Professor Fahim Kawsar
- Professor of Mobile Systems (School of Computing Science)
email:
Fahim.Kawsar@glasgow.ac.uk
The University of Glasgow uses cookies for analytics and advertising. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar helps us to understand and improve our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
email:
Fahim.Kawsar@glasgow.ac.uk
Ayaz, F., Hussain, S. , Ahmad, W., Kawsar, F., Imran, M. A. and Zoha, A. (2022) Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, (Accepted for Publication)
Gashi, S., Min, C., Montanari, A., Santini, S. and Kawsar, F. (2022) A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices. Scientific Data, 9, 537. (doi: 10.1038/s41597-022-01643-5)
Gashi, S., Min, C., Montanari, A., Santini, S. and Kawsar, F. (2022) A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices. Scientific Data, 9, 537. (doi: 10.1038/s41597-022-01643-5)
Ayaz, F., Hussain, S. , Ahmad, W., Kawsar, F., Imran, M. A. and Zoha, A. (2022) Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, (Accepted for Publication)