Research

Projects

Collaborative research projects across our five thematic areas — from active investigations to completed work with published outcomes, software and datasets.

Open for collaboration

Projects looking for people

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Recruiting Data Science

Data-Driven Estimation of Carbon Sequestration Value for Climate Change Mitigation and Land Restoration in Sub-Saharan Africa

A machine learning framework using freely available satellite, soil, and climate data to estimate land-level carbon sequestration potential, converting environmental restoration into quantifiable economic value to support climate finance and offset markets.

Data Scientist Machine Learning Engineer Environmental Economist Charles Anukwonke Up to 6

Recruiting Artificial Intelligence

MicroScan AI: Artificial Intelligence for Microplastic Detection and Classification

MicroScan AI investigates the use of artificial intelligence and computer vision to identify and classify suspected microplastics from microscopy images. The project aims to develop a scientifically validated, reproducible, and accessible AI-assisted platform for environmental research, education, and community-based microplastic monitoring.

Benjamin Quito

Recruiting Artificial Intelligence

CAL-AI: Agentic AI-Based Intelligent Academic Calendar and Dynamic Scheduling System

System uses AI agents to automatically schedule and reschedule classes, meetings, exams, and academic activities by considering availability, priorities, resources, and conflicts in real time.

Students AI Engineers AI Researchers Sarfraz Hussain

Recruiting Natural Language Processing

Development and Evaluation of Large Language Models for Under-resourced Ethiopian Languages

This research proposes developing and evaluating a multilingual Large Language Model (LLM) for under-resourced Ethiopian languages. It focuses on building quality multilingual datasets, improving model training through techniques such as transfer learning and fine-tuning, and evaluating performance across tasks including translation, question answering, summarization, text generation, and sentiment analysis. The study also addresses fairness, hallucination, cultural accuracy, code-switching, dialect variation, and limited data. The expected result is an open, reproducible framework with datasets, benchmarks, methodologies, and a prototype Ethiopian-language LLM that can support inclusive AI, education, digital language preservation, and public services.

Data Annotation Data Preprocessing Esubalew Asmare

Current Projects

Internet of Things

Converging Federated Learning, Edge Intelligence and Situational Awareness for Privacy-Preserving IoT Security: A Vision and Research Agenda

This research explores the convergence of Federated Learning, Edge Intelligence, Situational Awareness, and IoT security as a pathway towards privac…

30% complete · Lead: Chijiuka Akuma · Since Sep 2026

Completed Projects

No completed projects yet.