Connecting Intelligence for African Development
The AIoT for ICT4D Research Cluster at the Namibia University of Science and Technology is an interdisciplinary research unit leveraging Artificial Intelligence, the Internet of Things, and emerging technologies for sustainable African development
Our rigorous interdisciplinary research translates cutting-edge AI and IoT technologies into practical solutions for Africa's developmental challenges.
From smart water metering to healthcare AI, our research projects are designed to create measurable improvements in public services and quality of life.
We foster multi-stakeholder partnerships across academia, industry, government, and international organisations to accelerate innovation and capacity development.
Turning Research into African Impact
At the AIoT for ICT4D Research Cluster, we are pioneering interdisciplinary research that harnesses the convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and emerging technologies to address Africa's most complex developmental challenges. Our work translates cutting-edge innovation into practical solutions that improve public services, strengthen digital governance, and foster economic growth across the continent.
We are committed to the principle that technological innovation is a public good—one that must translate into practical safeguards, policy influence, and tangible capacity development. Through robust collaboration with industry partners, government agencies, international organisations, and community stakeholders, we transform research into real-world impact that benefits all Africans.
Featured Research & Projects
RESEARCH PROJECT
Reimagining Urban Water Security
Leveraging AI and IoT to detect leaks, reduce water loss, and ensure equitable access to clean water across Namibia's urban centres.
HEALTHCARE AI
ML for Gestational Hypertension Risk
Applying machine learning to identify teenage patients at risk of gestational hypertension, enabling early intervention and better maternal health outcomes.
AGRITECH
AI for Plant Disease Detection
Using machine learning to identify pearl millet and maize diseases, empowering smallholder farmers with early warning systems and crop protection strategies.
EMERGING TECHNOLOGIES
AI, IoT & Emerging Tech for Critical Infrastructure
Leveraging AI, IoT, blockchain, and emerging technologies to develop hybrid security models that safeguard national critical infrastructure from evolving cyber threats while enhancing operational resilience and efficiency.
SMART CITIES
IoT-Based Smart Parking System
Developing an intelligent, sensorless parking payment solution for the City of Windhoek to reduce congestion and improve urban mobility.
WATER TECH
ACEWATER III: Water Sciences
Leading Work Package 5 in a 20-institution African consortium advancing water sciences and technology through AI and IoT innovation.
Discover our full portfolio of research projects
Developing Africa's Next Generation of Researchers
“The cluster's commitment to African-centred innovation and its strong international collaborations provided me with unique opportunities to grow as a researcher. I am now contributing to the security of national critical infrastructure, thanks to the foundation built during my doctoral studies.”
Dr Mamoqenelo P. Morolong
PhD Graduate (2026) | Hybrid ML Security for Critical Infrastructure
“Working within the cluster allowed me to explore the intersection of blockchain, machine learning, and smart water systems. The interdisciplinary approach and industry partnerships gave my research real-world relevance and impact. I'm proud to be part of this pioneering team.”
Dr Maria Nelago Kanyama
PhD Graduate (2025) | Lightweight Blockchain for Smart Water Metering
“The AIoT for ICT4D Research Cluster provided me with an unparalleled research experience. The supervision, resources, and collaborative environment enabled me to complete my PhD and contribute meaningfully to the field of child online protection. I am now equipped to make a real difference in digital safety across Africa.”
Dr Timothy Dongo
PhD Graduate (2025) | NLP for Child Online Protection
Meet Our Research Leadership Team
Prof Attlee M. Gamundani
Cluster Lead · AI · IoT · Cybersecurity
Dr Simon Muchinenyika
Co-Vice Cluster Lead (IoT) · Smart Cities
Ms Ndinelago Nashandi
Co-Vice Cluster Lead (AI) · IndabaX Namibia Chair
Prof Hippolyte Muyingi
Adjunct Professor · Telecommunications