Ali Farhat
Ph.D. Candidate
| Degrees: | Master of Science in Electrical Engineering, 2018 |
| Email: | Alifarhat3@cmail.carleton.ca |
| Office: | ME 2455 |
| LinkedIn: | Connect |
Biography
Ali Farhat received his BSc. (2016) and MSc. (2018) degrees in Electrical Engineering from Qatar University, Qatar. Ali was ranked first on the engineering batch graduated in 2016. His graduation project entitled “HD ANPR on Heterogeneous SoC Platform” which won the second place at the Electrical Engineering Senior Design Project contest. His master thesis was “Pedestrian Detection Using Motion Saliency Aided Convolutional Neural Network”. Ali worked as a Graduate Assistant (GA) at the KINDI Research Center (2016-2017) and the Electrical Engineering Department (2017-2018) at Qatar University. Currently, Ali is a Ph.D. candidate at the Systems and Computer Engineering Department at Carleton University.
Research Interests
His research interests include computer security, internet of things, artificial intelligence, resource management for security services of IoT systems, image processing and video processing.
Publications
-
Journal Papers
- A. Farhat, A. Eldosouky, M. Ibnkahla and A. Matrawy, “Interaction-Aware Trust Management Scheme for IoT Systems With Machine-Learning-Based Attack Detection,” in IEEE Internet of Things Journal, vol. 12, no. 11, pp. 17169-17182, 1 June1, 2025, doi: 10.1109/JIOT.2025.3539646.
- Al-Zawqari, A., Hommos, O., Al-Qahtani, A., Farhat, A. A.H. et al.HD number plate localization and character segmentation on the Zynq heterogeneous SoC. J Real-Time Image Proc 16, 2351–2365 (2019). https://doi.org/10.1007/s11554-017-0747-7
- Farhat, A., Hommos, O., Al-Zawqari, A. Al-Qahtani, A. et al. Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system. J Image Video Proc. 2018, 58 (2018). https://doi.org/10.1186/s13640-018-0298-2
- A. Ait Si Ali, A. Farhat, S. Mohamed, A. Amira et al., “Embedded Platform for Gas Applications Using Hardware/Software Co-Design and RFID,” in IEEE Sensors Journal, vol. 18, no. 11, pp. 4633-4642, 1 June1, 2018, doi: 10.1109/JSEN.2018.2822711.
-
Conference Papers
- A. Farhat, M. A. Issa, A. Eldosouky, M. Ibnkahla, J. Jaskolka and A. Matrawy, “IoT-Enabled e-Health Systems: Navigating Security Challenges and Strategic Recommendations,” 2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD), Monastir, Tunisia, 2025, pp. 1-6, doi: 10.1109/SSD64182.2025.10990002.
- A. Farhat, A. Eldosouky, M. Ibnkahla and A. Matrawy, “IoT Trust Establishment Through System Level Interactions and Communication Attributes,” GLOBECOM 2023 – 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 5919-5924, doi: 10.1109/GLOBECOM54140.2023.10436821.
- A. A. H. Farhat, A. Al-Zawqari, O. Hommos, A. Al-Qahtani et al., “OCR-Based Hardware Implementation for Qatari Number Plate on the Zynq SoC,” 2017 9th IEEE-GCC Conference and Exhibition (GCCCE), Manama, Bahrain, 2017, pp. 1-9, doi: 10.1109/IEEEGCC.2017.8448145.
- O. Hommos, A. Al-Qahtani, A. Farhat, A. Al-Zawqari et al., “HD Qatari ANPR system,” 2016 International Conference on Industrial Informatics and Computer Systems (CIICS), Sharjah, United Arab Emirates, 2016, pp. 1-5, doi: 10.1109/ICCSII.2016.7462420.
- A. Farhat, A. Al-Zawqari, A. Al-Qahtani, O. Hommos et al., “OCR based feature extraction and template matching algorithms for Qatari number plate,” 2016 International Conference on Industrial Informatics and Computer Systems (CIICS), Sharjah, United Arab Emirates, 2016, pp. 1-5, doi: 10.1109/ICCSII.2016.7462419.