Gaddafi Abdul-Salaam

Computer Science

About

Gaddafi Abdul-Salaam received the Ph.D. degree from the Universiti Teknologi Malaysia, Johor, Malaysia in 2017. He received his M.Sc. degree in Advanced ICT studies from the Institute for Advanced ICT Studies, Ghana in 2009, and B.Sc. degree in Computer Engineering from the Kwame Nkrumah University of Science and Technology (KNUST), Ghana in 2005. He was also head of the ICT Centre in KNUST from 2010–2013. He is currently a senior lecturer at the Department of Computer Science in KNUST, Ghana. His research interests include Wireless Sensor Networks, hybrid WSNs and Mobile Ad hoc Networks, Network Protocols, Network Algorithms, Ad Hoc Networks.

Research Summary

(inferred from publications by AI)

This researcher has conducted extensive work across diverse domains within Physical Sciences, focusing on advancements in wireless networks, data security, AI applications, healthcare, and ethical issues. Their research spans themes such as energy harvesting techniques, spam detection algorithms, health-related applications of AI, cloud computing infrastructure, network security protocols, privacy-preserving technologies, mobile robotics, global health studies, higher education research, and data storage solutions.

Research Themes

All (36 Papers)

Physical Sciences (27 Papers)

Health Sciences (8 Papers)

Social Sciences (1 Papers)

All Papers

Energy harvesting and battery power based routing in wireless sensor networks(2015)

Recent Advances in Wireless Rechargeable Sensor Networks: A Comprehensive Review of Energy Management and Charging Strategies(2025)

A survey of wireless sensor network approaches and their energy consumption for monitoring farm fields in precision agriculture(2014)

A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols(2015)

Energy-Efficient Data Reporting for Navigation in Position-Free Hybrid Wireless Sensor Networks(2017)

K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network(2024)

A Review on Mobile SMS Spam Filtering Techniques(2017)

Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems(2023)

A systematic review of prediction accuracy as an evaluation measure for determining machine learning model performance in healthcare systems(2023)

Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Models(2023)

Chronic disease treatment default prediction with random sampling optimization.(2023)

Machine learning prediction accuracy score: The use of Feature selection techniques(2023)

Imbalanced Dataset and Optimization Technique Use for Disease Treatment Default Prediction(2023)

Applied machine learning techniques for chronic disease treatment default prediction and its potential benefits for patient outcome: A case series study approach(2024)

Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm(2016)

Energy-efficient Virtual Machine Allocation Technique Using Flower Pollination Algorithm in Cloud Datacenter: A Panacea to Green Computing(2019)

Energy-efficient Nature-Inspired techniques in Cloud computing datacenters(2019)

Traffic Adaptive MAC Protocols in Wireless Body Area Networks(2017)

Contention-based traffic priority MAC protocols in wireless body area networks: A thematic review(2023)

Traffic Class Prioritization-Based Slotted-CSMA/CA for IEEE 802.15.4 MAC in Intra-WBANs(2019)

CDASA-CSMA/CA: Contention Differentiated Adaptive Slot Allocation CSMA-CA for Heterogeneous Data in Wireless Body Area Networks(2017)

Emergency traffic adaptive MAC protocol for wireless body area networks based on prioritization(2019)

Intrusion Detection System Based on Artificial Immune System: A Review(2021)

Heterogeneous signcryption with proxy re-encryption and its application in EHR systems(2022)

A Technical Review of MANET Testbed Using Mobile Robot Technology(2018)

A Critical Review of MANET Testbed Using Mobile Robot Technology(2018)

Security Threat and Data Consumption as Mojor Nuisance of Social Media on Wi-Fi Network(2021)

CFS-AE: Correlation-based Feature Selection and Autoencoder for Improved Intrusion Detection System Performance(2024)

Analyzing Autoencoder-Based Intrusion Detection System Performance(2023)

Enhancing Image Security during Transmission using Residue Number System and k-shuffle(2020)

An Overview and Comparative Study of Traditional, Chaos-Based and Machine Learning Approaches in Pseudorandom Number Generation(2025)

Chronic disease treatment default prediction, potential benefits with applied random sampling optimization techniques(2023)

Managing the Quality of Undergraduate Students: Evidence from Ghanaian Higher Learning Institutions(2021)

Rsencarver": Enhancing File Carving Techniques with Error Correction Using the Reed Solomon Algorithm(2023)

STILLBIRTHS: PREVALENCE, RISKS AND CLINICAL INTERVENTIONS IMPACT AMONG WOMEN IN KWAHU GOVERNMENT HOSPITAL(2025)

Hybrid framework of differential privacy and secure multi-party computation for privacy-preserving entity resolution(2025)

Collaboration Network

4a6d7892-5a8c-4734-821f-7248e5dfb67e

Research Collaboration Map

Collaboration Frequency

Less

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.