Ahmed Zoha

Lecturer/Assistant Professor

University of Glasgow

United Kingdom

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About

Ahmed Zoha is a Lecturer at the University of Glasgow, UK. His research interests include federated learning, consumer privacy, and signal processing, with a focus on enhancing the reliability and efficiency of decentralized systems. Recent publications highlight advancements in federated load forecasting, human activity recognition using radar signal processing, and optimization strategies for solar cell architectures.

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Collaborators (9)

Muhammad Mahtab Alam

ESTONIA

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Muhammad Ali Imran

University of Glasgow

UNITED KINGDOM

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Mohammad Alquraan

University of Glasgow

UNITED KINGDOM

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Anthony Centeno

University of Glasgow

UNITED KINGDOM

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Fahad Ayaz

Researcher, Graduate Teaching Assistant and Demonstrator

University of Glasgow

UNITED KINGDOM

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Tim Hopthrow

Professor

University of Kent

UNITED KINGDOM

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Rami Ghannam

University of Glasgow

UNITED KINGDOM

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Sami Muhaidat

UNITED ARAB EMIRATES

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David Flynn

Professor of Cyber Physical Systems

University of Glasgow

UNITED KINGDOM

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Ahmed Zoha

Research Interests

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About

Articles (20)

Enhancing Consumer Privacy in Federated Load Forecasting Through Single-Layer Aggregation

Accelerating Federated Codistillation via Adaptive Computation Amount at Network Edge

Radar Signal Processing and Its Impact on Deep Learning-Driven Human Activity Recognition

Corrections to “A Hybrid Approach for Forecasting Occupancy of Building’s Multiple Space Type”

Semantic-Aware Federated Blockage Prediction (SFBP) in Vision-Aided Next-Generation Wireless Network

Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution Using Radar-Aided Dynamic Blockage Recognition

Robustness Against Data Integrity Attacks in Decentralized Federated Load Forecasting

A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy

Computational Optimization for CdS/CIGS/GaAs Layered Solar Cell Architecture

Swarm‐Optimized ZnO/CdS/CIGS/GaAs Solar Cell for Enhanced Efficiency and Thermal Resilience

Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges

Intelligent Beam Blockage Prediction for Seamless Connectivity in Vision-Aided Next-Generation Wireless Networks

FedBranched: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks

A Two-Stage Multi-Agent EV Charging Coordination Scheme for Maximizing Grid Performance and Customer Satisfaction

Blockchain-Assisted UAV Communication Systems: A Comprehensive Survey

Identifying the Lack of Energy-Conscious Behaviour in Clinical and Non-Clinical Settings: An NHS Case Study

F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes

A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning

An Outlook on the Interplay of Artificial Intelligence and Software-Defined Metasurfaces: An Overview of Opportunities and Limitations

Mobility prediction-based optimisation and encryption of passenger traffic-flows using machine learning

Collaborators (9)

Muhammad Mahtab Alam

Muhammad Ali Imran

Mohammad Alquraan

Anthony Centeno

Fahad Ayaz

Tim Hopthrow

Rami Ghannam

Sami Muhaidat

David Flynn

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