Research & Publications

Exploring the frontiers of artificial intelligence and its applications to solve real-world challenges.

My Research Footprint

A snapshot of reach, relevance, and real-world resonance.

132

Total Publications

16 / 49

First-author / Senior-author

20%

Top 10% Most Cited Worldwide (Scopus)

62%

Top 10% Journals (by CiteScore)

5,450

Citations (Google Scholar, Sep 2026)

Patent Document Citations

Policy Document Citations (UK Parliament & EU)

22+

Media Features (incl. BBC Click)

Research Leadership & Impact

Visualizing Global Research Excellence

61.5%

International Collaboration

26%

Annual Growth in Citations

PhDs Graduated

Research Themes

Healthcare

5G/6G Systems

Energy

Distributed AI

Multimodal AI for IoT

Cybersecurity & AI safety

Authored/Edited Books

Multimodal Intelligent Sensing in Modern Applications

Publisher : Wiley-IEEE Press

ISBN-10 : 1394257716

Order Here

Multimodal Intelligent Sensing in Modern Applications

Body Area Networks. Smart IoT and Big Data for Intelligent Health Management

Publisher : Springer

ISBN : ISBN 978-3-030-95593-9

Order Here

Body Area Networks - Smart IoT and Big Data for Intelligent Health Management

Research Datasets

A Multilingual Spoofed Speech Dataset

2025

A large-scale multilingual dataset addressing code-switching in audio deepfake detection. Features 470,000+ samples across Urdu, Hindi, and English.

VeriVoice-V1 Bilingual Speech Corpus

2026 · IEEE DataPort

Bilingual Urdu–English speech corpus built with STech.ai for deepfake-resistant identity proofing and remote verification research.

iRAW Smartphone Sensor Forensics

August 2026 · IEEE DataPort

3,203 RAW images from 20 smartphone sensors for device-authentication forensics, released as a public benchmark under EPSRC MIMER.

5G Enabled Contactless Activity Detection

2021

5G Enabled Activity Sensing, Healthcare, AI based Activity Detection

Selected Publications

Research Areas

Accelerating Federated Codistillation via Adaptive Computation Amount at Network Edge

2025 IEEE Transactions on Mobile Computing

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

2025 IEEE Consumer Electronics Magazine

Edge‑Native Intelligence for 6G Communications Driven by Federated Learning

2023 IEEE Transactions on Emerging Topics in Computational Intelligence

Smart Grid Security through Fusion‑Enhanced Federated Learning Against Adversarial Attacks

2025 Engineering Applications of Artificial Intelligence

Novel Stealth Communication Round Attack and Robust Incentivized Federated Averaging for Load Forecasting

2025 IEEE Transactions on Sustainable Computing

FedFusionQuant (FFQ): Federated Learning with Feature Fusion and Model Quantisation for Human Activity Recognition

2025 IEEE Transactions on Sustainable Computing

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

2023 IEEE Transactions on Network and Service Management

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

2024 IEEE Transactions on Mobile Computing

Federated learning empowered mobility-aware proactive content offloading framework for fog radio access networks

2022 Future Generation Computer Systems

Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting

2024 IEEE CSCN Conference

Federated Learning for Reliable mmWave Systems: Vision‑Aided Dynamic Blockages Prediction

2023 IEEE WCNC

An Outlook on the Interplay of Machine Learning and Reconfigurable Intelligent Surfaces

2020 IEEE Vehicular Technology Magazine

Google Scholar Glasgow ePrints

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Research & Publications

My Research Footprint

Research Leadership & Impact

Research Themes

Citation Growth Over Time

Next-Gen Wireless (5G/6G)

Energy & Smart Grids

IoT & Smart Sensing

Cybersecurity & AI Safety

Multimodal AI Systems

Federated Learning

AI/ML for Healthcare

Industry Collaboration

Authored/Edited Books

Multimodal Intelligent Sensing in Modern Applications

Body Area Networks. Smart IoT and Big Data for Intelligent Health Management

Research Datasets

A Multilingual Spoofed Speech Dataset

VeriVoice-V1 Bilingual Speech Corpus

iRAW Smartphone Sensor Forensics

5G Enabled Contactless Activity Detection

Selected Publications

Accelerating Federated Codistillation via Adaptive Computation Amount at Network Edge

