Dorothy Araba Yakoba Agyapong
The researcher has made significant contributions to the field of biosensing through innovative approaches in advanced materials science and bioinformatics. Their work encompasses developing gold- and silver-based nanomaterials for precise heat shock protein detection, employing nanoparticles on ITO glass substrates for electrochemical sensing applications, and pioneering magnetic biosensors that enhance medical diagnostics. Additionally, they have advanced the field with machine learning techniques for analyzing biological data, particularly relevant to diabetes management and blood glucose monitoring. Their research highlights a comprehensive exploration of biosensor technologies across diverse domains, including life sciences, health sciences, and chemical sensor development.
Faculty Biography
Dr. Mrs. Dorothy Araba Yakoba Agyapong is a Senior Lecturer at the Department of Computer Engineering, KNUST. She holds a BSc in Computer Engineering from KNUST, an MSc in Bioengineering from The University of Nottingham, UK, a PhD in Biomedical Engineering from the University of Electronic Science and Technology, Chengdu, China and a Postgraduate Diploma in Education from the University of Education, Winneba. She joined KNUST in 2009. She teaches various courses in Biomedical Engineering and her research focuses on sensitive materials, material optimization and engineering of biomedical implants as well as the development of biosensors.Dr. Mrs. Agyapong is a Professional Member of the Ghana Institution of Engineering and an active Fellow of the Republic Hall, KNUST. She has served on quite a number of committees within the College of Engineering and the University at large. She is currently the International Programme’s Officer of the College of Engineering and the Exams Officer for the Department of Computer Engineering. WEBSITES/RESEARCH PROFILE LINKSGoogle Scholar: https://scholar.google.com/citationshl=en&user=plr2SEcAAAAJORCID: https://orcid.org/0000-0002-2531-073X
Advanced biosensing and bioanalysis techniques
Advanced Chemical Sensor Technologies
Advanced Neural Network Applications
Bone Tissue Engineering Materials
Diabetic Foot Ulcer Assessment and Management
Electrochemical sensors and biosensors
Heat shock proteins research
Machine Learning in Bioinformatics
Corrigendum to “A highly sensitive and reusable magnetic nano-electrochemical biosensor for the detection of the liver cancer biomarker heat shock protein 70” [Chem. Eng. J. 505 (2025) 159860]
A highly sensitive and reusable magnetic nano-electrochemical biosensor for the detection of the liver cancer biomarker heat shock protein 70
Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques
Open AccessSensitive detection of HSP70 using a current-amplified biosensor based on antibody-loaded PS-AuNPs@Cys/Au modified ITO chip
Hybrid Nanomaterials for Biosensor Applications
Adaptive Curriculum Learning for Semi-supervised Segmentation of 3D CT-Scans
Gold Nanoparticles/Thermochromic Composite Film on Screen-Printed Electrodes for Simultaneous Detection of Protein and Temperature
Open Access3D Liver and Tumor Segmentation in CT Scans with Robust Self-Paced Learning
Author Index
Open AccessThe electrolytic deposition of ZrO<sub>2</sub> film on ITO glass applied in the detection of rutin
Comparative analysis of the structural and physical properties of magnetron Co-sputtered Ag-doped and Si-doped hydroxyapatite coatings on titanium substrates
A carcinoembryonic antigen optoelectronic immunosensor based on thiol-derivative-nanogold labeled anti-CEA antibody nanomaterial and gold modified ITO
Structural and Physical Properties of Magnetron Co-sputtered Silver Containing Hydroxyapatite Coatings on Titanium Substrates
Department of Computer Engineering
Kwame Nkrumah University of Science and Technology