Personal profile
Research Interests
Research Interest:
- Healthcare Technologies
- Wearable RF Sensing
- Vital Signs Montoring (Cardiac Rate, Respiratory Rate and Blood Pressure Monitoring)
- Beamforming
- Advanced Signal Processing
- Antenna Design
Short Biography:
Dr. Syed Aziz Shah was appointed as an Associate Professor in the Research Centre for Intelligent Healthcare (CIH) at Coventry University (CU) in 2020. He is an interdisciplinary researcher focusing on advanced radio frequency (RF) sensor design and signal processing using RF and THz sensing, specifically for healthcare applications. He is highly motivated to utilize and develop advanced technologies that address the unmet healthcare challenges of unobtrusive monitoring of older adult daily activities for health and wellbeing purposes.
He is recipient of UK's prestigious Engineering and Physical Sciences Research Council (EPSRC) New Investigator Award. Dr. Aziz also received the endorsement of UK exceptional talent candidate (‘Emerging Leader’) in year 2018, for the pioneering work in the field of wireless sensing for remote patient monitoring. These prestigious awards are given to early-career, world-leading innovators and scientists from the Royal Academy of Engineering.
He has grant portfolio of ~£1.2M; won 8 fully-funded projects as Principle Investigator / Principle Supervisor from national and international funding bodies. Notable research projects include:
Research Grants Won – Principal Investigator / Lead
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UK Government's Engineering and Physical Sciences Research Council (EPSRC), New Investigator Award – Project Title: Radar Sensing for Human Activity Monitoring of Daily Living Simultaneously in Multiple Subjects, Grant No.: EPSRC Reference: EP/W037076/1, Funding Amount: GBP 415,000 fEC.
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DIKTI–Coventry University Doctoral Scholarship Program – Project Title: Detecting Falls Using Channel State Information in a Communication System Based on Intelligent Reflecting Surfaces, Funding .
Research Grants Won – Coventry Lead
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EPSRC and CHEDDER HUB – Project Title: SecureSense: A Secure 6G Enabled Realtime Joint Communication and Sensing Testbed, Funding Amount: GBP 200,000.
- EPSRC and CHEDDER HUB – Project Title: Securesense+: Enhanced Secure 6G Real-Time Joint Communication And Sensing Testbed : GBP 60,000
PhD Projects (Fully Funded)– Principal Supervisor / Lead
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Coventry University - EPSRC Matched Funding – Project Title: RF Sensing for Falls Detection in Heterogeneous Environments
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Coventry University's Doctoral College Funding Scheme – Project Title: Non-Invasive Sensor-fusion for Detecting and Monitoring COVID-19 Disease Symptoms
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Coventry University (UK) – Deakin University (Australia) Joint Funding Scheme (Cotutelle) – Project Title: Conversational Question-Answering System for Healthcare (Medical) Information Retrieval
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Coventry University (UK) – Agency for Science, Technology and Research (A*STAR) (Singapore) Joint Funding Scheme (Cotutelle) – Project Title: Developing AI-based Multi-Modal Sensing Platform and Advanced Signal Processing Techniques to Examine the Impact of Falls on Health Parameters/Vital Signs
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Coventry University (UK) – Deakin University (Australia) Joint Funding Scheme (Cotutelle) – Project Title: Understanding Mechanical Vibrations of Vocal Folds for Speech Processing Through Advanced Radar Sensing To Retrieve Healthcare Information,
Dr. Aziz has published 130 scientific articles (90 in top-tier peer-reviewed multidisciplinary journals including IEEE TAP, IEEE AWPL and IEEE JBHI), given 10 presentations at leading international peer-reviewed conferences (including RADAR Conference France, UCET Conference UK and AECT Conference KSA). He has also served as technical chairperson for leading conferences including UCET, and SIA, and received distinguished guest talk invitations from Glasgow Caledonian University (UK), National University of Science and Technology (Pakistan), North West Polytechnical University (China) and Palestine Technical University (Palestine).
Education/Academic qualification
Electronics Engineering, Degree, COMSATS University Islamabad
Wireless Networks and Electronics, MEng, Linköping University
Communication and Information System Engineering, Degree, Xidian University
External positions
Lecturer, COMSATS University Islamabad
Lecturer (Assistant Professor), Manchester Metropolitan University
Research Associate, University of Glasgow
Research Scholar, Xidian University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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A review of remote sensing-based crop yield estimation: machine learning techniques and environmental, algorithmic, and hardware limitations
Muhammad, A., Mashori, A. S., Jan, M., Han, Z., Li, F., Jan, S. & Shah, S. A., 19 Mar 2026, In: Frontiers in Plant Science. 17, 33 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile13 Downloads (Pure) -
Privacy Enhancing Technologies for Intelligent Healthcare: Research Challenges and Opportunities
Khan, F., Shah, S. A., Tahir, S., Yasin Ghadi, Y., Shah, S. I., Zahid, A., Ahmad, J. & Hussain Abbasi, Q., 31 May 2026, In: ACM Computing Surveys. 58, 7, p. 1-27 27 p., 170.Research output: Contribution to journal › Article › peer-review
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Repurposing halide perovskites for coupled photovoltaic and thermoelectric energy conversion
Xiaoyu, T., Shah, S. A., Abbasi, Q. H., Abbas, N. & Fatima, N., 7 Jan 2026, In: International Journal of Modern Physics B. 40, 5, 2650036.Research output: Contribution to journal › Article › peer-review
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Advancements in Blood Group Classification: A Novel Approach Using Machine Learning and RF Sensing Technology
Arslan, M. M., Guan, L., Yang, X., Zhao, N., Shah, A. A., Khan, M. B., Rehman, M., Shah, S. A. & Abbasi, Q. H., 21 Aug 2025, In: IEEE Journal of Selected Areas in Sensors. 2, p. 266-277 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure) -
Analytical Modeling, Simulation, and Cold Testing of a Radial SWS for THz Applications
Jameel, A., Wang, Z., Latif, J., Nadeem, M. K., Shah, S. A., Ali, B. & Gong, Y., Sept 2025, In: IEEE Transactions on Terahertz Science and Technology. 15, 5, p. 903-913 11 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus)
Datasets
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Intelligent RF Sensing for Falls and Health Prediction - INSHEP - Dataset
Shah, S. (Creator), EPSRC and University of Glasgow , 2019
DOI: 10.5525/gla.researchdata.848, https://doi.org/10.1049/el.2019.2378
Dataset
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Multistatic RADAR Sensing for Activity Monitoring of Daily Living Simultaneously in Multiple Subjects
Shah, B. A. (Creator), Shah, S. A. (Contributor), Khan, F. (Contributor), Liu, H. (Contributor) & Zheng, D. (Contributor), Coventry University, 31 Dec 2025
DOI: 10.57955/65ddaf66-95f1-4609-85a1-2e48cda22f18
Dataset