Henry Nunoo-Mensah
Department of Computer EngineeringSocial SciencesHealth SciencesPhysical SciencesLife Sciences

Henry Nunoo-Mensah

0 Publications30 Research Themes
Research Overview & Focus

The researcher's overall research focus is a comprehensive exploration of advanced computational methods and data analysis techniques across diverse scientific domains, aiming to address challenges in areas such as smart energy systems, networks, healthcare, biology, and technology innovation. The work spans themes like sentiment analysis, software-defined networking, network security, blockchain applications, AI in various fields (e.g., smart agriculture, cancer detection), IoT technologies, and energy management. These studies collectively highlight the integration of innovative computational tools across different disciplines to enhance problem-solving and technological solutions.

Faculty Biography

Ing. Dr. Henry Nunoo-Mensah is a Professional Engineer and Senior Lecturer in the Department of Computer Engineering at Kwame Nkrumah University of Science and Technology (KNUST), Ghana. He is widely recognized for his leadership in Artificial Intelligence (AI), Internet of Things (IoT), and digital innovation, with a strong focus on translating advanced research into practical solutions that address pressing societal challenges.Dr. Nunoo-Mensah leads the AI in Health Theme of the Responsible AI Lab (RAIL-KNUST), a multidisciplinary initiative funded by IDRC and GIZ that drives research and capacity building in AI ethics, governance, and applications for sustainable development. He also leads the Connected Devices (CoDe) Lab and serves as Training and Programmes Coordinator at the DIPPER Lab, where he spearheads projects in wireless sensor networks, IoT, and smart systems. Additionally, he is MSc Programmes Coordinator for the World Bank-supported KNUST Engineering Education Project (KEEP) and a Research Fellow at the Brew-Hammond Energy Centre. He led the team that formulated the FACETS Responsible AI Framework for regulating AI innovations within the AI4D African Initiave Ecosystem and beyond.His research interests include artificial intelligence and machine learning, AI for healthcare diagnostics, blockchain-enabled systems, algorithms design and optimization, computer security and IoT, and wireless sensor networks. With over 2000 academic citations, Dr. Nunoo-Mensah has led and contributed to the development of AI diagnostic platforms (IntelliDiag), rare-disease clinician support tools (Care4Rare), document intelligence systems (ZebraChat), and blockchain-based DeFi identity platforms (AfriLink). Dr. Nunoo-Mensah has attracted significant international funding for research and innovation. He is Co-Investigator on the AI for Sustainable Development project (€1,000,000, French Government through the French Embassy, Ghana) and has co-led two African Agriculture Knowledge Transfer Partnerships (KTP) 2023–24 R1 funded by UK Research and Innovation (UKRI), with grants of £247,166 (Grant No. 13710) and £249,602 (Grant No. 13704) in partnership with Aston University, KNUST, Tropical Growers, and SAYeTech. He is also Co-Investigator on the Data Science for Child Health Now in Ghana (DS-CHANGE) project ($349,854, Fogarty International Center at the U.S. NIH, 2021–2026, Grant No. 1U2RTW012129-01). Under his coordination, the Responsible Artificial Intelligence Lab – KNUST (RAIL-KNUST) has secured an IDRC AI4D Africa Grant (CAD 550,000, Grant No. 81280702) and a GIZ Fair Forward AI Grant (€306,884.60, Grant No. 109832-001). The RAIL-KNUST has also been able to secure about CAD 1,500,000.00 for it's phase II activities from IDRC and FCDO.Dr. Nunoo-Mensah has received national and international recognition for his contributions to AI research and capacity building. His leadership has positioned KNUST at the forefront of responsible AI development in Africa, while his innovative platforms demonstrate a rare ability to move from research to real-world impact.He teaches courses in Computer Networking, Distributed Systems, Digital Systems Design, Artificial Intelligence, and IoT, and supervises both undergraduate and postgraduate research. He has also developed curricula and short-course modules in digital technologies, AI ethics, and applied machine learning, training the next generation of African engineers and researchers.Beyond academia, he consults for local and international organizations on AI, digital governance, and innovation strategy. He actively engages in multi-stakeholder collaborations, bringing together researchers, industry partners, and policymakers to shape Africa’s digital transformation agenda.

Key Research Themes (30)
Social Sciences

Access Control and Trust

Health Sciences

Advanced Breast Cancer Therapies

Physical Sciences

AI in cancer detection

Physical Sciences

AI in Service Interactions

Physical Sciences

Autonomous Vehicle Technology and Safety

Physical Sciences

Blockchain Technology Applications and Security

Life Sciences

Brain Tumor Detection and Classification

Social Sciences

Cultural Industries and Urban Development

Health Sciences

Diabetic Foot Ulcer Assessment and Management

Social Sciences

E-commerce and Technology Innovations

Social Sciences

Emotion and Mood Recognition

Physical Sciences

Energy Efficient Wireless Sensor Networks

Physical Sciences

Energy Load and Power Forecasting

Physical Sciences

Generative Adversarial Networks and Image Synthesis

Health Sciences

Glaucoma and retinal disorders

Physical Sciences

ICT in Developing Communities

Physical Sciences

Image Retrieval and Classification Techniques

Physical Sciences

Indoor and Outdoor Localization Technologies

Physical Sciences

Induction Heating and Inverter Technology

Physical Sciences

IoT and Edge/Fog Computing

Physical Sciences

Mechanical Failure Analysis and Simulation

Physical Sciences

Microwave and Dielectric Measurement Techniques

Physical Sciences

Network Security and Intrusion Detection

Physical Sciences

Opportunistic and Delay-Tolerant Networks

Physical Sciences

Security in Wireless Sensor Networks

Physical Sciences

Sentiment Analysis and Opinion Mining

Life Sciences

Smart Agriculture and AI

Physical Sciences

Smart Grid Energy Management

Physical Sciences

Software-Defined Networks and 5G

Physical Sciences

Vehicle Noise and Vibration Control

Publications (0)
No individual publication records found for this researcher.
Academic Metrics
DepartmentDepartment of Computer Engineering
Total Publications0
Research Themes30
Open Access Papers0

Department of Computer Engineering

Kwame Nkrumah University of Science and Technology

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