Dr Ikram Ur Rehman

Senior Lecturer in Computer Science

Course Leader for MSc Health Informatics

School of Computing and Engineering

Ikram.Rehman@uwl.ac.uk

Dr Ikram Ur Rehman is a Senior Lecturer in Computer Science and the Course Leader for MSc in Health Informatics at the University of West London. He has been involved in many national and international e-health and e-learning projects. These projects include chronic disease management (eg diabetes, COPD and cancer), social robotics, decision support systems, behavioural change management, telehealth and telecare in developing countries. Currently, he is leading a British Council-funded project on e-learning, which aims to augment online teaching and learning pedagogies through the use of AI.

In addition, Ikram is passionate about creating innovative and integrated diagnostic technologies, helping citizens make their own reliable health diagnoses anywhere and anytime. He is knowledgeable in body area networks, personal area networks, the Internet of Things, the Web of Things and 4G/5G/6G communications. His expertise includes big data analytics and visualisations, medical mobile multimedia communication including image and video processing, analysis and streaming, service quality and experience from the medical perspective.

Ikram is the author/coauthor of over 35 journals, peer-reviewed conferences and book chapters. He has around 10 years of experience in telemedicine/mobile health. He is the Vice Chair of the Awards and Recognition Committee of IEEE Smart Cities, a member of the editorial boards, review panels for many transactions and journals and a committee member of many international conferences. In addition, he has been an invited speaker at many industrial, scientific and governmental events. At the University of West London, he is group member of 'Intelligent Sensing and Vision (IntSaV)' and 'Information Systems and Knowledge Management (ISKM) research groups, working closely with the colleagues toward joint project/funding ideas.

Qualifications

BSc Telecommunications (National University of Computer and Emerging Sciences, Pakistan)
MSc Networking and Data Communications with Management Studies (Kingston University, London)
PhD in Computing (Mobile Healthcare) (Kingston University, London)
Awards

School of Computing and Engineering Lecturer of the Year (2022) - Star Awards
British Council's UK-Saudi Challenge Fund Award of £45K for "Intelli-Student Project: A UK-Saudi Partnership Project"
Memberships

Fellow of the Higher Education Academy (HEA)
Member of the Institute of Electrical and Electronics Engineers (IEEE)
Member of IEEE Smart Cities
Member of IEEE Communications Society
Member of IEEE Young Professionals

Teaching

Dr Ikram's teaching proficiency is focused on taught and research modules for undergraduate and postgraduate levels, including modules such as Programming, Software Development, Databases and Analytics, Data Management in Healthcare and Visualisation, Artificial Intelligence, Data Communication and Networking. Furthermore, he has also actively supervised successful BSc and MSc students in their project dissertations. In addition, he supervises PhD students in their doctoral studies at the University of West London.

Research

See Dr Ikram Ur Rehman's publications list in the UWL Repository.

Research and publications

Journal Articles
Aamir Anwar, Ikram Ur Rehman, Moustafa M. Nasralla, Sohaib Khattak and Nasrullah Khilji (2023) “Emotions Matter: A Systematic Review and Meta-Analysis of Students' Emotion Detection and Classification in
STEM during Online Learning” Education Sciences, MDPI - Q2, IF: 3.
Nevena Kostadinova Dicheva, Ikram Ur Rehman, Aamir Anwar, Laden Husamaldin and Sama Aleshaiker “Digital Transformation in Nursing Education: A Systematic Review on Computer-Aided Nursing Education
Pedagogies, Recent Advancements and Outlook on the Post-Covid Era” IEEE Access (Education Society Section) Q1, IF: 3.476.
Moustafa M. Nasralla, Sohaib Khattak and Ikram Ur Rehman (2022) “Exploring the Role of 6G Technology in Enhancing Quality of Experience for M-Health Multimedia Applications: A Comprehensive Survey” Sensors, MDPI – Q1, IF: 3.9.
Hira Mariam, Irfan Ahmed, Sundus Ali, Muhammad Imran Aslam and Ikram Ur Rehman (2022) "Performance of Millimeter Wave Dense Cellular Network Using Stretched Exponential Path Loss Model" Electronics, MDPI – Q2, IF: 2.9.
Syed Mohsin Ali Shah, Syed Muhammad Usman, Ikram Ur Rehman and Aamir Anwar (2022) “An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications” Sensors, MDPI – Q1, IF: 3.9.
Ijaz Ul Haq, Aamir Anwar, Ikram Ur Rehman, Waqar Asif, Drishty Sobnath, Hafiz Husnain Raza Sherazi, and Moustafa M. Nasralla (2021) "Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration." IEEE Access - Q1, IF: 3.476.
Ikram Ur Rehman, Drishty Sobnath, Moustafa M. Nasralla, Maria Winnett, Aamir Anwar, Waqar Asif, and Hafiz Husnain Raza Sherazi (2021) "Features of mobile apps for people with autism in a post covid-19 scenario: current status and recommendations for apps using AI." Diagnostics, MDPI – Q2, IF: 3.6.
Zuhaib Ashfaq Khan , Hafiz Husnain Raza Sherazi , Mubashir Ali , Muhammad Ali Imran , Ikram U. Rehman and Prasun Chakrabarti (2021) “Designing Wind Energy Harvester for Connected Vehicles in Green Cities” Energies, MDPI – Q1, IF: 3.2.
Drishty Sobnath, Tobiasz Kaduk, Ikram U. Rehman and Olufemi Isiaq, (2020) "Feature Selection for UK Disabled Students' Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model", IEEE Access - Q1, IF: 3.476.
Peter Omiyi, Moustafa Nasralla, Ikram U. Rehman, Nabeel Khan and Maria Martini, (2020) "An intelligent fuzzy Logic-based content and channel aware downlink scheduler for scalable video over OFDMA wireless systems", Electronics, MDPI – Q2, IF: 2.9.
Ikram U. Rehman, Moustafa Nasralla and Nada Y. Philip, (2019) "Multilayer Perceptron Neural Network-Based QoS-Aware, Content-Aware and Device-Aware QoE Prediction Model: A Proposed Prediction Model for Medical Ultrasound Streaming Over Small Cell Networks" Electronics, MDPI - Q2, IF: 2.9.
Moustafa Nasralla, Manzoor Razaak, Ikram U. Rehman, Maria G. Martini, (2018) "Content-Aware Packet Scheduling Strategy for Medical Ultrasound Videos over LTE Wireless Network", Journal of Computer Networks, Q1, IF: 5.6.
Book Chapters
Syed Emad ud Din Arshad, Moustafa Nasralla, Sohaib Bin Altaf Khattak, Taqwa Ahmed Alhaj and Ikram Ur Rehman (2023) “Malware Analysis for IoT and Smart AI-based Applications.” Cyber Malware Offensive and Defensive systems, Springer Nature.
Drishty Sobnath, Ikram U. Rehman, Moustafa Nasralla, (2020) "Smart Cities to Improve Mobility and Quality of Life of the Visually Impaired", Technological Trends in Improved Mobility of the Visually Impaired,
Springer.
News Articles
Drishty Sobnath and Ikram U. Rehman, (2019) "Smart cities could give the visually impaired a new outlook on urban life", The Conversation.
Conferences

