Omar Khalifa
PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.
Research Interests
AI, IoT, Wireless Communications.
Awards and Distinctions
- First Honor student at KFUPM- GPA of 3.98, King Fahd University, 2022
- Backstroke swimming contest, 2nd place, King Fahd University of Petroleum & Minerals, 2019
- Education Excellence Award - 2nd Place, Saudi Ministry of Education, 2018
- Physics Department Award For Excellence , Physics Department at KFUPM, 2018
- Together against terrorism, 2nd place., Ministry of Education Saudi Arabia, 2016
- Best volunteering team, Qasim area, General Directorate of Education at Al-Qasim, 2016
- 1st place winner of Educational Mobile Applications Development over Al-Qassim Area, Saudi Arabia., Al-Qassim Area, Saudi Arabia, 2016
Qualifications
Education
- Bachelor of Engineering (B.Eng.)
- Electrical and Electronic Engineering, King Fahd University of Petroleum & Minerals (KFUPM) , Saudi Arabia, 2022
Licenses and Certifications
- IELTS 7.5 score, IELTS Official, Tue, Nov 2 2021
- Deep Learning Specialization , coursera, Wed, Jan 1 2020
- THE STUDENTS MENTORSHIP PROGRAM , Center of Nanotechnology), KFUPM, Sun, Dec 1 2019
- Raeed Program for the Leadership of Non-profit teams and Organizations , AlFozan Academy, Mon, Jul 1 2019
Quote
What I appreciate the most about my experience at KAUST is having the opportunity to contribute with my knowledge about Artificial Intelligence in a real life project that will benefit the others
Selected Publications
- Khalifa, O. ., Kouzayha, N. ., Hussaini, M. A., ElSawy, H. ., Al-Harthi, N. ., Elmirghani, J. ., … Al-Naffouri, T. Y. (2023). Energy Conservative Data Aggregation for IoT Devices: An Aerial Wake-up Radio Approach. IEEE Internet of Things Journal. Presented at the. IEEE.
- Mohammed, A. S., Khalifa, O. ., Alhejab, A. ., Abdelrahman, A. S., Al-Radhwan, A. ., ElSawy, H. ., … Al-Naffouri, T. Y. (2023). Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR. IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). Presented at the. IEEE.
