Dr. Ahmad Rateb Senior Member

Cairo, Al Qahirah , Egypt  •  IEEE Egypt Section
Biography
Ahmad M. Rateb received his BSc degree in Electronics and Communications Engineering from Ain Shams University, Cairo, Egypt in 2007. He received his MSc and PhD degrees in Electrical Engineering from Universiti Teknologi Malaysia (UTM), Johor, Malaysia in 2009 and 2013 respectively. His research interests include compressed sensing, mathematical signal processing, optimization, wireless communications and 5G technologies.
Technical Expertise
Engineering Education Management
Signal Acquisition Systems Design
High and low-level HDL design
High-speed signal processing algorithms design
Special Skills
Technical Specialties
Wireless communications; Sub-Nyquist signal acquisition and reconstruction; Mathematical signal processing.
Interests
5G mobile communication
Cognitive radio
Compressed sensing
Dynamic spectrum access
Wireless communication
Genetic communication
Biomedical engineering
Experience
Dean/Professor/Instructor
Huaiyin Institute of Technology
Publications
Ahmad M. Rateb, "A Fast Compressed Sensing Decoding Technique for Remote {ECG} Monitoring Systems," IEEE} Access, vol. 8, pp. 197124 - -197133, 2020.
Ahmad M. Rateb and Mohamed Labana, "An Optimal Low Complexity {PAPR} Reduction Technique for Next Generation {OFDM} Systems," IEEE} Access, pp. 1 - -1, 2019.
Mohd Rozaini Abd Rahim, Rozeha A. RashidAhmad M. RatebMohd Adib SarijariAhmad Shahidan AbdullahAbdul Hadi Fikri Abdul Hamid, et al., "Service-Oriented Architecture for {IoT} Home Area Networking in 5G," in 5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management, 2018, pp. 577 - -602.
Ahmad M. Rateb, Sharifah-Kamilah Syed-Yusof, and Rozeha A. Rashid, "On the Impact of Prefiltering on Compressed Sensing in Presence of Invalid Measurements," IEEE} Signal Processing Letters, pp. 1 - -1, 2017.
Ahmad M. Rateb, Sharifah-Kamilah Syed-Yusof, and Rozeha A. Rashid, "A generic top-level mechanism for accelerating signal recovery in compressed sensing," Digital Signal Processing, vol. 69, pp. 237 - -251, 2017.