Nischal Karki, Aamir Anwar, Ikram Ur Rehman and Laden Husamaldin (2023) "Smart Attendance Monitoring System Using Face Recognition for People with Disabilities (PwDs)", 9th IEEE International Smart Cities Conference, Bucharest, Romania, September 2023.
Aamir Anwar, Ikram Ur Rehman, Moustafa M. Nasralla, Sohaib Bin Altaf Khattak and Nasrullah Khilji (2023) "Sentiment Analysis and Student Emotions: Improving Satisfaction in Online Learning Platforms", 9th IEEE International Smart Cities Conference, Bucharest, Romania, September 2023.
Maria Camelia Danciu, Nurha Yingta, Ikram Ur Rehman and Sama Aleshaiker (2023) "UAV Automated Charging Station and Charging Network Used in Smart Cities for Telemedicine Delivery", 9th IEEE International Smart Cities Conference, Bucharest, Romania, September 2023.
Nevena Kostadinova Dicheva, Ikram Ur Rehman, Laden Husamaldin and Sama Aleshaiker (2023) "Improving Nursing Educational Practices and Professional Development through Smart Education in Smart Cities: A Systematic Literature Review", 9th IEEE International Smart Cities Conference, Bucharest, Romania, September 2023.
Aamir Anwar, Ikram Ur Rehman, Nevena Kostadinova Dicheva and Ijaz Ul Haq (2023) "Evaluating the User Experience of Dynamic Group Formation (DGF) with Intelligent Tutor Collaborative Learning (ITSCL)", XXIII International Conference on Human-Computer Interaction, Lieda, Spain, September 2023.
Georgi Sharkov, Waqar Asif and Ikram Ur Rehman (2022) “Securing Smart Home Environment using Edge Computing”, 8th IEEE International Smart Cities Conference, Paphos, Cyprus, September
2022.
Sohaib Khattak, Moustafa M. Nasralla and Ikram Ur Rehman (2022) “The Role of 6G Networks in Enabling Future Smart Health Services and Applications”, 8th IEEE International Smart Cities Conference, Paphos, Cyprus, September 2022.
Aamir Anwar, Ikram Ur Rehman, Ijaz Ul Haq and Laden Husamaldin (2022) “Smart Education for People with Disabilities (PwDs): Conceptual Framework for PwDs Emotions Classification from Common Student Utterances (CSUs) during Online Learning”, 8th IEEE International Smart Cities Conference, Paphos, Cyprus, September 2022.
Nikumani Choudhury, Moustafa M. Nasralla, Prakhar Gupta, and Ikram Ur Rehman (2021) "Centralized Graph based TSCH Scheduling for IoT Network Applications.”, 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, New York, USA, October 2021.
Ahmad Karkouti, Elahe Kani-Zabihi, and Ikram Ur Rehman (2021) "MobVIP: University of West London's Shuttle Bus App to Improve Mobility of Visually Impaired Students", 13th International Conference on Disability, Virtual Reality, and Associated Technologies, Serpa, Portugal, September 2021.
Nowman Islam, Aamir Anwar and Ikram Ur Rehman (2021) “A proposed framework for developing User-Centred Mobile Healthcare Applications for the biggest annual mass gathering (Hajj) Post COVID-19, 33rd British Human Computer Interaction Conference, London, UK, July 2021.
Nurha Yingta, Jose Abdelnour Nocera, Ikram U. Rehman and Obed Brew (2021) “Systematic Review of Usefulness Design Goals of Occupational mHealth Apps for Healthcare Workers”, 33rd British Human Computer Interaction Conference, London, UK, July 2021.
Moustafa Nasralla, Ikram Ur Rehman, Drishty Sobnath, and Sara Paiva (2019) "Computer Vision and Deep Learning enabled UAVs: Proposed Use Cases for Visually Impaired People in a Smart City", Computer Analysis of Images and Patterns, Salerno, Italy, September 2019.
Drishty Sobnath, Olufemi Isiaq, Ikram Ur Rehman, and Moustafa Nasralla (2019) "Using Machine Learning Advances to Unravel Patterns in Subject Areas and Performances of University Students with Special Educational Needs and Disabilities (MALSEND): A Conceptual Approach", 4th International Congress on Information and Communication Technology (ICICT), London, UK, February 2019.
