Hamed Al-Raweshidy

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Brunel University London

United Kingdom

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Professor Hamed Al-Raweshidy is a faculty member at Brunel University London, UK. His research focuses on advanced machine learning techniques, particularly in the context of AI-driven solutions for recruitment systems, 6G networks, and healthcare systems. He has published extensively on topics such as job matching frameworks, intelligent threat detection, and photovoltaic power forecasting.

Hamed Al-Raweshidy

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Articles (26)

AI-driven semantic similarity-based job matching framework for recruitment systems

Towards Intelligent Threat Detection in 6G Networks Using Deep Autoencoder

Comprehensive Review of Control Techniques for Various Mechanisms of Parallel Robots

Convolutional Versus Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing

Domain Tailored Large Language Models for Log Mask Prediction in Cellular Network Diagnostics

Performance Parameters Consideration for Cellular System Upgrades in Developing Countries

Machine Learning Approaches for Short-Term Photovoltaic Power Forecasting

Highly Efficient Hybrid Reconfigurable Intelligent Surface Approach for Power Loss Reduction and Coverage Area Enhancement in 6G Networks

AI-Enabled Healthcare and Enhanced Computational Resource Management With Digital Twins Into Task Offloading Strategies

An Adaptive SDN-Based Load Balancing Method for Edge/Fog-Based Real-Time Healthcare Systems

ITor-SDN: Intelligent Tor Networks-Based SDN for Data Forwarding Management

Implementation of a Combined Fuzzy Controller Model to Enhance Risk Assessment in Oil and Gas Construction Projects

Low-Power and Low-Latency Hardware Implementation of Approximate Hyperbolic and Exponential Functions for Embedded System Applications

Micro Software Defined Control (μSDC): Empowering Smart Grids With Enhanced Control and Optimization

Optimizing the Energy Efficiency Using Quantum Based Load Balancing in Open Radio Access Networks

Bacterial Foraging Algorithm for a Neural Network Learning Improvement in an Automatic Generation Controller

On the Fluctuating Beckmann Shadowed Composite Fading Model and Its Applications to Wireless Communications

The performance of millimeter-wave over fiber using electro absorption modulator and avalenche photodiode

Towards a cooperative hierarchical healthcare architecture using the HMAN offloading scenarios and SRT calculation algorithm

Dual-Tier Cluster-Based Routing in Mobile Wireless Sensor Network for IoT Application

Energy-Efficient Traffic in Cloud-Based IoT

Cooperative SWIPT THz-NOMA/6G Performance Analysis

Design of a Load Frequency Controller Based on an Optimal Neural Network

Design of a Two-Area Automatic Generation Control Using a Single Input Fuzzy Gain Scheduling PID Controller

Distributed remote antenna unit with selection-based of (RoF-IoT) paradigm: Performance improvement

SWIPT-Pairing Mechanism for Channel-Aware Cooperative H-NOMA in 6G Terahertz Communications

Collaborators (5)

Farzad Rahimian

Ammar Al Mhdawi

Haider Oleiwi

Maysam Abbod

Rajagopal Nilavalan

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