Kwame Ofosuhene Peasah
The researcher's work focuses broadly on applied technologies across multiple domains, investigating advanced methods for security, data storage, and AI applications. Contributions include work in cryptographic techniques, steganography, network security, data storage solutions, IoT networks, and agricultural intelligence, demonstrating significant advancements in these areas.
Faculty Biography
Kwame Ofosuhene Peasah is a lecturer in the Department of Computer Science. He holds a first and doctoral degrees in Computer Science. He, however, branched to the area of mathematics after his first degree and had his MSc in Industrial Mathematics at Kwame Nkrumah University of Science and Technology.He was appointed as a Technical Instructor in 2007 and later promoted to lecturer in the Department of Science, Computer Science, KNUST. Broad areas of interest include Mobile Device Forensics, Cloud Forensics, Network Forensics, Database Forensics, Computer Forensics, and Operating Systems.Has a keen interest in preaching the Gospel of Christ, teaching, and community work. Served as coordinator for ICT training for SHS and JSS with the National Youth Authority and co-coordinator for short courses in Cyber Security and Digital Forensics. Developed some software for industries, KNUST, private schools, and businesses that are currently in use.He had industrial experience from 1994 to 2007 before joining KNUST at the following institutions. Crops Research Institute, Kumasi, Institute of Land Management, Kumasi, and Ashanti Goldfields, Obuasi. His areas of expertise are Digital Forensics, Operating Systems, and Database Forensics
Advanced Data Storage Technologies
Advanced Steganography and Watermarking Techniques
Cryptography and Data Security
Network Security and Intrusion Detection
Opportunistic and Delay-Tolerant Networks
Smart Agriculture and AI
Contrast limited adaptive histogram equalization (CLAHE) and colour difference histogram (CDH) feature merging capsule network (CCFMCapsNet) for complex image recognition
Open AccessDLCA-CapsNet: Dual-Lane CDH Atrous CapsNet for the Detection of Plant Diseases
Open AccessImage steganography techniques for resisting statistical steganalysis attacks: A systematic literature review
Open AccessAn improved man-in-the-middle (MITM) attack detections using convolutional neural networks
Open AccessA Power-Aware River Formation Dynamics Routing Algorithm for Enhanced Longevity in MANETs
Open AccessRsencarver": Enhancing File Carving Techniques with Error Correction Using the Reed Solomon Algorithm
Open AccessEfficient deniable authentication and its application in location-based services
Department of Computer Science
Kwame Nkrumah University of Science and Technology