CMU-Africa faculty are involved in research that is shaping the digital future of the continent. Students are encouraged to participate in research projects in order to gain unique experience outside the classroom.
To apply for a research position, please review the open projects and reach out to the principal investigator with your interest.
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Agricultural Data from Acoustic Monitoring (ADAM)
The motivation for this project is the critical need to improve general farming practices in Rwanda and elsewhere in East Africa.
Agricultural Data from Acoustic Monitoring (ADAM) Project Details
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AI-based Digital Twins for African Cities: Modeling Pedestrians, Bicycles, Moto-Taxis, Cars, Buses and Beyond
This project focuses on creating digital twins of African cities to model and simulate the dynamics of urban mobility
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Applications for Rwandan Children's Online Safety
The high rates of maternal mortality in Africa can be addressed by improving maternal knowledge on obstetric danger signs.
Applications for Rwandan Children's Online Safety Project Details
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Automated Aquaculture: Computer Vision/IoT-Enabled Fish Feeding
Automated Aquaculture aims to outfit Africa's fish farms with computer vision and IoT-controlled auto-feeders.
Automated Aquaculture: Computer Vision/IoT-Enabled Fish Feeding Project Details
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Birds’ Detector and Repellent System for Large-scale Smart Farming
This project aims to develop a real-time bird detection and repellent system designed to protect agricultural fields.
Birds’ Detector and Repellent System for Large-scale Smart Farming Project Details
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Culturally Sensitive Social Robotics for Africa (CSSR4Africa)
CSSR4Africa is a three-year research project to develop culturally sensitive social robotics for Africa.
Culturally Sensitive Social Robotics for Africa (CSSR4Africa) Project Details
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Culturally-Adapted Gamified Cybersecurity Education for Neurodiverse Children in East Africa
This research seeks to develop and assess a gamified, interactive cybersecurity education curriculum for neurodiverse children in East Africa.
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Designing Maternal Health Apps for the African Context
The students working on this project will be conduct a literature review and develop and validate low-fidelity and high-fidelity prototypes.
Designing Maternal Health Apps for the African Context Project Details
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Digital Foundations for Sustainable Transportation
We will gauge the applicability of various intelligent transport / e-mobility systems in different socio-economic contexts.
Digital Foundations for Sustainable Transportation Project Details
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Digital Malaria Control for the Developing World
The project employs machine-learning classification methods on microscopic images of blood smears to detect malaria parasites and mixed infections.
Digital Malaria Control for the Developing World Project Details
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Enhanced CVD Discovery in Medically Underserved Communities via AI-assisted Stethoscopy
This research aims to enhance the diagnostic capabilities of electronic stethoscopes.
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Enhancing Parents’ Reporting and Prediction of Adverse Effects following Maternal and Child Immunization in Rwanda through Mobile Application
This project will strengthen vaccine safety monitoring and improve public health outcomes in Rwanda.
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Evading AI-based Radar Detection
Machine learning methods have been used to detect objects behind walls. Can we develop a method that would evade AI detection?
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Leveraging Large Language Models for Enhancing Public Healthcare
When is it useful to use LLMs to address critical healthcare challenges in underserved communities?
Leveraging Large Language Models for Enhancing Public Healthcare Project Details
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LLMs for Maternal Health Question-Answering and Complications Detection
The high rates of maternal mortality in Africa can be addressed by improving maternal knowledge on obstetric danger signs.
LLMs for Maternal Health Question-Answering and Complications Detection Project Details
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ML-accelerated Prediction of Thermoelectric Semiconductors from Locally Sourced Wolframite
This project will maximize the thermoelectric efficiency of wolframite materials AWO(4) using ML-accelerated atomistic simulations
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Robust Machine Learning Methods for Poverty Targeting
This project will test whether methods from the ML robustness literature can improve the temporal robustness of a proxy means tests.
Robust Machine Learning Methods for Poverty Targeting Project Details
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Rural Connectivity
Digital divide in rural African communities is still a key factor hindering communication due to limited resources.