Mahmoud is a PhD researcher in machine learning. He also holds a
bachelor's degree in physical science and a master's degree in
telecommunications and networking systems. His current areas of
research concern computer vision, stock market prediction and deep
learning. He produced several scientific articles about person re-
identification and the study of the robustness and stability of deep
networks.
In machine learning, generative models that can produce images based on text inputs have made significant progress in recent years, with various approaches showing...
Person re-identification (Person Re-ID) is a sophisticated computer vision approach that makes identifying people using surveillance cameras at different places and times easier. Using...
Stock market behavior forecasting is a crucial undertaking that requires careful attention since, with the right choices, a successful prediction of stock prices might...
Text-to-image generation systems have become increasingly popular for creating digital art. These systems allow anyone to create high-quality digital images by simply inputting natural...
Anonymization is a significant problem when handling Industrial Internet of Things (IIoT) data. Machine Learning (ML) applications require decrypted data to perform tasks efficiently,...
Anonymization is a critical problem in the context of face recognition and identification algorithms. With the increasing productization of these technologies, ethical concerns have...
Image anonymization is the practice of modifying or removing sensitive information from images to protect privacy. While important for complying with privacy regulations, anonymization...
Multi-faceted models strive to integrate data from diverse sources, including written language, pictures, and videos, to execute various functions. These models have demonstrated considerable...
The out-of-distribution (OOD) detection in deep learning models, particularly in image classification, addresses the challenge of identifying inputs unrelated to the model's training task....
In recent years, the need for competent programmers has increased the number of people learning to code. However, a teacher shortage makes it difficult...
In recent years, with the exponential growth in the availability of personal data and the rapid advancement of technology, concerns regarding privacy and security...
In recent years, image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have gained considerable attention for their remarkable ability to generate...
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