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Ikram Ur Rehman

Associate Professor in AI and Data Science

University of West London

United Kingdom

Research Interests

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About

Ikram Ur Rehman is an Associate Professor at the University of West London, UK. His research focuses on intelligent transportation systems, emotional recognition in e-learning contexts, and the impact of digital transformation in education. He has published extensively on topics such as smart traffic management using edge machine learning techniques and the analysis of user experiences in collaborative learning environments.

Articles (15)

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2026

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2020

Collaborators (6)

Sohaib Bin Altaf Khattak

SAUDI ARABIA

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Maria G. Martini

Kingston University

UNITED KINGDOM

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Nasrullah Khilji

University of West London

UNITED KINGDOM

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Laden Husamaldin

Associate Professor

University of West London

UNITED KINGDOM

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Parisa Saadati

Senior Lecturer in IT

University of West London

UNITED KINGDOM

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Moustafa M. Nasralla

Associate Professor

College of Engineering

SAUDI ARABIA

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Ikram Ur Rehman

Research Interests

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About

Articles (15)

The Role of AI in the Smart Monitoring of Trees

Transforming Project Management Education with Immersive Technologies in Education 5.0

Edge ML Technique for Smart Traffic Management in Intelligent Transportation Systems

Edge ML Technique for Smart Traffic Management in Intelligent Transportation Systems

Multi-Frame Transfer Learning Framework for Facial Emotion Recognition in e-Learning Contexts

Emotions Matter: A Systematic Review and Meta-Analysis of the Detection and Classification of Students’ Emotions in STEM during Online Learning

Exploring the Role of 6G Technology in Enhancing Quality of Experience for m-Health Multimedia Applications: A Comprehensive Survey

Analysing User Experience of Dynamic Group Formation (DGF)in Intelligent Tutor Collaborative Learning (ITSCL) using Aspect-Based Sentiment Analysis

Digital Transformation in Nursing Education: A Systematic Review on Computer-Aided Nursing Education Pedagogies, Recent Advancements and Outlook on the Post-COVID-19 Era

Emotions Matter: A Systematic Review and Meta-Analysis of the Detection and Classification of Students' Emotions in STEM during Online Learning

Exploring the Role of 6G Technology in Enhancing Quality of Experience for m-Health Multimedia Applications: A Comprehensive Survey

An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications

Performance of Millimeter Wave Dense Cellular Network Using Stretched Exponential Path Loss Model

An intelligent fuzzy logic-based content and channel aware downlink scheduler for scalable video over ofdma wireless systems

Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model

Collaborators (6)

Sohaib Bin Altaf Khattak

Maria G. Martini

Nasrullah Khilji

Laden Husamaldin

Parisa Saadati

Moustafa M. Nasralla

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