About Abdullah Ahmed Zayat Abdullah Ahmed Zayat Ph.D. Student, Electrical and Computer Engineering wireless communication Signal processing machine learning indoor localization systems Biomedical Signal Processing Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST) Articles Related News August 2019 Wireless Monitoring of Respiration and Heart Rates 1 min read · Wed, Aug 7 2019 News Wireless Communications health monitoring ISL Visiting Students Safwan Ibrahim and Abdullah Zayat worked on a wireless monitoring of respiration and heart rates project. This project introduced a wireless method to detect chest movement due to respiration and heartbeats. Universal Software Radio Peripheral (NI USRP-2922) was used to transmit and receive the signals, while two can-antennas were handmade and used as a transmitter and a receiver. The project was able to measure the respiration and heart rates with an accuracy of 95%, compared to the conventional wired monitoring devices. Saudi Summer Internship (SSI) Poster Competition Winners 1 min read · Sun, Aug 4 2019 News Ultrasonic-based Localization machine learning Rawan Al Ghamdi, Abdulwahab Felemban and Abdullah Zayat were interns this summer as part of the Saudi Summer Internship (SSI) Program. This is a program involving undergraduates from various universities in the Kingdom and this year hosted 43 students. Abdulwahab and Abdullah worked on enhancing ultrasonic indoor localization and in particular using machine learning to classify arriving signals between line-of-sight and multi-path. Abdulwahab and Abdullah won the second place in the poster competition that took place at the end of the SSI program. Rawan Al-Ghamdi was an intern this summer as
Wireless Monitoring of Respiration and Heart Rates 1 min read · Wed, Aug 7 2019 News Wireless Communications health monitoring ISL Visiting Students Safwan Ibrahim and Abdullah Zayat worked on a wireless monitoring of respiration and heart rates project. This project introduced a wireless method to detect chest movement due to respiration and heartbeats. Universal Software Radio Peripheral (NI USRP-2922) was used to transmit and receive the signals, while two can-antennas were handmade and used as a transmitter and a receiver. The project was able to measure the respiration and heart rates with an accuracy of 95%, compared to the conventional wired monitoring devices.
Saudi Summer Internship (SSI) Poster Competition Winners 1 min read · Sun, Aug 4 2019 News Ultrasonic-based Localization machine learning Rawan Al Ghamdi, Abdulwahab Felemban and Abdullah Zayat were interns this summer as part of the Saudi Summer Internship (SSI) Program. This is a program involving undergraduates from various universities in the Kingdom and this year hosted 43 students. Abdulwahab and Abdullah worked on enhancing ultrasonic indoor localization and in particular using machine learning to classify arriving signals between line-of-sight and multi-path. Abdulwahab and Abdullah won the second place in the poster competition that took place at the end of the SSI program. Rawan Al-Ghamdi was an intern this summer as
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