Dr Rahmat Ullah
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Email
rahmat.ullah@essex.ac.uk -
Location
Colchester Campus
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Academic support hours
During Autumn Term, my Academic Support Hours are 14:00 - 16:00 on Fridays. I will be in my office, Main Academic Building, Room 5A.531, or you can join via Zoom at https://essex-university.zoom.us/my/rahmatullah.
Profile
Biography
Dr Rahmat is a Lecturer at the School of Computer Science and Electronic Engineering, University of Essex. He previously worked as a Research & Development Associate with the Faculty of Computing, Engineering and Science, University of South Wales, U.K. Rahmat received his Master’s in Software Engineering from COMSATS University, Islamabad, Pakistan, and his PhD from the School of Engineering, University of Edinburgh, U.K. During his PhD, his research focused on data-driven solutions for detecting neurodegenerative disease, and he worked closely with the Centre for the Clinical Brain Sciences University of Edinburgh. Rahmat is an Associate fellow of Higher Education Academy UK and has won a gold medal in his bachelor of Information Technology degree. Dr Rahmat has a strong background in software engineering, data, and signal processing. He is mainly interested in health data and digital health. His work has been recognized, published in several high-impact journals, and presented at international conferences. He is also reviewing for multiple journals, including IEEE Trans. Of Computational Imaging, IEEE Access, IEEE Internet of Things, IEEE Sensors and Biomedical Signal Processing and Control. Potential students interested in working on biomedical signal processing, microwave imaging, big health data, digital health, or machine learning can contact him by email.
Qualifications
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PhD in Engineering University of Edinburgh, (2022)
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Master of Science in Software Engineering COMSATS University Islamabad, (2017)
Appointments
University of Essex
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Lecturer, School of Computer Science & Electronic Engineering, University of Essex (1/8/2023 - present)
Other academic
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Research & Development Associate, Faculty of Computing, Engineering and Science, University of South Wales (10/5/2022 - 30/6/2023)
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Teaching Assistant, School of Engineering, University of Edinburgh (1/10/2018 - 1/4/2023)
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Lecturer, Computer Science, Iqra National University (3/4/2017 - 1/8/2018)
Research and professional activities
Research interests
Biomedical Signal Processing
Methods/Algorithms for processing and interpreting signals from medical devices and sensors
Microwave/RF Imaging
Develop novel algorithms for image reconstruction using RF scattering data, particularly for portable devices.
Neurodegenerative Diseases Detection and Monitoring
Data-driven techniques for the detection and monitoring of neurodegenerative diseases, especially Alzheimer's.
Smart Home Technologies for Elderly Care
Developing innovative smart home solutions, particularly focused on enhancing the independence and safety of the elderly using unobtrusive sensors and IoT-based solutions.
ML/DL for Digital Health
Using ML and DL to analyze large healthcare datasets, improving diagnostics and personalized treatments.
Teaching and supervision
Current teaching responsibilities
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Large Scale Software Systems and Extreme Programming (CE320)
Publications
Journal articles (16)
Farhatullah, Chen, X., Zeng, D., Ullah, R., Nawaz, R., Xu, J. and Arslan, T., (2025). A deep learning approach for non-invasive Alzheimer's monitoring using microwave radar data.. Neural Networks. 181, 106778-106778
Akbar, S., Zubair, M., Khan, R., Akbar, UU., Ullah, R. and Zheng, Z., (2024). Weighted Multi-Skill Resource Constrained Project Scheduling: A Greedy and Parallel Scheduling Approach. IEEE Access. 12, 29824-29836
Akbar, S., Akbar, UU., Ullah, R. and Zheng, Z., (2024). A Caolitional Game-Based Adaptive Scheduler Leveraging Task Heterogeneity For Greener Data Centers. IEEE Transactions on Green Communications and Networking, 1-1
Farhatullah, Chen, X., Zeng, D., Xu, J., Nawaz, R. and Ullah, R., (2024). Classification of Skin Lesion with Features Extraction Using Quantum Chebyshev Polynomials and Autoencoder from Wavelet-Transformed Images. IEEE Access, 1-1
Nawaz, R., Suen, H., Ullah, R., Purcell, M., Diggin, S., McCaughey, E. and Vuckovic, A., (2024). Electroencephalography Longitudinal Markers of Central Neuropathic Pain Intensity in Spinal Cord Injury: A Home-Based Pilot Study. Biomedicines. 12 (12), 2751-2751
