The second cohort of 9 Artificial Intelligence for Development in Africa (AI4D Africa) scholarship programme are now on board. This brings the total number of scholars in the programme to 30, including 16 who joined in the first cohort.
It aims is to foster the talent needed to meet a growing demand for research and development in responsible Artificial Intelligence (AI) in African public universities. The programme targets registered PhD students who have finished course work as well as research proposals with special attention given to women candidates who have completed MSc in areas relevant to AI and Machine Learning and wishing to pursue PhDs studies.
Preference is also given to low-income countries which are not endowed with universities that can offer PhD in AI and Machine Learning. Early Career Academics (ECA), mainly those who have completed their doctoral studies, are also supported to become fully-fledged, independent, and competent researchers. This is done through capacity building, mentorship and interaction with peers.
In addition, the programme offers a series of complementary activities to build the capacity of beneficiaries. These include short-courses, PhD Academy, quarterly seminars, annual workshops, regional conferences and online training workshops for supervisors and PhD mentoring.
The programme is also enhancing the capacities of the existing ICT departments to offer MSc and PhD in AI and ML through research tools such as data bases, GPUs and related infrastructure for AI and ML will be required.
This not only facilitates the research activities of the ECA and consequently enhance career progression, but also enhance their recognition within the departments, particularly if these infrastructures are made available to other postgraduate students and final year undergraduate students within the departments.
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Tiomela Lontsi Brice Borel
Research area: Automatic generation of biomedical image captions (Biomedical images captioning).
University of Yaounde, Cameroun
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Dr. Sosdito Estevao Mananze
Research area: Application of Artificial Intelligence to optimize cultural operations in Agriculture in Mozambique.
Eduardo Mondlane University - Higher School of Rural Development, Mozambique
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Reine Clarisse Djamkou
Research area: School curriculum and learning contents matching using machine learning algorithms.
University of Yaounde I, Cameroun
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Christian Leigh Noudjimti
Research area: Development of numerical and statistical methods for weather prediction for intelligent management of electrical networks with a high rate of renewable energy.
University of N’Djamena, Tchad
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Alagah Komlavi Atsu
Reseach area: Development of an Intelligent System for the Management of Agricultural Crop Diseases for Sustainable Development in Niger.
Abdou Moumouni University of Niamey, Niger
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Dr. Ugochi Adaku Okengwu
Research area: An AI enhanced detection and treatment of tomato plant diseases in Africa.
University of Port Harcourt, Nigeria
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Mushagalusa Ciza Arsene
Research area: Practical use of Random Forest regression for predicting disease vector abundance: application to the abundance of Rhipicephalus appendiculatus in permanent livestock pastures.
University of Abomey-Calavi, Benin
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Dr. Sónia Semedo
Research area: The use of artificial intelligence in mitigating crop losses.
University of Cape Verde
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Dr. Thomas Messi Nguelé
Research area: Using Machine Learning Algorithms for Efficient Complex System Analysis on Multi-core architectures.
University of Yaounde I, Cameroun
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