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Justice Owusu Agyemang

Telecommunications Engineering

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About

Dr. Agyemang is a Lecturer at Kwame Nkrumah University of Science and Technology (KNUST), Ghana. He received his BSc, MSc, and PhD degrees in Telecommunication Engineering from KNUST, Ghana. His research interests include the Internet of Things (IoT), Network and Application Security, Blockchain Technology, Artificial Intelligence, and Applied Cryptography. Currently, he is exploring the field of Quantum Computing and Information Sciences.Certified as an ICSI CNSS Certified Network Security Specialist, a Certified Cybersecurity Technician, and a Certified SOC Analyst, Dr. Agyemang's skills and expertise make him an outstanding cybersecurity consultant. He specializes in Reverse Engineering, Networks and Application Security, and Blockchain Security.Driven by a passion to protect against cyber threats, Dr. Agyemang is a pioneer in cybersecurity. He develops advanced solutions for optimal protection and security for his clients. His innovation and commitment to excellence make him an exemplary figure in his field.

Research Summary

(inferred from publications by AI)

The researcher has explored multiple areas within the physical sciences, focusing on network security through deep learning, detection mechanisms for resource-constrained IoT devices using machine learning, MITM attacks, blockchain applications in industrial internet of things, energy-efficient wireless sensor networks, smart agriculture, and software-defined networking. They also investigated theoretical frameworks such as link load balancing with cat swarm optimization and information and cyber security aspects, including secure network architectures and data integrity solutions for IoT and Vehicular Ad Hoc Networks (VANETs). Their work integrates diverse technologies across domains to address challenges in security, efficiency, and performance, highlighting the interdisciplinary nature of modern research.

Research Themes

All Papers

An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers(2021)
Lightweight and host-based denial of service (DoS) detection and defense mechanism for resource-constrained IoT devices(2020)
Lightweight Man-In-The-Middle (MITM) Detection and Defense Algorithm for WiFi-Enabled Internet of Things (IoT) Gateways(2019)
Detecting End-Point (EP) Man-In-The-Middle (MITM) Attack based on ARP Analysis: A Machine Learning Approach(2022)
Detecting End-Point (EP) Man-In-The-Middle (MITM) Attack based on ARP Analysis: A Machine Learning Approach(2020)
A Survey on Network Optimization Techniques for Blockchain Systems(2022)
Optimising peer-to-peer topology for blockchain-based industrial internet of things networks using particle swarm optimisation(2025)
DESIGN OF A MINIMAL OVERHEAD CONTROL TRAFFIC TOPOLOGY DISCOVERY AND DATA FORWARDING PROTOCOL FOR SOFTWARE-DEFINED WIRELESS SENSOR NETWORKS(2022)
DESIGN OF A MINIMAL OVERHEAD CONTROL TRAFFIC TOPOLOGY DISCOVERY AND DATA FORWARDING PROTOCOL FOR SOFTWARE-DEFINED WIRELESS SENSOR NETWORKS(2020)
A Critical Survey on Overhead Control Traffic Reduction Strategies in Software-Defined Wireless Sensor Networking(2021)
Design of A Minimal Control Traffic Overhead Topology Discovery and Data Forwarding Protocol for SDWSNS(2020)
TinyML for smart agriculture: Comparative analysis of TinyML platforms and practical deployment for maize leaf disease identification(2024)
TinyML Implementation on Microcontrollers: The Case of Maize Leaf Disease Identification(2024)
Lightweight rogue access point detection algorithm for WiFi-enabled Internet of Things(IoT) devices(2020)
Autonomic IoT: Towards Smart System Components with Cognitive IoT(2022)
A Lightweight Messaging Protocol for Internet of Things Devices(2022)
A Lightweight Rogue Access Point Detection Algorithm for Embedded Internet of Things (IoT) Devices(2019)
Tinyml for Smart Agriculture: Comparative Analysis of Tinyml Platforms and Practical Deployment for Maize Leaf Disease Identification(2024)
The State of Wireless Routers as Gateways for Internet of Things (IoT) Devices(2018)
Light Fidelity(LiFi) as an Alternative Data Transmission Medium in VANET(2017)
An Algorithm to Determine the Extent of an Epidemic Spread: A NetLogo Modeling Approach(2019)
SmishShield: A Machine Learning-Based Smishing Detection System(2023)
An Orchestration Framework for IoT Devices Based on Public Key Infrastructure (PKI)(2019)
Detecting End-Point (EP) Man-In-The-Middle (MITM) Attack based on ARP Analysis: A Machine Learning Approach(2020)
Resource Allocation in D2D‐Enabled 5G Networks Using Multiagent Reinforcement Learning(2024)
Cat Swarm Optimization with Lévy Flight for Link Load Balancing in SDN(2025)
Measurement and evaluation of electromagnetic radiation exposure from antennas in cellular networks in Ghana(2024)
Measurement and evaluation of electromagnetic radiation exposure from antennas in cellular networks in Ghana(2024)
A transformer-based deep q learning approach for dynamic load balancing in software-defined networks(2025)
Improving Face Recognition from a Single Image(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.