Professor
519-253-3000 ext. 4795
eraheem@uwindsor.ca
Office: 3047 CEI
Research Interests
- Digital Signal/Image Processing
- Signal Processing for Communications
- Biomedical Signal Processing & Biomedical Engineering
- Cognitive Radio Networks
- VLSI Implementations of Signal Processing Algorithms & Communication Systems
Education
- B.Sc. in Electrical Engineering (Electronics & Communication), Ain Shams University, Cairo, Egypt, 1984.
- M.Sc. in Electrical Engineering, Ain Shams University, Cairo, Egypt, 1989.
- Ph.D. in Electrical Engineering from the University of Victoria, Victoria, BC, Canada, 1995.
Professional Affiliations
- P.Eng., Professional Engineers, Ontario (Since 2007)
- Senior Member of IEEE (Since 2000)
Selected Publications
- Z. Tan, D. Wang, Q. Liu, Z. Li, N. Zhang and E. Abdel-Raheem, Deep Learning Aided Multi-level Transmit Power Recognition in Cognitive Radio Networking, IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 2, pp. 332-344, April 2023, doi: 10.1109/TCCN.2023.3235738.
- R. Islam, E. Abdel-Raheem, M. Tarique, A Study of using Cough Sounds and Deep Neural Networks for the Early Detection of COVID-19, Biomedical Engineering Advances, Elsevier, available online: https://doi.org/10.1016/j.bea.2022.100025, Jan. 2022.
- Salem Alsaid, Khaled Mayyas, and Esam Abdel-Raheem, Toward Optimally Structured Lattice RLS Filters Using Variable Tap-length Scheme, Engineering Optimization, Taylor&Francis, Accepted on Apr. 7th, 2021. DOI: 10.1080/0305215X.2021.1915300.
- Sudipta Modak, Luay Taha, and Esam Abdel-Raheem, A novel method of QRS detecting using time and amplitude thresholds and statistical false peak elimination, IEEE Access, Vol. 9, pp. 46079-46092, Mar. 2021, DOI: 10.1109/ACCESS.2021.3067179.
- R. Islam, M. Tarique, and E. Abdel-Raheem, A Survey on Signal Processing Based Pathological Voice Detection Techniques, IEEE Access, Vol. 8, pp. 66749-66776, Apr.2020, DOI: 10.1109/ACCESS.2020.2985280.
- F. Awin, E. Abdel-Raheem, and K. Tepe, Blind Spectrum Sensing Approaches for Cognitive Radio System: A Tutorial and Short Course, IEEE Comm. Surveys & Tut., Vol.21, Iss. 1, pp. 238-259, First quarter 2019.
- L. Taha and E. Abdel-Raheem, A Computationally Efficient Blind Source Extraction and Noise Cancellation Utilizing Linear Predictor and a Class of LMS Adaptive Filters, IET Signal Process., Vol. 12, Iss. 8, pp. 1009-1016, 2018.
- F. Awin, E. Abdel-Raheem, and M. Ahmadi, Designing an Optimal Energy Efficient Cluster-Based Spectrum Sensing for Cognitive Radio Networks, IEEE Commun. Lett., vol. 20, Issue 9, pp. 1884-1887, June 2016.