Basma Abd El-Rahiem
Papers
1
Total Citations
19
H-Index
1
About
Basma Abd El-Rahiem is a researcher at the forefront of integrating artificial intelligence with signal processing and robotics. Her work primarily focuses on speaker identification and biometric systems, particularly in challenging, real-world environments. In her highly cited 2021 paper, "Speaker identification based on Radon transform and CNNs in the presence of different types of interference for Robotic Applications," she pioneered a novel approach that combines the Radon transform with convolutional neural networks (CNNs) to robustly identify speakers despite background noise and interference. This contribution is critical for advancing human-robot interaction, enabling robots to reliably recognize and respond to specific individuals in dynamic settings. With 19 citations, this work has already influenced subsequent research in robust audio processing and robotic perception. Abd El-Rahiem’s research not only pushes the boundaries of machine learning in audio analysis but also addresses practical challenges in deploying intelligent systems in noisy, uncontrolled environments, marking her as a promising voice in the intersection of AI and robotics.
Research Focus
Key Achievements
Top Papers
- 1