Associate Professor Hamada participated in the Africa Technology Afretech Event, held at Carnegie Mellon University Africa in the city of Kigali, Rwanda. This high-impact event brought together leading researchers and innovators committed to developing technology-driven solutions that enhance global human well-being.
At the event, we presented our project, which focuses on the design and deployment of underwater sensing and artificial intelligence technologies to address waterborne diseases and epidemics—a persistent public health issue affecting more than 280 million people across Africa. The project supports the United Nations’ “Leave No One Behind” agenda and contributes to the realization of the Sustainable Development Goals (SDGs).
This initiative represents a multidisciplinary and international collaboration among experts from Egypt, Senegal, Kenya, and Japan. The system has been successfully deployed in multiple lakes and rivers in Burkina Faso, and the outcomes have already resulted in publications in peer-reviewed international journals.
Following the presentation, the project garnered interest from several international organizations and was featured in media coverage, underscoring the essential role of cross-border collaboration, applied research, and emerging technologies in tackling real-world challenges, particularly in underserved regions.
Related Publications are listed below.
- Mohsen, Mohamed, Hamada Rizk, and Moustafa Youssef. "Enhancing Water Quality Predictions with Transformers for Schistosomiasis Management." Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies. 2024. https://dl.acm.org/doi/10.1145/3681768.3698503
- Mohamed Mohsen, Hamada Rizk, and Moustafa Youssef. "Efficient Real-Time Water Monitoring for Schistosomiasis Control with a Fourier Network". 26th IEEE International Conference on Mobile Data Management (MDM). IEEE, 2025., to appear
- Mohamed Mohsen, Hamada Rizk, Moustafa Youssef. "AquaFed: Leveraging Federated Learning for Real-Time Schistosomiasis Prevention Through Water Quality Monitoring". The 22nd IEEE International Conference on Ubiquitous Intelligence and Computing, (Acceptance rate 23%), to appear
