RESEARCH PROJECTS
Exploring the frontiers of computational intelligence through real-world applications and groundbreaking research implementations.
SwarmEpi: Decentralised Epidemic Tracker
A real-time epidemic tracking platform using swarm-optimised agent-based models, piloted across 5 regions of Ghana with the Ghana Health Service. Generates 14-day disease spread forecasts 40% more accurate than traditional models.
FedHealth: Federated Health Intelligence Network
Connects 12 district hospitals in a federated learning network, enabling joint training of disease prediction models on EHR data without raw patient data leaving each hospital.
VaxRoute: Vaccine Cold-Chain Optimisation
Reinforcement learning agents that dynamically re-route vaccine distribution during supply disruptions, reducing cold-chain wastage by an estimated 23% in Ghana's Northern Region.
ZKBio: Zero-Knowledge Biometric Authentication
A proof-of-concept authentication system using zero-knowledge succinct proofs to verify fingerprint and iris matches without ever exposing raw biometric templates to a server.
CropSense: Smallholder Crop Health Monitoring
End-to-end platform ingesting multi-spectral drone imagery and soil sensor data to map crop stress, nutrient deficiency, and yield potential at 10 cm resolution across smallholder plots.
YieldCast: Pan-Africa Yield Prediction Network
Ensemble learning framework combining satellite phenology, weather station data, and farmer survey inputs to produce district-level crop yield forecasts for staple crops across 8 African countries.
EdgeSight: Low-Power Detection Framework
A family of quantised YOLO-variant models and inference runtimes enabling real-time object detection on Raspberry Pi 4 and similar edge hardware for wildlife monitoring and agricultural scouting.
Scene3D: Neural Radiance Field Reconstruction
NeRF and Gaussian-splatting pipeline for rapid, photorealistic 3D scene reconstruction from smartphone video, with applications in cultural heritage digitisation and remote infrastructure inspection.
MetaAdapt: Cross-Domain Few-Shot Learning
Meta-learning framework enabling rapid fine-tuning of large foundation models to new health and agricultural tasks with as few as 5–10 labelled examples per class.
FairML: Algorithmic Fairness Auditing Suite
Toolchain for automated bias detection, causal attribution, and counterfactual explanation generation for ML models deployed in high-stakes African institutional contexts.
DroneMesh: Multi-UAV Disaster Response Swarm
Decentralised swarm of 20+ UAVs that coordinate search-and-rescue operations in GPS-denied post-disaster environments using only local communication and stigmergic shared maps.
GridSwarm: Distributed Energy Network Optimisation
Swarm-optimised demand-response and fault-isolation agents deployed on a microgrid testbed at the University of Ghana, reducing peak load variance by 31%.