Eliel Keelson
The researcher's comprehensive work spans multiple subfields within the Physical Sciences, encompassing areas such as Blockchain Technology Applications and Security, Smart Grid Energy Management, Software-Defined Networks and 5G, ICT in Developing Communities, E-Government and Public Services, Emotion and Mood Recognition, Educational Technology and Assessment, Consumer Retail Behavior Studies, Oil Palm Production and Sustainability, Food Supply Chain Traceability, and Network Security and Intrusion Detection. These diverse areas demonstrate a cohesive research focus on technological innovations, optimization techniques, system efficiency improvements, security enhancements, and behavioral studies across various applications.
Faculty Biography
Eliel Keelson, Ph.D., is a Lecturer with the Department of Computer Engineering at the Kwame Nkrumah University of Science and Technology, Ghana. He has a PhD. in Computer Engineering and his areas of research include Intelligent Energy Systems, Internet of Things and Blockchain Technologies.
Blockchain Technology Applications and Security
Consumer Retail Behavior Studies
E-Government and Public Services
Educational Technology and Assessment
Emotion and Mood Recognition
Food Supply Chain Traceability
ICT in Developing Communities
Network Security and Intrusion Detection
Oil Palm Production and Sustainability
Smart Grid Energy Management
Software-Defined Networks and 5G
Optimising peer-to-peer topology for blockchain-based industrial internet of things networks using particle swarm optimisation
CDBi‐LSTM: A Hybrid Deep Learning Model With Attention‐Based Fusion for Efficient DDoS Detection in IoT Environments
Open AccessA storage-efficient learned indexing for blockchain systems using a sliding window search enhanced online gradient descent
A Framework for Full Decentralization in Blockchain Interoperability
Open AccessAfroPALM - Afrocentric palm oil adulteration learning models: An end-to-end deep learning approach for detection of palm oil adulteration
Open AccessAssessing blockchain and IoT technologies for agricultural food supply chains in Africa: A feasibility analysis
Open AccessOptimizing Blockchain Querying: A Comprehensive Review of Techniques, Challenges, and Future Directions
Open AccessAfropalm - Afrocentric Palm Oil Adulteration Learning Models: An End-to-End Deep Learning Approach for Detection of Palm Oil Adulteration in West Africa
Open AccessBlockchain interoperability: the state of heterogenous blockchain‐to‐blockchain communication
Open AccessAutomatic Multiple Choice Examination Questions Marking and Grade Generator Software
Open AccessAdaptive Storage Optimization Scheme for Blockchain-IIoT Applications Using Deep Reinforcement Learning
Open AccessAn Open and Fully Decentralised Platform for Safe Food Traceability
An Overview of Technologies for Improving Storage Efficiency in Blockchain-Based IIoT Applications
Open AccessSoftware-Defined Networks for Optical Networks Using Flexible Orchestration: Advances, Challenges, and Opportunities
Open AccessSoftware-Defined Networks for Optical Networks using Flexible Orchestration : Advances, Challenges and Opportunities
Open AccessA Supermarket Anti-Theft RFID Scanner : digiSCAN
Open AccessA Supermarket Anti-Theft Scanner : digiSCAN
Open AccessA Survey on Deep Learning Algorithms in Facial Emotion Detection and Recognition
Open AccessA Survey on Network Optimization Techniques for Blockchain Systems
Open AccessA Survey on Deep Learning Algorithms in Facial Emotion Detection and Recognition
Open AccessOn Blockchain and IoT Integration Platforms: Current Implementation Challenges and Future Perspectives
Open AccessMobile Phone Usage Among Senior High and Technical School Students in Ghana and Its Impact on Academic Outcomes – A Case Study
e-Government Services in Ghana — Current State and Future Perspective
A Smart Quota System for Rationing Power in African Developing Countries
Open AccessA Smart Retrofitted Meter for Developing Countries
Open AccessDepartment of Computer Engineering
Kwame Nkrumah University of Science and Technology