James Ben Hayfron-Acquah

Computer Science

About

Prof James B. Hayfron-Acquah is the Head of the Department of Computer Science. He had his first degree from the Kwame Nkrumah University of Science and Technology (KNUST) in Computer Science in the year 1991. He then proceeded to have his Master degree at the Shanghai University of Science and Technology (SUST), Shanghai-China in Computer Science and Application in 1996. He obtained his PhD in 2003 from Southampton University in the UK. He joined KNUST in March 1996 as a lecturer. He was promoted to a Senior Lecturer in the year 2004 and to Associate Professor in 2015.Since joining KNUST, he has been a Head of Department cumulatively for about a decade and has served on several university committees.His research interest area includes Image Processing, Gait Recognition (Biometrics), Computer Programming, Cloud computing, etc. He has so far graduated six PhD holders over the past five (5) years and several MSC/MPhil students. He is currently supervising several postgraduate students. He has several publications to his credit.Some of his awards include but not limited to the Emerald Highly Recommended Award, 2004 for the publication: Nixon, M. S. J. N. Carter, M. G. Grant, L. Gordon and Hayfron – Acquah, J. B, Automatic Recognition by Gait: progress and prospects. Sensor Review, 24(3), pp. 323 – 331, 2003. Commonwealth Scholarship, 1999-2003, administered by the scholarship secretariat, Accra to pursue a Doctorate programme in Computer Science at the University of Southampton, Southampton -United Kingdom, Ghana – China government scholarship, 1993-1996 administered by Scholarship Secretariat, Accra to pursue Master’s degree programme in Computer Science at the Shanghai University of Science and Technology, Shanghai-China.Some of his achievements are:Consultant for the National Accreditation Board on Programme Accreditation in Computer Science and related programmes since 2004. Has also been involved with Academic Auditing of Tertiary Institutions in the country. United Nations Development Programme (UNDP-Ghana) on Implementing a Computerised National Firearms Registry System Software (Contract Number 2007/SSA/000106)Member, Assessment of conversion of Accra, Cape Coast and Takoradi Polytechnics into Technical UniversitiesMember of a 4-member committee that developed a proposal for UNESCO-HEWLETT PACKARD PROJECT, March-June 2017Member of a 4-member sub-committee on Exhibition of the 1st African Regional Conference of Vice-Chancellor, Provosts, and Deans of Science, Engineering, and Technology: (COVIDSET 2005), Oct – Nov. 2005He worked with other members from the Engineering Department of KNUST in handling the Y2K problem for the Electricity Company of Ghana.Associations/Affiliations (Contribution and Current Position):The British Machine Vision AssociationUnited Kingdom

Research Summary

(inferred from publications by AI)

The researcher has conducted extensive research across multiple domains, focusing primarily on advancing computational techniques and their applications in real-world problems. Their work spans artificial intelligence in healthcare, smart agriculture, biometrics identification, financial risk prediction, network security, data modeling, and more. Key themes include the development of novel algorithms for improving performance metrics in various fields, advancements in image enhancement and processing techniques, and innovations in data security and privacy. The researcher has demonstrated a commitment to advancing both theoretical foundations and practical applications across these areas, with contributions spanning topics from natural language processing to social sciences.

Research Themes

All Papers

Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems(2023)

A systematic review of prediction accuracy as an evaluation measure for determining machine learning model performance in healthcare systems(2023)

Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Models(2023)

Chronic disease treatment default prediction with random sampling optimization.(2023)

Machine learning prediction accuracy score: The use of Feature selection techniques(2023)

Imbalanced Dataset and Optimization Technique Use for Disease Treatment Default Prediction(2023)

Applied machine learning techniques for chronic disease treatment default prediction and its potential benefits for patient outcome: A case series study approach(2024)

A Novel Computer Vision Model for Medicinal Plant Identification Using Log-Gabor Filters and Deep Learning Algorithms(2022)

Hybrid Approach to Medicinal Plant Leaf Image Enhancement Using Contrast Limited Adaptive Histogram Equalization and Homomorphic Filter(2021)

DLCA-CapsNet: Dual-Lane CDH Atrous CapsNet for the Detection of Plant Diseases(2025)

A bilateral filtering-based image enhancement for Alzheimer disease classification using CNN(2024)

A Neural Architecture Search CNN for Alzheimer’s Disease Classification(2024)

Enhancing Brain Tumor Segmentation with Transformer-Based Models: A Study on the BraTS 2020 Dataset(2025)

Improved Selection Sort Algorithm(2015)

The formulation of complex queries and interactions using SMS text messages(2011)

Fuzzy Logic Approach to Credit Scoring for Micro Finance in Ghana: A Case Study of KWIQPLUS Money Lending(2014)

Designing Algorithm for Malaria Diagnosis using Fuzzy Logic for Treatment (AMDFLT) in Ghana(2014)

Heterogeneous signcryption with proxy re-encryption and its application in EHR systems(2022)

A Symmetric, Probabilistic, Non-Circuit Based Fully Homomorphic Encryption Scheme(2022)

Evolution of Homomorphic Encryption(2021)

Fast Generation of Image’s Histogram Using Approximation Technique for Image Processing Algorithms(2018)

Medicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper Review(2021)

An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers(2024)

An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers(2025)

Image steganography techniques for resisting statistical steganalysis attacks: A systematic literature review(2024)

A Secure and High Embedding Capacity Image Steganography Scheme Using Image Enhancement Technique, Compression, and Genetic Algorithm(2024)

The use of knapsack 0/1 in prioritizing software requirements and Markov chain to predict software success(2023)

Multimodal Brain Tumor Segmentation Using Transformer and UNET(2023)

Cloud Computing Framework for E-Health in Ghana: Adoption Issues and Strategies: Case Study of Ghana Health Service(2015)

A Robust Median-based Background Updating Algorithm(2017)

User Authentication Model for Securing E-Health System Using Fingerprint Biometrics(2019)

Preliminary Observations from Interactions among Ghanaian Autistic Children and Rosye, a Humanoid Robotic Assistive Technology(2018)

AsanteTwiSenti: A Sentiment dataset of Ghanaian Asante Twi Tweets in a multilingual context(2025)

Feature representation in analysing childhood vaccination defaulter risk predictors: A scoping review of studies in low-resource settings(2025)

Practical Security Approaches against Border Gateway Protocol (BGP) Session Hijacking Attacks between Autonomous Systems(2014)

Scaling Up: The Challenges of eHealth Systems in Developing Countries(2019)

Comparative Analysis Of K-Means Data Mining and Outlier Detection Approach for Network-Based Intrusion Detection(2018)

A Machine Learning Model for Network Intrusion Detection System Using Hidden Markov Model(2020)

A Framework for Securing Data by using Elliptic Curve Cryptography and Reed Solomon Coding Schemes(2021)

Chronic disease treatment default prediction, potential benefits with applied random sampling optimization techniques(2023)

English-Twi Parallel Corpus for Machine Translation(2021)

Contextual Text Embeddings for Twi(2021)

NLP for Ghanaian Languages(2021)

Developing a common cloud platform to manage Ghana’s healthcare system. Case study: Ghana Health Service (GHS)(2016)

A Novel Approach to Pre-Impact Measurement from Impact Investing Using Random Forest and Deep Neural Networks(2021)

A Comparative Study of Linear and Non-Linear Cryptographic Algorithms in Cloud Computing(2023)

An Overview and Comparative Study of Traditional, Chaos-Based and Machine Learning Approaches in Pseudorandom Number Generation(2025)

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.

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