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

Edge‑Native Intelligence for 6G Communications Driven by Federated Learning

Smart Grid Security through Fusion‑Enhanced Federated Learning Against Adversarial Attacks

Novel Stealth Communication Round Attack and Robust Incentivized Federated Averaging for Load Forecasting

FedFusionQuant (FFQ): Federated Learning with Feature Fusion and Model Quantisation for Human Activity Recognition

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

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

Federated learning empowered mobility-aware proactive content offloading framework for fog radio access networks

Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting

Federated Learning for Reliable mmWave Systems: Vision‑Aided Dynamic Blockages Prediction

An Outlook on the Interplay of Machine Learning and Reconfigurable Intelligent Surfaces

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

Challenges in 5G: How to Empower SON with Big Data for Enabling 5G

A Cell Outage Management Framework for Dense Heterogeneous Networks

Leveraging Intelligence from Network CDR Data for Interference‑Aware Energy Consumption Minimization

Blockchain‑Assisted UAV Communication Systems: A Comprehensive Survey

A Learning‑Based Approach for Autonomous Outage Detection and Coverage Optimization

Intelligent Handover Decision Scheme Using Double Deep Reinforcement Learning

Coverage and Throughput Analysis of an Energy Efficient UAV Base Station Positioning Scheme

Blockchain‑Based Secret Key Extraction for Efficient and Secure Authentication in VANETs

Data‑Driven Analytics for Automated Cell Outage Detection in Self‑Organizing Networks

A SON Solution for Sleeping Cell Detection Using Low‑Dimensional Embedding of MDT Measurements

Health Management and Pattern Analysis of Daily Living Activities of People with Dementia

Machine Learning Methods for Detecting Urinary Tract Infection and Analysing Daily Living Activities in People with Dementia

Exploring the Elusive Mind: A Multimodal Wearable Sensor Solution for Measuring Mind Wandering in University Students

Data portability for activities of daily living and fall detection in different environments using radar micro-doppler

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

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

Non‑Invasive Hydration Level Estimation in Human Body Using Galvanic Skin Response

5G‑Enabled Contactless Multi‑User Presence and Activity Detection for Independent Assisted Living

A Review on the Role of Nano‑Communication in Future Healthcare Systems: A Big Data Analytics Perspective

Deep Learning in Ultrasound Tongue Imaging: A Systematic Review Toward Automated Detection of Speech Sound Disorders

Machine Learning Driven Non‑Invasive Approach of Water Content Estimation in Living Plant Leaves Using Terahertz Waves

Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness?

Non‑Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey

A Digital‑Twin Approach to Narrow‑Band IoT Wireless Communication Optimization in Industrial Scenarios

Optimising Electrical Power Supply Sustainability Using a Grid‑Connected Hybrid Renewable Energy System—An NHS Hospital Case Study

Machine Learning Driven Approach Towards the Quality Assessment of Fresh Fruits Using Non‑Invasive Sensing

Energy Management in an Agile Workspace Using AI‑Driven Forecasting and Anomaly Detection

Grand Challenges in IoT and Sensor Networks

Predicting Complex Events for Pro‑Active IoT Applications

Low‑Power Appliance Monitoring Using Factorial Hidden Markov Models

A Comparison of Generative and Discriminative Appliance Recognition Models for Load Monitoring

Teaching Solar Energy Systems Design Using Game‑Based Virtual Reality

Non‑Invasive Localization Using Software‑Defined Radios

Accelerating Federated Codistillation via Adaptive Computation Amount at Network Edge

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

Edge‑Native Intelligence for 6G Communications Driven by Federated Learning

Smart Grid Security through Fusion‑Enhanced Federated Learning Against Adversarial Attacks

Novel Stealth Communication Round Attack and Robust Incentivized Federated Averaging for Load Forecasting

FedFusionQuant (FFQ): Federated Learning with Feature Fusion and Model Quantisation for Human Activity Recognition

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

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

Federated learning empowered mobility-aware proactive content offloading framework for fog radio access networks

Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting

Federated Learning for Reliable mmWave Systems: Vision‑Aided Dynamic Blockages Prediction

An Outlook on the Interplay of Machine Learning and Reconfigurable Intelligent Surfaces