Research
Machine learning — constraint programming — combinatorial optimization.
Research areas
- Artificial intelligence and machine learning: design, experimentation, and evaluation of intelligent systems.
- Constraint programming: filtering algorithms, tree search, and modeling of combinatorial problems.
- Combinatorial optimization: planning, scheduling, operations research, and decision support.
- Responsible and efficient AI: fairness, interpretability, and adaptation of systems to African contexts.
Selected projects
- OpenCS4Dev — Open Computer Science for Development (since 2026): Southern coordinator; sustainable pooling of computer science learning resources between UCLouvain and the University of Abomey-Calavi. Funded by ARES, Belgium.
- ForCES (since 2026): Southern coordinator for Benin; analysis of policies and practices and co-development of a continuing professional development infrastructure for digital university pedagogy in Benin and Senegal. Funded by ARES, Belgium.
- STOP-MNT (since 2025): leader of work package 2 — AI and IoT; development of an integrated strategy for preventing non-communicable diseases in Benin. Funded by the UAC Competitive Research Fund.
- AI4CKD — Artificial Intelligence for Chronic Kidney Disease (since 2024): principal investigator; development of a system for predicting chronic kidney disease stages in the Beninese context. Funded by Google.
- Opti’Plan — Methods and tools for automatic thesis-defense scheduling (2024–2025): Southern coordinator; optimization models for large university programs in Benin. Funded by ARES, Belgium.
- IoT4Pest (since 2024): member; monitoring agricultural pests in sub-Saharan Africa using IoT sensor networks. Funded by Inria, France.
- PATH (since 2024): member; academic mobility and capacity building for young African scientists in precision agriculture. Funded by the European Union.
- AI4Cardio (since 2021): member; AI-based prevention and monitoring of cardiovascular disease in Benin and Senegal. Funded by AFD, France.
Prototypes and applied research
Video demonstrations are available on my YouTube channel.
Agriculture
- Sorghum yield prediction: estimating crop yields from drone imagery and machine learning models.
- Rice Diseases Detector: a mobile application that identifies three rice leaf diseases.
- Spodoptera frugiperda detection: locating infested maize areas using drones and machine learning.
Education
Health
- KINÉGAN: an immersive virtual environment for therapist-supervised rehabilitation exercises.
- Surgical VR: a virtual-reality laparoscopic appendectomy simulation for practical training.
Security
- NextVision: intelligent video surveillance combining computer vision, natural language processing, and real-time object detection.
- Automatic filtering of unwanted scenes: automatic detection and removal of sensitive video sequences.
Tourism, heritage, and 3D modeling
- WASETAN: a geolocated augmented tour of the Slave Route in Ouidah.
- ARGuide: an augmented-reality tourist guide to the Amazon monument in Cotonou.
- PNROuidah: an immersive web experience exploring the Door of No Return and preserving the site's memory.
- Houenouho: augmented-reality reconstructions of scenes related to the slave trade at Beninese heritage sites.
- Kondo: a web platform for reconstructing 3D models from 2D images.
E-commerce
- AI for e-commerce: predicting purchase intention from browsing data on an e-commerce platform.