Ikram Ur Rehman, Moustafa Nasralla, Ajaz Ali, Ikechukwu Maduka, and Nada Y. Philip (2018) "The Influence of Content and Device Awareness on QoE for Medical Video Streaming over Small Cells: Subjective and Objective Quality Evaluations", IEEE International Conference on Innovation and Intelligence for Informatics, Computing, and
Technologies (3ICT), Bahrain, November 2018.
Moustafa Nasralla, and Ikram Ur Rehman (2018) "QCI and QoS Aware Downlink Packet Scheduling Algorithms for Multi-Traffic Classes over 4G and beyond Wireless Networks", IEEE International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Bahrain, November 2018.
Ikram Ur Rehman, Moustafa Nasralla, Ajaz Ali, Nada Y. Philip (2018) "Small Cell-based Ambulance Scenario for Medical Video Streaming: A 5G-health use case", 15th IEEE International Conference on Smart Cites: Improving quality of life using ICT and IoT (HONET), Islamabad, Pakistan, October 2018.
Moustafa Nasralla, Manzoor Razaak, Ikram Ur Rehman, and Maria G. Martini (2018) "A Comparative Performance Evaluation of the HEVC Standard with its Predecessor H.264/AVC for Medical videos over 4G and beyond Wireless Networks", 8th IEEE International Conference on Computer Science and Information Technology, Amman, Jordan,
July 2018.
Ikram Ur Rehman, Moustafa Nasralla, and Nada Y. Philip (2016) "A Hybrid Quality Evaluation Approach based on Fuzzy Inference System for Medical Video Streaming over Small Cell Technology", 18th IEEE International Conference on E-Health Networking, Application and Services (Healthcom), Munich, Germany, September 2016.
Nada Y. Philip and Ikram Ur Rehman (2016) "Towards 5G-Health for Medical Video Streaming over Small Cells", 14th Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon), Paphos, Cyprus, April 2016.
Ikram Ur Rehman and Nada Y. Philip (2015) "M-QoE Driven Context, Content and Network Aware Medical Video Streaming based on Fuzzy Logic System over 4G and beyond Small Cells", 16th IEEE International Conference on Computer as a Tool (EuroCon), Salamanca, Spain, September 2015.
Ikram U. Rehman and Nada Y. Philip (2015) "m-QoS and m-QoE for Medical Video Streaming over 4G and Beyond Small Cells", 24th IEEE European Conference on Networks and Communications (EuCNC), Paris, France, June – July 2015.
Ikram Ur Rehman, Nada Y. Philip and Robert Istepanian (2014) "Performance Analysis of Medical Video Streaming over 4G and Beyond Small Cells for Indoor and Moving Vehicle (Ambulance) Scenarios, 4th International Conference on Wireless Mobile Communication and Healthcare: Transforming Healthcare through innovations in mobile and wireless technologies (MobiHealth), Athens, Greece, November 2014.
Research degree supervision

Aamir Anwar, Principal Supervisor, "A Meta-Emotionally Intelligent Model Utilising Sentiment Analysis to Augment Online Learning Pedagogies".
Nevena Kostadinova Dicheva, Principal Supervisor, "Intelligent Tutoring for Nurses’ Training and Education: Utilising AI paradigms to augment teaching and learning pedagogies".
Zanab Safdar, Second Supervisor, "Smart Green Farming with Self-Sustained Internet of Trees: Energy Efficient Mobility-Based Environmental/Remote Monitoring Application".
Javed Mohammad, Second Supervisor, "Integrated Data Analytics in a Sustainable Project Management Environment: A Healthcare Case study in the UK".
Nurha Yingta, Third Supervisor, "The effectiveness of mobile health applications to support health and wellbeing for healthcare workers".