James Dzisi Gadze

Telecommunications Engineering

About

James Dzisi Gadze received his BSc, MSc and PhD degrees in Electrical Engineering from Kwame Nkrumah Uninversity of Science & Technology, Tuskegee Univesity, AL USA, and Florida Intenational Univesity, Miami USA respectively. He is currently an Associate Professor at the department of Telecommuniction Enginering in Kwame Nkrumah University of Science & Technology. His research interests include Software Defined Networking,Machine-and Deep-Learning application in Communication Systems, RoF-Based Fronthaul in 5G and Beyond Networks, IoT and Blockchain in Smart Grids

Research Summary

(inferred from publications by AI)

The researcher's work spans multiple domains of wireless communication technologies, focusing on advancements in software-defined networking (SDN) and 5G networks, cybersecurity for critical infrastructure, and IoT device security. Their research encompasses themes such as network security frameworks addressing DDoS attacks, intrusion detection systems for smart grids, lightweight messaging protocols for IoT devices, privacy-preserving algorithms in sensor networks, and energy-efficient designs across diverse applications like SDNs, fog networks, and wireless communication technologies. The researcher also investigates advanced photonic systems and explores machine learning techniques like reinforcement learning and K-means clustering in their work on localization and anomaly detection. Their research highlights innovations in security frameworks, network optimization, privacy-focused approaches, and the application of advanced physical models to improve network performance and reliability across all these domains.

Research Themes

All (39 Papers)

Physical Sciences (39 Papers)

All Papers

Multi-Agent Reinforcement Learning Framework in SDN-IoT for Transient Load Detection and Prevention(2021)

Traffic Engineering in Software-defined Networks using Reinforcement Learning: A Review(2021)

An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers(2021)

On Distributed Denial of Service Current Defense Schemes(2019)

DDoS and Flash Event Detection in Higher Bandwidth SDN-IoT using Multiagent Reinforcement Learning(2021)

A Proposed DoS Detection Scheme for Mitigating DoS Attack Using Data Mining Techniques(2019)

Network Intrusion Detection And Countermeasure Selection In Virtual Network (NIDCS)(2016)

On Blockchain and IoT Integration Platforms: Current Implementation Challenges and Future Perspectives(2021)

Blockchain-IoT peer device storage optimization using an advanced time-variant multi-objective particle swarm optimization algorithm(2022)

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)

A Framework for Trust-based Cluster Head Election in Wireless Sensor Networks(2006)

Tamper‐aware authentication framework for wireless sensor networks(2017)

Comparative Analysis of Energy Usage of Hash Functions in Secured Wireless Sensor Networks(2015)

Performance Evaluation of a Deployed 4G LTE Network(2018)

Link-Level Performance Evaluation of Relay-Based Wimax Network(2016)

Resource Allocation in D2D‐Enabled 5G Networks Using Multiagent Reinforcement Learning(2024)

Energy Constraints of Localization Techniques in Wireless Sensor Networks (WSN): A Survey(2013)

On the Number of Anchor Nodes for the Localization of Smart Energy Meters (SEM) in an African Environment(2014)

Radio Coverage Analysis of Anchor Nodes for the Localization and Monitoring of Smart Energy Meters (SEM)(2014)

The adoption of socio‐ and bio‐inspired algorithms for trust models in wireless sensor networks: A survey(2017)

Autonomic and embedded wireless sensor protocols for critical infrastructures(2007)

A 100 Gbps OFDM-Based 28 GHz Millimeter-Wave Radio over Fiber Fronthaul System for 5G(2021)

PSTRM: Privacy-aware sociopsychological trust and reputation model for wireless sensor networks(2020)

A Lightweight Messaging Protocol for Internet of Things Devices(2022)

Short-Term Traffic Volume Prediction in UMTS Networks using the Kalman Filter Algorithm(2013)

Control-Aware Wireless Sensor Network Platform for the Smart Electric Grid(2009)

Intelligent Agent Approach To The Control Of Critical Infrastructure Networks(2008)

Secured Clustered Network for Localization and Monitoring of Smart Energy Meters (SEM) in Ghana(2014)

A Performance Study of Energy Detection Based Spectrum Sensing for Cognitive Radio Networks(2014)

Improved Propagation Models for LTE Path Loss Prediction in Urban & Suburban Ghana(2019)

Reconfigurable Intelligent Reflecting Surfaces Enabled Spectrum Access for Beyond 5G Networks(2024)

A Heuristic K-Means-Based Unsupervised Machine Learning Model for Unmanned Aerial Vehicle Mounted Reconfigurable Intelligent Surface for Enhanced 5G and Beyond Networks Performance(2025)

On Optimal Slot Allocation for Reservation TDMA MAC Protocol in Shadow Fading Environment(2007)

Wireless Networked -Based Sensing for Protection and Decentralized Control of Critical Infrastructures(2007)

Dynamic Bandwidth Utilization in Software - Defined Campus Based Networks: A Case Study of the Kwame Nkrumah University of Science and Technology(2020)

Optimal Coverage Enhancement for Multiple UAVs Using Multi-agent Learning Technique(2023)

Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics(2025)

Collaboration Network

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Research Collaboration Map

Collaboration Frequency

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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.