Thermal Modelling and Simulation of Data Centre Infrastructure
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A simulation and predictive modelling framework for analysing thermal behaviour and cooling efficiency in data centre environments.
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A simulation and predictive modelling framework for analysing thermal behaviour and cooling efficiency in data centre environments.
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A computational imaging and machine learning framework for monitoring neurodegenerative disease progression using microwave sensing technologies.
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Computer vision and intelligent sensing technologies for unobtrusive monitoring of elderly activity and independence in smart care environments.
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An AI-driven human pose analysis system for automated movement assessment and rehabilitation feedback developed in collaboration with industry partners.
Published in , 2017
Published in IJACSA) International Journal of Advanced Computer Science and Applications, 2017
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Recommended citation: Usman Shafique, Hikmat Khan, S Waqar, A Sher, Adnan Zeb, U Shafi, Rehmat Ullah "Modern authentication techniques in smart phones: Security and usability perspective." IJACSA) International Journal of Advanced Computer Science and Applications, 2017.
Published in MSc Thesis, COMSATS University Islamabad, Pakistan, 2017
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Recommended citation: Ullah, R. (2017). A Simulator for Analysis, Modeling and Visualization of Thermal Status in Data Center. MSc Thesis, COMSATS University Islamabad.
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Published in Sustainable Computing: Informatics and Systems, 2018
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Recommended citation: Rahmat Ullah, Naveed Ahmad, Saif Malik, Saeed Akbar, Adeel Anjum "Simulator for modeling, analysis, and visualizations of thermal status in data centers." Sustainable Computing: Informatics and Systems, 2018.
Published in IEEE International RF and Microwave Conference (RFM), 2020, 2020
Recommended citation: Ullah, R., & Arslan, T. (2020). Detecting pathological changes in the brain due to Alzheimer disease using numerical microwave signal analysis. IEEE International RF and Microwave Conference (RFM).
Published in Algorithms, 2021
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Recommended citation: Rahmat Ullah, Tughrul Arslan "Parallel delay multiply and sum algorithm for microwave medical imaging using spark big data framework." Algorithms, 2021.
Published in IEEE Asia-Pacific Microwave Conference (APMC), 2021, 2021
Recommended citation: Ullah, R., Saied, I., & Arslan, T. (2021). Big Data-Machine Learning Processing of Recorded Radiofrequency Physiological and Pathological Measurements to Predict the Progression of Alzheimer’s Disease. IEEE APMC.
Published in IEEE International Symposium on Circuits and Systems (ISCAS), 2021, 2021
Recommended citation: Saied, I., Arslan, T., Ullah, R., Liu, C., & Wang, F. (2021). Hardware accelerator for wearable and portable radar-based microwave breast imaging systems. IEEE ISCAS.
Published in Sensors, 2022
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Recommended citation: Rahmat Ullah, Ikram Asghar, Mark Griffiths "An integrated methodology for bibliometric analysis: a case study of internet of things in healthcare applications." Sensors, 2022.
Published in PhD Thesis, University of Edinburgh, United Kingdom, 2022
Supervisor: Prof. Tughrul Arslan
Recommended citation: Ullah, R. (2022). Data-driven microwave imaging and processing techniques for monitoring neurodegenerative diseases. PhD Thesis, University of Edinburgh.
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Published in Data in brief, 2022
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Recommended citation: Rahmat Ullah, Imran Saied, Tughrul Arslan "Experimental radar data for monitoring brain atrophy progression." Data in brief, 2022.
Published in Biomedical Signal Processing and Control, 2022
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Recommended citation: Rahmat Ullah, Imran Saied, Tughrul Arslan "Measurement of whole-brain atrophy progression using microwave signal analysis." Biomedical Signal Processing and Control, 2022.
Published in IEEE Access, 2022
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Recommended citation: Saeed Akbar, Iftikhar Ahmad, Rizwan Khan, Ivandro Lopes, Rahmat Ullah "Multi-skills resource constrained and personality traits based project scheduling." IEEE Access, 2022.
