Research Domains

Computer Vision & 3D Modeling

Deep learning approaches for visual recognition, 3D scene understanding, object detection, and real-time image processing applications.

3D Reconstruction Object Detection Real-time Processing Resource-constrained AI

Multimodal AI Systems

Integration of multiple data modalities (text, image, audio) for enhanced machine learning performance in healthcare and agricultural applications.

Cross-modal Learning Medical Imaging Text-to-Speech Multi-task Models

Responsible AI & Explainability

Developing interpretable and explainable AI systems with focus on fairness, transparency, and ethical deployment.

Model-agnostic XAI Visual Explanations Fairness & Bias Interpretable ML

Edge AI Deployment

Optimizing machine learning models for deployment on resource-constrained devices with focus on developing country contexts.

Model Compression Mobile Deployment Efficient Inference Low-power AI

AI for Healthcare

Medical imaging analysis, disease detection, and healthcare accessibility solutions using artificial intelligence. Specialized in tuberculosis detection.

Chest X-ray Analysis Medical Imaging Healthcare Access Diagnostic Systems

AI for Agriculture

Precision agriculture, crop monitoring, yield prediction, and sustainable farming solutions through machine learning and drone technology.

Drone Monitoring Yield Prediction Disease Detection Precision Farming

Research Impact

Focus on real-world applications in developing countries

Healthcare Access

Improving medical diagnosis in resource-limited settings

Food Security

Enhancing agricultural productivity through AI

Education

Building AI capacity in developing countries

Sudi Murindanyi