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Henry Nunoo-Mensah

Computer Engineering

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About

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.

Research Summary

(inferred from publications by AI)

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.

Research Themes

All Papers

Transformer models for text-based emotion detection: a review of BERT-based approaches(2021)
Text‐based emotion detection: Advances, challenges, and opportunities(2020)
Comparative Analyses of Bert, Roberta, Distilbert, and Xlnet for Text-Based Emotion Recognition(2020)
Recognizing Emotions from Texts using a Bert-Based Approach(2020)
Recognizing Emotions from Texts Using an Ensemble of Transformer-Based Language Models(2021)
Multi-Agent Reinforcement Learning Framework in SDN-IoT for Transient Load Detection and Prevention(2021)
Traffic Engineering in Software-defined Networks using Reinforcement Learning: A Review(2021)
A Review of Opensource Network Access Control (NAC) Tools for Enterprise Educational Networks(2014)
An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers(2021)
Blockchain interoperability: the state of heterogenous blockchain‐to‐blockchain communication(2023)
Adaptive Storage Optimization Scheme for Blockchain-IIoT Applications Using Deep Reinforcement Learning(2022)
Blockchain-IoT peer device storage optimization using an advanced time-variant multi-objective particle swarm optimization algorithm(2022)
A Survey on Network Optimization Techniques for Blockchain Systems(2022)
An Overview of Technologies for Improving Storage Efficiency in Blockchain-Based IIoT Applications(2022)
Optimising peer-to-peer topology for blockchain-based industrial internet of things networks using particle swarm optimisation(2025)
Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review(2024)
An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm(2024)
Exploring the impact of <scp>VoiceBots</scp> on multimedia programming education among Ghanaian university students(2024)
Wavelet‐Based Feature Extraction for Efficient High‐Resolution Image Classification(2025)
The adoption of socio‐ and bio‐inspired algorithms for trust models in wireless sensor networks: A survey(2017)
Tamper‐aware authentication framework for wireless sensor networks(2017)
Comparative Analysis of Energy Usage of Hash Functions in Secured Wireless Sensor Networks(2015)
PSTRM: Privacy-aware sociopsychological trust and reputation model for wireless sensor networks(2020)
A new research agenda for African generative AI(2023)
Diversity in Stable GANs: A Systematic Review of Mode Collapse Mitigation Strategies(2025)
A Lightweight Messaging Protocol for Internet of Things Devices(2022)
A Real-Time Task Balancing Strategy for IoT Networks Using Ant Colony Optimization(2024)
A Review of Computational Load-Balancing for Mobile Edge Computing(2023)
A Survey on Deep Learning Algorithms in Facial Emotion Detection and Recognition(2022)
A Survey on Deep Learning Algorithms in Facial Emotion Detection and Recognition(2022)
A Survey of Deep Learning Techniques for Maize Leaf Disease Detection: Trends from 2016 to 2021 and Future Perspectives(2022)
Brain Tumor Segmentation using SLIC Superpixels and Optimized Thresholding Algorithm(2018)
A Survey of Trust Management Schemes for Social Internet of Things(2022)
A Survey of Trust Management Schemes for Social Internet of Things(2022)
Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques(2025)
Deep learning for efficient high-resolution image processing: A systematic review(2025)
Optic cup and optic disc analysis for glaucoma screening using pulse-coupled neural networks and line profile analysis(2018)
SMART VEHICLE IGNITION INTERLOCK: A CAR IGNITION INTERLOCK DEVICE FOR ALCOHOL IMPAIRED DRIVING(2022)
On the Number of Anchor Nodes for the Localization of Smart Energy Meters (SEM) in an African Environment(2014)
Detection of Cracks in Crankshaft Using an Intelligent Audible Sound-Based Non-Destructive Method(2021)
A Six-Port Measurement Approach for High Power Microwave Vector Network Analyzer(2021)
Front Cover Image, Volume 2, Number 7, July 2020(2020)
A SIX-PORT MEASUREMENT DEVICE FOR HIGH POWER MICROWAVE VECTOR NETWORK ANALYSIS(2022)
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Collaboration Network

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Research Collaboration Map
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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.