Dr. Rasha Mostafa

She received B.S., M.S., and Ph.D. degrees in Electronics and Electrical Communication Engineering from the faculty of Engineering, at Tanta University, Tanta, Egypt, in 2005, 2013, and 2020, respectively. Her M.Sc. and Ph.D. degrees are in Automatic Modulation Recognition in Wireless Communication Systems. Currently, she is working as a researcher at the Computersand Systems Department, Electronics Research Institute (ERI), Cairo, Egypt. Her research interests include wireless communications, signal processing, image processing, and speech processing.
Recent publications:
- Al-Makhlasawy, Rasha M., Mayada Khairy, and Walid El-Shafai. "Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks." EURASIP Journal on Advances in Signal Processing 2023, no. 1 (2023): 120.
- Ghanem, Hanan S., Rasha M. Al-Makhlasawy, Walid El-Shafai, Maha Elsabrouty, Hesham FA Hamed, Gerges M. Salama, and Fathi E. Abd El-Samie. "Wireless modulation classification based on Radon transform and convolutional neural networks." Journal of Ambient Intelligence and Humanized Computing 14, no. 5 (2023): 6263-6272.
- M. Mohamed Nour, Rasha M. Al- Makhlasawy, “Performance Analysis and Evaluation of Image Classification Models using Machine Learning”, Journal of Theoretical and Applied Information Technology, 100 (December), 2022.
- Abdel‐Moneim, Mohamed A., Rasha M. Al‐Makhlasawy, Nariman Abdel‐Salam Bauomy, El‐Sayed M. El‐Rabaie, Walid El‐Shafai, Ahmed EA Farghal, and Fathi E. Abd El‐Samie. "An efficient modulation classification method using signal constellation diagrams with convolutional neural networks, Gabor filtering, and thresholding." Transactions on Emerging Telecommunications Technologies 33, no. 5 (2022): e4459.
- Mohamed, Safie El-Din Nasr, Rasha M. Al-Makhlasawy, Muhammed Abdelaziz, Ashraf AM Khalaf, Moawad I. Dessouky, and Fathi E. Abd El-Samie. "Efficient utilization of Hough transform and orthogonal-triangular decomposition for optical wireless modulation format recognition." Applied Optics 61, no. 4 (2022): 875-883.
- Al‐Makhlasawy, Rasha M., Hanan S. Ghanem, Hossam M. Kassem, Maha Elsabrouty, Hesham FA Hamed, Fathi E. Abd El‐Samie, and Gerges M. Salama. "Deep learning for wireless modulation classification based on discrete wavelet transform." International Journal of Communication Systems 34, no. 18 (2021): e4980.