Published in International Conference on Engineering and Emerging Technologies (ICEET), 2022, 2022
Recommended citation: Ullah, R., Asghar, I., Griffiths, M., Evans, G., & Dennis, R. (2022). An autonomous vehicle prototype for off-road applications based on deep convolutional neural network. ICEET.
Published in IEEE Transactions on Microwave Theory and Techniques, 2023
Recommended citation: Rahmat Ullah, Yinhuan Dong, Tughrul Arslan, Siddharthan Chandran "A machine learning-based classification method for monitoring Alzheimer’s disease using electromagnetic radar data." IEEE Transactions on Microwave Theory and Techniques, 2023.
Published in Data in Brief, 2023
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Recommended citation: Rahmat Ullah, Imran Saied, Tughrul Arslan "Microwave sensing dataset for noninvasive monitoring of ventricle enlargement due to Alzheimer's disease." Data in Brief, 2023.
Published in Biomedical Signal Processing and Control, 2023
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Recommended citation: Rahmat Ullah, Imran Saied, Tughrul Arslan "Multistatic radar-based imaging in layered and dispersive media for biomedical applications." Biomedical Signal Processing and Control, 2023.
Published in Conference on Cloud and Internet of Things (CIoT), 2023, 2023
Recommended citation: Ullah, R., Asghar, I., Griffiths, M., Stacey, C., Stiles, W., & Whitelaw, C. (2023). Internet of things based sensor system for vertical farming and controlled environment agriculture. CIoT.
Published in IEEE Transactions on Green Communications and Networking, 2024
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Recommended citation: Saeed Akbar, Ubaid Akbar, Rahmat Ullah, Zhonglong Zheng "A Coalitional Game-Based Adaptive Scheduler Leveraging Task Heterogeneity for Greener Data Centers." IEEE Transactions on Green Communications and Networking, 2024.
Published in IEEE Access, 2024
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Recommended citation: Xin Chen, Deze Zeng, Jiafeng Xu, Rab Nawaz, Rahmat Ullah, others "Classification of skin lesion with features extraction using quantum chebyshev polynomials and autoencoder from wavelet-transformed images." IEEE Access, 2024.
Published in Biomedicines, 2024
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Recommended citation: Rab Nawaz, Ho Suen, Rahmat Ullah, Mariel Purcell, Shannon Diggin, Euan McCaughey, Aleksandra Vuckovic "Electroencephalography longitudinal markers of central neuropathic pain intensity in spinal cord injury: a home-based pilot study." Biomedicines, 2024.
Published in IEEE Access, 2024
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Recommended citation: Saeed Akbar, Muhammad Zubair, Rizwan Khan, Ubaid Akbar, Rahmat Ullah, Zhonglong Zheng "Weighted multi-skill resource constrained project scheduling: a greedy and parallel scheduling approach." IEEE Access, 2024.
Published in Neural Networks, 2025
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Recommended citation: Xin Chen, Deze Zeng, Rahmat Ullah, Rab Nawaz, Jiafeng Xu, Tughrul Arslan, others "A deep learning approach for non-invasive Alzheimer’s monitoring using microwave radar data." Neural Networks, 2025.
Published in Scientific Reports, 2025
Recommended citation: Rahmat Ullah, Ikram Asghar, Rab Nawaz, Craig Stacey, Saeed Akbar, Peter Bishop "A real time action scoring system for movement analysis and feedback in physical therapy using human pose estimation." Scientific Reports, 2025.
Published in Frontiers in Oncology, 2025
Recommended citation: Latif, S., Brohi, S., Ahmad, J., Alqhatani, A., Alshehri, M., Al Mazroa, A., Ullah, R., et al. (2025). Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification. Frontiers in Oncology.
Published in Systems, 2025
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Recommended citation: Gbenga Aregbesola, Ikram Asghar, Saeed Akbar, Rahmat Ullah "Fuzzy Logic Model for Informed Decision-Making in Risk Assessment During Software Design." Systems, 2025.
