Harnessing AIoT for Africa's Digital Development

15+

Postgraduate Researchers Supported

6

Applied Research & Innovation Projects

N$1.7m+

External Funding Secured

Who We Are

The AIoT for ICT4D Research Cluster is a multidisciplinary research and innovation platform based at the Namibia University of Science and Technology. We bring together researchers, postgraduate students, innovation champions, industry partners, government agencies and development actors to advance applied research at the intersection of Artificial Intelligence, Internet of Things and emerging technologies.


Our work focuses on practical, Africa-centred solutions that address real development priorities, including smart water systems, food security, digital governance, citizen safety, health innovation, secure communication and resilient digital infrastructure. Through projects such as Innovate4Water, Lacuna Fund AI for Plant Disease Detection, Smart Parking, Making Windhoek Safer, HASH and ACEWATER III, we translate research into prototypes, policy insight, postgraduate capacity and measurable societal value.

Our mission is to advance responsible AIoT research that transforms African Development priorities into practical, secure and scalable digital solutions, while developing the next generation of AI, IoT and Emerging Technologies Innovators.

Our AIoT4D Impact Journey

    2021

AI for Agriculture and Food Systems

Research on mobile-based plant pest and disease identification helped shape the cluster’s applied AI work in agriculture, including later AI-supported plant disease detection for Pearl Millet and Maize. The publication record includes work by Sibanda, Iyawa and Gamundani on plant pest and disease identification strategies in mobile applications.

    2022

Smart City and IoT Innovation

The cluster’s smart infrastructure work expanded through the conceptual design of a sensorless smart parking payment solution, contributing to applied IoT innovation for urban services and smart city development.

    2024

AI for Health and Secure Digital Systems

Cluster-linked research advanced machine learning applications in health risk prediction, IoT security, crime prediction and digital trust, strengthening the connection between AI research and real societal challenges. The submission lists 2024 work on diabetes prediction in PCOS patients, IoT smart office data security threats, forged academic qualification detection and crime prediction in Windhoek.

    2025

Water Security and Resource Resilience

Research expanded into non-revenue water, IoT-based leak detection and green hydrogen systems, supporting Namibia’s water, energy and resource-security priorities. Recent work includes IoT-based leak detection systems for non-revenue water reduction in Namibia.

    2026

Formalising the AIoT for ICT4D Research Cluster

NUST moved to formalise the AIoT for ICT4D Research Cluster as a recognised multidisciplinary platform for research excellence, innovation outputs, postgraduate development, external funding, industry collaboration and societal impact.

    2026

IndabaX Namibia Growth

IndabaX Namibia strengthens the cluster’s capacity-building and community engagement agenda by providing a national platform for students, researchers, innovators and industry stakeholders to engage with Artificial Intelligence and emerging technologies. In 2026, it continues to support the AIoT for ICT4D mission by showcasing student talent, encouraging applied research, strengthening partnerships and promoting locally relevant AI-driven solutions for Namibia and the wider African context.

AIoT for ICT4D Cluster Team

Prof Attlee M. Gamundani

Cluster Lead: AIoT, Cybersecurity & Emerging Technologies

Dr Simon Muchinenyika

Co-Vice Cluster Lead: IoT & Smart Systems

Ms Ndinelago Nashandi

Co-Vice Cluster Lead: AI & IndabaX Namibia Chair

Prof Hippolyte Muyingi

Adjunct Professor: Telecommunications

Prof Fungai Bhunu Shava

Researcher: Water, Data & Digital Development

Prof Colin Stanley

Researcher: Innovation, Computing & Strategic Partnerships

Prof Stephen Fashoto

Researcher: AI, Data Science & Applied Computing

Prof Jose Quenum

Researcher: Computing, Digital Innovation & ICT4D

Mr Ericky Iipumbu

Researcher:AI, Health Innovation & Applied Systems

Dr Sebastian Mukumbira

Researcher: Emerging Technologies & Digital Transformation

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