-10 |
Engineering and Technology |
Non-Clinical Trial |
Degree Award |
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Martin Ariapa
ID: UNCST-2021-R013296
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The drivers of teacher wellbeing and retention in contexts of protracted violence and displacement
REFNo: SS4796ES
Study objectives
To identify effective strategies for supporting teacher wellbeing and strengthening teacher retention in crisis-affected regions of Uganda.
Specific objectives
1. To examine how teachers and informal community networks mitigate the effects of violent conflict, displacement, and related crises on teacher wellbeing and retention in Uganda.
2. To analyse the role of school leadership and sub-national education governance mechanisms in supporting teacher wellbeing and retaining teachers in crisis-affected contexts.
3. To assess how institutionalised peer-based professional support and teacher professional development contribute to strengthening teacher wellbeing and retention in crisis-affected settings.
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Uganda |
2026-03-10 10:39:05 |
2029-03-10 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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Brian Otaalo
ID: UNCST-2025-R022795
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Exploring Antibiotic Prescribing Behavior Among Healthcare Providers in HIV Clinics: A Qualitative Study in Uganda.
REFNo: HS7056ES
1. To explore the determinants of health workers’ antibiotic prescribing behavior in HIV health care settings in Kampala, Uganda.
2. To explore healthcare workers’ views and ideas for potential antimicrobial
stewardship interventions in HIV health care settings in Kampala, Uganda.
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Uganda |
2026-03-03 12:56:39 |
2029-03-03 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Richard Ssewakiryanga
ID: UNCST-2026-R023427
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The Impact of Digital Tax Stamp (DTS) in Uganda
REFNo: SS4777ES
1. Access the legal, regulatory, and institutional framework governing DTS.
2. Evaluate the effects of DTS on revenue, compliance, and enforcement outcomes across covered products, and
3. Examine the effectiveness of DTS in addressing countering smuggling and illicit market practices.
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Uganda |
2026-03-03 12:53:55 |
2029-03-03 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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Jacinta Namakoye
ID: UNCST-2025-R016920
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MACHINE LEARNING MODEL FOR PREDICTION OF CHOLERA IN RUBAGA DIVISION, KAMPALA DISTRICT
REFNo: HS6964ES
i. To analyze the key predictors influencing cholera outbreaks in Rubaga division
ii. To develop machine learning models that generate early-warning predictions of cholera outbreaks to support public health decision-making in Rubaga division
iii. To evaluate the predictive performance and accuracy of the developed models
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Uganda |
2026-03-03 12:52:00 |
2029-03-03 |
Medical and Health Sciences |
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Degree Award |
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Bambeiha Asiimwe Stephen
ID: UNCST-2024-R003555
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Mapping HIV and AIDS research in Uganda based on the national HIV and AIDS research agenda
REFNo: HS6892ES
1. To map completed, ongoing and planned HIV and AIDS research in Uganda in the period of 2015-2025 by the thematic areas of the national HIV and AIDS research agenda
2. To explore challenges and opportunities for the generation and application of HIV and AIDS knowledge in Uganda
3. To explore opportunities for linkages and collaborations across local governments, Universities, and communities that can support better generation and application of HIV and AIDS knowledge
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Uganda |
2026-03-03 12:48:22 |
2029-03-03 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Godfrey Kubiriza Kawooya
ID: UNCST-2024-R003138
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An investigation of the development of Nutrient-Enriched Protein Food Products from Stunted Fish, Insects and Spirulina for Improved Nutrition among School-going Adolescents
REFNo: A732ES
Overall Objective
The aim of the study is to evaluate the potential of the non-conventional protein sources as ingredients for production of affordable protein-rich products to improve nutrition of school-going adolescents.
Specific objectives
1. To characterize the nutritional profiles of developed composite protein-enriched products (bars, soups, baghia) developed from crickets, small-sized (stunted) Nile tilapia and spirulina.
2. To evaluate the safety (microbial, and chemical) of the bars, soups and baghia
3. To assess the acceptability of the bars, soups and baghia
4. To determine the shelf life of the bars, soups, and baghia
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Uganda |
2026-03-03 12:46:51 |
2029-03-03 |
Agricultural Sciences |
Non-Clinical Trial |
Non-degree Award |
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simpson kamugisha
ID: UNCST-2024-R003681
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A Pilot Qualitative Study of the Lived Experiences of Boda Boda Drivers in Uganda
REFNo: SS3731ES
1. What are the experiences of boda boda drivers with medical care after traffic accidents?
2. 2. How do boda boda drivers care for their mental well-being after serious traffic accidents?
3. 3. What protective factors support the health and wellness of boda boda drivers when faced with adversity?
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Uganda |
2026-03-03 12:45:20 |
2029-03-03 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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Solomon Lukoda
ID: UNCST-2025-R023096
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RISE Uganda Context Analysis & Learning Support
REFNo: SS4837ES
1. Context Analysis: This scoping study will be conducted in Uganda to provide insights to the Foundation and its partners in the planning phase of the pilots.
2. Learning Support: This is aimed at filling existing knowledge gaps, facilitating learning and setting up adaptive management processes for the Foundation and its partners as the programme reaches the implementation stages, that will inform adaptation in existing countries and roll out to new countries.
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Uganda |
2026-03-03 12:43:00 |
2029-03-03 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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