Published in IEEE Access, 2025
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Recommended citation: Etizaz Shah, Syeda Ahsan, Muhammad Qureshi, Sohail Khalid, Rahmat Ullah, Mujeeb Rehman "Machine Learning and Multivariate Analysis of Depression Prevalence and Predictors in Acute Coronary Syndrome." IEEE Access, 2025.
Published in Journal of Intelligent Systems, 2025
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Recommended citation: Fahad Masood, Jawad Ahmad, Nada Alasbali, Ibtehal Nafea, Faisal Saeed, Rahmat Ullah "Multimodal data analysis for post-decortication therapy optimization using IoMT and reinforcement learning." Journal of Intelligent Systems, 2025.
Published in Frontiers in Medicine, 2025
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Recommended citation: Muhammad Umair, Jawad Ahmad, Oumaima Saidani, Mohammed Alshehri, Alanoud Al, Muhammad Hanif, Rahmat Ullah, Muhammad Khan "OculusNet: Detection of Retinal Diseases Using A Tailored Web-Deployed Neural Network and Saliency Maps for Explainable AI." Frontiers in Medicine, 2025.
Published in Frontiers in Computer Science, 2025
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Recommended citation: Nada Alasbali, Jawad Ahmad, Ali Siddique, Alanoud Al, Asif Raza, Rahmat Ullah, Muhammad Khan "Privacy-Enhanced Skin Disease Classification: Integrating Federated Learning in an IoT-Enabled Edge Computing." Frontiers in Computer Science, 2025.
Published in Technologies, 2025
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Recommended citation: Rahmat Ullah, Ikram Asghar, Saeed Akbar, Gareth Evans, Justus Vermaak, Abdulaziz Alblwi, Amna Bamaqa "Vision-based activity recognition for unobtrusive monitoring of the elderly in care settings." Technologies, 2025.
Published in IEEE Sensors Journal, 2026
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Recommended citation: Sagheer Khan, Usman Anwar, Kiran Khurshid, Rahmat Ullah, Tughrul Arslan, Moataz Ahmed "AI-Driven EMG Monitoring and Decision Support Framework." IEEE Sensors Journal, 2026.
Published in arXiv preprint arXiv:2601.20764, 2026
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Recommended citation: Saeed Akbar, Muhammad Waqas, Rahmat Ullah "Agentic Fog: A Policy-driven Framework for Distributed Intelligence in Fog Computing." arXiv preprint arXiv:2601.20764, 2026.
Published in Artificial Intelligence Review, 2026
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Recommended citation: Muhammad Abrar, Sohail Khalid, Rahmat Ullah, others "The intersection of artificial intelligence and assistive technologies in the diagnosis and intervention of mental health conditions." Artificial Intelligence Review, 2026.
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Presentation on microwave signal processing and machine learning for monitoring neurodegenerative diseases.
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Conference presentation describing the Skystrm activity monitoring system, which uses computer vision techniques to analyse movement patterns of older adults and detect deviations from normal behaviour to support independent living and remote caregiving.
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Conference presentation describing a data-driven framework for personalized usage-based insurance premiums by integrating driving behaviour, accident statistics, weather conditions, and geographical risk factors to estimate journey risk.
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Conference presentation describing machine learning approaches for forensic audio analysis, including speaker diarization and gender classification using neural network models.
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Invited guest lecture delivered to undergraduate students covering principles of software testing, quality assurance methodologies, and industry best practices.
Undergraduate Teaching, Iqra National University, Peshawar, 2016
Prior to my PhD, I served as a Lecturer in Computer Science delivering core undergraduate modules in software engineering and programming.
Teaching Assistant, University of Edinburgh, 2019
During my doctoral studies, I worked as a Teaching Assistant supporting laboratory sessions, coursework assessment, and student supervision across several undergraduate engineering modules.
Undergraduate Teaching, University of Essex, School of Computer Science and Electronic Engineering, 2023