Exploring Origins, Training Pathways, Service Packages, Management Practices of Traditional Birth Attendants, and Service Utilization, Influencing Factors, and Experiences of Mothers in East-Central Uganda
Exploring Origins, Training Pathways, Service Packages, Management Practices

This study investigates the origins, training, service packages, and management practices of TBAs in East-Central Uganda, alongside mothers’ experiences and factors influencing service utilization. Despite a government ban, TBAs remain widely used, posing risks to maternal health outcomes. The project will generate evidence to inform culturally sensitive, cost-effective interventions, potentially repurposing TBAs as referral agents. Findings will contribute to Uganda’s Vision 2040 and SDG 3 by strengthening maternal and newborn health services and guiding policy development.

Use of Mathematical Models in Food Value Addition: Case of Cassava Flour Cake Baking
Use of Mathematical Models in Food Value Addition: Case of Cassava Flour Cake Baking

This project applies mathematical modeling to optimize cassava cake baking, improving quality, consistency, and sustainability. By refining baking parameters, the project enhances cassava’s economic value, supports food security, and aligns with Uganda’s Vision 2040 and NDP III. The outcomes include an optimized model, improved cassava products, and strengthened research capacity in food value addition.

Application of Mathematical Models in Clean Energy Production and Environmental Conservation: Case of Briquettes Making from Agro-Waste Products
Application of Mathematical Models in Clean Energy Production and Environmental Conservation:

This project applies mathematical modeling, specifically CFD, to optimize briquette production from agro-waste in Uganda. By enhancing efficiency and reducing costs, briquettes will become a viable clean energy alternative, reducing reliance on charcoal and firewood. The project supports Uganda’s Vision 2040 and NDP III by promoting sustainable energy, environmental conservation, and technological innovation.

Postharvest Handling of Vegetables and Fruits in Mbale District, Bugisu Subregion, Uganda
Postharvest Handling of Vegetables and Fruits in Mbale District, Bugisu Subregion, Uganda

This project seeks to modernize post-harvest handling of horticultural crops in Bugisu by reducing losses, improving quality, and empowering women farmers. Through training, technology adoption, and cooperative formation, the project will enhance food security, increase incomes, and improve competitiveness in regional markets. It aligns with Uganda’s Vision 2040 and NDPIII by promoting agricultural commercialization, value addition, and inclusive economic growth.

Carbonization of Domestic and Agricultural Wastes for Energy Source
Carbonization of Domestic and Agricultural Wastes for Energy Source

This project aims to carbonize domestic and agricultural wastes to produce bio-briquettes as a clean, affordable energy source. By training women and girls in Tororo and Mukono districts, the project empowers communities, reduces deforestation, improves livelihoods, and promotes environmental sustainability. The innovation aligns with Uganda’s Vision 2040 and NDP III by fostering renewable energy adoption, poverty eradication, and industrialization.

Bioprospecting for HIV-1 latency reversing agent (prostratin) from indigenous medicinal plants for latency reversal in HIV-1 subtypes A and D in Uganda (HIV-1_AD_LRA study)-PHASE-3
Bioprospecting for HIV-1 latency reversing agent

This Phase-3 study builds on earlier work to test the efficacy of PROVIRID, a herbal prototype derived from indigenous medicinal plants, in reversing HIV latency in subtypes A and D prevalent in Uganda. Using ex-vivo CD4+ T cells from HIV patients, the study will determine efficacy, profile phytochemicals, and publish findings. The project strengthens collaborations, builds research capacity, and contributes to Uganda’s Vision 2040 by advancing towards an HIV cure and promoting universal health.

Uganda food and crops drying characterisation for automation of a Day-Night solar dryer
Uganda food and crops drying characterisation for automation of a Day-Night solar dryer Add to Default shortcuts

This project seeks to characterize and automate solar drying processes for mango, beef, and cassava. By integrating sensors and microcontrollers, the dryer will automatically detect and maintain optimal moisture content, ensuring high-quality products with longer shelf life. The innovation supports Uganda’s Vision 2040 and NDP III by reducing food losses, boosting farmer incomes, and enhancing food security.

AGRO-SOIL-SMART UGANDA: Harnessing Machine Learning and Remote Sensing for Precision Soil Moisture and Nutrient Mapping
AGRO-SOIL-SMART UGANDA

The AGRO-SOIL-SMART Uganda project leverages machine learning and remote sensing to create an Android-based system for real-time soil moisture and nutrient mapping. By integrating satellite data, ground sensors, and predictive algorithms, the project will deliver actionable insights to farmers and policymakers, improving crop yields, reducing food insecurity, and supporting sustainable agriculture. The innovation aligns with Uganda’s Vision 2040, NDP III, and global SDGs, offering a scalable solution for precision agriculture in equatorial regions.

Development and Assessment of a Cascaded PCM Latent Heat Thermal Energy Storage (LHTES) Unit for Solar Crop Drying
LHTES

This project develops and evaluates a cascaded PCM LHTES unit to extend solar crop drying capacity by 11 hours, addressing inefficiencies in current systems. Through simulations, prototype development, and pilot-scale testing, the project will deliver a reliable energy storage solution that reduces post-harvest losses, supports clean energy adoption, and strengthens Uganda’s agricultural productivity. The innovation aligns with Uganda’s Vision 2040, NDP III, and global SDGs, offering sustainable benefits for farmers and the agricultural sector.

Knowledge Worker Productivity in Uganda’s Public Universities
Knowledge Worker Productivity

This project investigates how transformational leadership and knowledge management processes, mediated by innovation, influence knowledge worker productivity in Uganda’s public universities. Using a behavioral model and structural equation modeling, the study will provide empirical evidence to guide interventions, policies, and capacity-building initiatives. The outcomes will enhance productivity, innovation, and research output, directly contributing to Uganda’s Vision 2040 and NDP III objectives of socio-economic transformation through knowledge creation and application.