Ullah, R., Saied, I. and Arslan, T., (2023). Microwave sensing dataset for noninvasive monitoring of ventricle enlargement due to Alzheimer's disease. Data in Brief. 47, 109006-109006
Ullah, R., Dong, Y., Arslan, T. and Chandran, S., (2023). A Machine Learning-Based Classification Method for Monitoring Alzheimer’s Disease Using Electromagnetic Radar Data. IEEE Transactions on Microwave Theory and Techniques. 71 (9), 4012-4026
Ullah, R., Asghar, I. and Griffiths, MG., (2023). An Integrated Methodology for Bibliometric Analysis: A Case Study of Internet of Things in Healthcare Applications. Sensors. 23 (1), 67-67
Ullah, R., Saied, I. and Arslan, T., (2022). Experimental radar data for monitoring brain atrophy progression. Data in Brief. 43, 108379-108379
Ullah, R., Saied, I. and Arslan, T., (2022). Multistatic radar-based imaging in layered and dispersive media for biomedical applications. Biomedical Signal Processing and Control. 82, 104568-104568
Akbar, S., Ahmad, I., Khan, R., Lopes, IO. and Ullah, R., (2022). Multi-Skills Resource Constrained and Personality Traits Based Project Scheduling. IEEE Access. 10, 131419-131429
Ullah, R. and Arslan, T., (2021). Parallel Delay Multiply and Sum Algorithm for Microwave Medical Imaging Using Spark Big Data Framework. Algorithms. 14 (5), 157-157
Ullah, R., Saied, I. and Arslan, T., (2021). Measurement of whole-brain atrophy progression using microwave signal analysis. Biomedical Signal Processing and Control. 71, 103083-103083
Ullah, R. and Arslan, T., (2020). PySpark-Based Optimization of Microwave Image Reconstruction Algorithm for Head Imaging Big Data on High-Performance Computing and Google Cloud Platform. Applied Sciences. 10 (10), 3382-3382
Ullah, R., Ahmad, N., Malik, SUR., Akbar, S. and Anjum, A., (2018). Simulator for modeling, analysis, and visualizations of thermal status in data centers. Sustainable Computing: Informatics and Systems. 19, 324-340
Shafique, U., Khan, H., Waqar, S-U-D., Sher, A., Zeb, A., Shafi, U., Ullah, R. and Ullah, R., (2017). Modern Authentication Techniques in Smart Phones: Security and Usability Perspective. International Journal of Advanced Computer Science and Applications. 8 (1), 331-340
Conferences (11)
Akbar, UU., Akbar, S., Ali, M., Ullah, R., Khan, R. and Lopes, IO., (2024). Extending Scratch Framework to Improve the Analytical Skills of Undergraduate Students
Akbar, S., Ullah, R., Khan, R., Asghar, I., Zubair, M. and Zheng, Z., (2023). A Multi-Criteria Decision-Making Framework for Software Project Management Tool Selection
Asghar, I., Ullah, R., Griffiths, MG., Warren, W., Dando, L. and Davies, J., (2023). A User-Centered System Usability Evaluation of a Virtual Reality Application Developed for Solar Farm Training
Ullah, R., Asghar, I., Griffiths, MG., Ballard-Smith, S. and Alonso, N., (2023). A Data-Driven Approach for Customized Pay-As-You-Drive Insurance Premiums
Asghar, I., Ullah, R., Griffiths, MG., Evans, G. and Vermaak, J., (2023). Skystrm: An Activity Monitoring System to Support Elderly Independence Through Smart Care Homes
Ullah, R., Asghar, I., Griffiths, MG., Stacey, C., Stiles, W. and Whitelaw, C., (2023). Internet of Things based Sensor System for Vertical Farming and Controlled Environment Agriculture
Ullah, R., Asghar, I., Griffiths, MG., Evans, G. and Dennis, R., (2022). An Autonomous Vehicle Prototype for Off-Road Applications based on Deep Convolutional Neural Network
Asghar, I., Ullah, R., Griffiths, MG., Warren, W., Thomas, R. and Frowen, G., (2022). Exploring the Impact of an Augmented Reality Application for Bespoke Musical Instruments
Ullah, R., Saied, I. and Arslan, T., (2021). Big Data-Machine Learning Processing of Recorded Radiofrequency Physiological and Pathological Measurements to Predict the Progression of Alzheimer’s Disease
Saied, I., Arslan, T., Ullah, R., Liu, C. and Wang, F., (2021). Hardware Accelerator for Wearable and Portable Radar-Based Microwave Breast Imaging Systems
Ullah, R. and Arslan, T., (2020). Detecting Pathological Changes in the Brain Due to Alzheimer Disease Using Numerical Microwave Signal Analysis
Dataset (2)
Ullah, R., Saied, I. and Arslan, T., (2023).Microwave sensing dataset for noninvasive monitoring of ventricle enlargement due to Alzheimer's disease
Ullah, R., Saied, I. and Arslan, T., (2022).Experimental radar data for monitoring brain atrophy progression
Thesis dissertation (2)
Ullah, R., (2023). Data-driven microwave imaging and processing techniques for monitoring neurodegenerative diseases
Ullah, R., (2017). A Simulator for Analysis, Modeling and Visualization of Thermal Status in Data Center
Contact
Academic support hours:
During Autumn Term, my Academic Support Hours are 14:00 - 16:00 on Fridays. I will be in my office, Main Academic Building, Room 5A.531, or you can join via Zoom at https://essex-university.zoom.us/my/rahmatullah.
