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Griffith Selorm Klogo

Computer Engineering

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About

Griffith Selorm Klogo (GSK) has had experience working on Smart Metering Networks and developing applications to solve day to day community challenges. His research focus range from sustainable energy systems for developing countries and using mobile applications to solve developmental challenges, e.g. sustainable energy systems for households. In recent (post COVID), his focus has been directed at engineering solutions to address challenges in the african sub-region.

Research Summary

(inferred from publications by AI)

The researcher's work focuses on developing innovative approaches across diverse technologies, encompassing themes such as software-defined networking, blockchain applications, network security, localization systems, IoT connectivity, smart grid security, access control, power systems, and encryption methods. This research aims to address real-world challenges by integrating these advanced solutions, demonstrating a comprehensive exploration of cutting-edge technologies in the physical sciences domain.

Research Themes

All Papers

Multi-Agent Reinforcement Learning Framework in SDN-IoT for Transient Load Detection and Prevention(2021)
Flexible open network operating system architecture for implementing higher scalability using disaggregated software‐defined optical networking(2023)
Traffic Engineering in Software-defined Networks using Reinforcement Learning: A Review(2021)
On Blockchain and IoT Integration Platforms: Current Implementation Challenges and Future Perspectives(2021)
Assessing blockchain and IoT technologies for agricultural food supply chains in Africa: A feasibility analysis(2024)
A storage-efficient learned indexing for blockchain systems using a sliding window search enhanced online gradient descent(2024)
Optimizing Blockchain Querying: A Comprehensive Review of Techniques, Challenges, and Future Directions(2024)
Lightweight and host-based denial of service (DoS) detection and defense mechanism for resource-constrained IoT devices(2020)
DDoS and Flash Event Detection in Higher Bandwidth SDN-IoT using Multiagent Reinforcement Learning(2021)
Detecting End-Point (EP) Man-In-The-Middle (MITM) Attack based on ARP Analysis: A Machine Learning Approach(2022)
Network Intrusion Detection And Countermeasure Selection In Virtual Network (NIDCS)(2016)
Detecting End-Point (EP) Man-In-The-Middle (MITM) Attack based on ARP Analysis: A Machine Learning Approach(2020)
DDOSNAS: Efficient Neural Architecture Search With Weight Sharing for Ddos Attack Detection(2025)
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)
Lightweight rogue access point detection algorithm for WiFi-enabled Internet of Things(IoT) devices(2020)
A Lightweight Rogue Access Point Detection Algorithm for Embedded Internet of Things (IoT) Devices(2019)
The State of Wireless Routers as Gateways for Internet of Things (IoT) Devices(2018)
On cloud-based systems and distributed platforms for smart grid integration: Challenges and prospects for Ghana's Grid Network(2021)
Secured Clustered Network for Localization and Monitoring of Smart Energy Meters (SEM) in Ghana(2014)
Detecting End-Point (EP) Man-In-The-Middle (MITM) Attack based on ARP Analysis: A Machine Learning Approach(2020)
A Survey of Trust Management Schemes for Social Internet of Things(2022)
A Survey of Trust Management Schemes for Social Internet of Things(2022)
Predictive AI Maintenance of Distribution Oil‐Immersed Transformer via Multimodal Data Fusion: A New Dynamic Multiscale Attention CNN‐LSTM Anomaly Detection Model for Industrial Energy Management(2025)
Energy‐Aware RF Fingerprinting for Device Identification in Ultra‐Low‐Power IoT Systems(2025)
On the Performance of Filters for Reduction of Speckle Noise in SAR\n Images off the Coast of the Gulf of Guinea(2013)
On the Performance of Filters for Reduction of Speckle Noise in SAR Images off the Coast of the Gulf of Guinea(2013)
Instructor-assisted question classification system using machine learning algorithms with N-gram and weighting schemes(2023)
Link-Level Performance Evaluation of Relay-Based Wimax Network(2016)
Opportunistic use of the 2.6/3.5GHZ Band for Broadband Services in the West African Sub-Region: Case Study Ghana(2014)
Distributed Automation System Based Remote Monitoring Of Power Quality Disturbance On Lv Network(2017)
MeDASH: An Effective Way to Check the Availability of Pharmaceutical Drugs in Proximity Using QR-codes(2024)
Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics(2025)
A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning(2025)

Collaboration Network

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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.