Sub grantee List
Name | Title | Institution | Country | Category |
---|---|---|---|---|
Samantha Matemba | Investigating riverine flow regimes and aquatic biodiversity: A case study of Ruo river, an AfromontaneÊecosystem in Mulanje Malawi | Malawi University of Science and Technology | Malawi | Junior |
Bonface Munyoki | Unlocking Biomedical Data for AI Health Research in Africa Using GeneNetwork as an Example | Strathmore University | Kenya | Junior |
Samson Otieno | Tiny Machine Learning Based Self Diagnostic Kit for Respiratory Diseases | University of Rwanda | Rwanda | Junior |
Apolline Jennifer | Contribution of Machine Learning and Remote Sensing for improving groundwater quality assessment in Za-Kpota Municipality (southern Benin) | University of Abomey-Calavi, Institut National de l'Eau | Benin | Junior |
Saminu Mohammad | NaijaHate: A Hate and Offensive Speech Detection Model for Nigerian Languages | Modibbo Adama University of Technology | Nigeria | Junior |
Sunday Adeola AJAGBE | Development of Yorùbá and Pidgin Speech Database for Antenatal Orientation | Ladoke Akintola University of Technology | Nigeria | Junior |
Angela Mwongeli | Tree disease forecasting for sustainable development and climate change mitigation | Kenya Forestry Research Institute | Kenya | Junior |
Wayne Steven | A Robust Cost-Effective Machine Learning-Based Diagnostics Tool for Bean Plants Diseases | Makerere University, Marconi Society Machine Learning Lab | Uganda | Junior |
Mercy Mawia | Explainable Machine Learning Approach On Sensor Based Human Gait Analysis for Assistive Device Model Prediction and 3d Design | Jomo Kenyatta University of Agriculture and Technology | Kenya | Junior |
Edna Serah | A GIS Approach for the Identification and Digitization of Fish Farms in Central and Western Kenya for Sustainable Production and Management | Kenya Agricultural and Livestock Research Organization | Kenya | Junior |
Emmanuel Annor | Revisiting the application of extreme value theory to the management of a hydroelectric dam | University of Ghana | Ghana | Junior |
Rosemary Noeline | An Edge AI Based Smart Irrigation System | University of Rwanda | Rwanda | Junior |
Yimer Assefa | Evaluation of the Skill of Seasonal Precipitation Forecasts from Global Prediction Systems over Ethiopia | University of Nairobi | Kenya | Junior |
Godliver Owomugisha | Development of 3-D smartphone add-on spectrometer for field-based early detection of disease | Makerere Artificial Intelligence Lab, School of Computer & Information Sciences | Uganda | Early Career (Project Extension) |
Mohamed A. ElHelw | Rice Plant Water Stress Detection and Geolocalization by Deep Fusion of Ground and Satellite Multispectral Imagery | Nile University | Egypt | Early Career (Project Extension) |
Andualem Aklilu | Developing Reliable Wheat Yield Prediction Method through Integration of Automated Machine Learning Methods with Crop Models and Bio-physical Predictors. | Vision Food and Agricultural Policy | Ethiopia | Early Career (Project Extension) |
Ahmed Kehinde Usman | Application of Spectral Analysis Technique and Machine Learning in Evaluation of Geothermal Energy Resource Potential in North - Eastern Nigeria | Ahmadu Bello University | Nigeria | Early Career |
Sharon Kiprotich | Preparation and investigation of multifunctional materials based on transparent conducting oxides for possible solar cell application | Murang&pos;a University of Technology | Kenya | Early Career |
Helena Maziku | The role of AI in Detection and Prediction of Advanced Persistent Threats (APTs) in Distributed Workforces | University of Dar es Salaam | Tanzania | Early Career |
Alcardo Alex Barakabitze | Sustainable Smart Farm - Scale Crops Yield Prediction using Machine Learning in Internet -of-Agro-Things in Tanzania | Sokoine University of Agriculture | Tanzania | Early Career |
Kadeghe Fue | Prediction of the Rain-fed Maize Yield in Tanzania using Time-series Machine Learning Models (TanPredikt) | Sokoine University of Agriculture | Tanzania | Early Career |
Lighton Phiri | Enterprise Medical Imaging: Automatic Classification of Radiological Medical Images for Efficient and Effective Radiological Workflows in Public Health Facilities | University of Zambia | Zambia | Early Career |