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.
Biometric authentication has emerged as a promising solution to enhance security by offering a more robust defense against cyber threats. However, hackers can increasingly...
Wireless communication is the foundation of modern systems, enabling critical applications in military, commercial, and civilian domains. Its increasing prevalence has changed daily life...
Recent advances in natural language processing (NLP), led by large-scale pre-trained models such as GPT-3 and BERT, have transformed text generation and sentiment analysis...
Machine learning (ML) has revolutionized wireless communication systems, enhancing applications like modulation recognition, resource allocation, and signal detection. However, the growing reliance on ML...
Synthetic data creation uses sophisticated algorithms like GANs, VAEs, or diffusion models to generate imitation datasets that mimic the statistical characteristics of real-world data....
Mobile Vehicle-to-Microgrid (V2M) services enable electric vehicles to supply or store energy for localized power grids, enhancing grid stability and flexibility. AI is crucial...
Photovoltaic energy, which uses solar panels to turn sunlight into electricity, is an important part of the shift to renewable energy. Deep learning-based prediction...
Integrating AI-powered code-generating technologies, such as ChatGPT and GitHub Copilot, is revolutionizing programming education. These tools, by providing real-time assistance to developers, accelerate the...
Federated Learning (FL) is a successful solution for decentralized model training that prioritizes data privacy, allowing several nodes to learn together without sharing data....
As the scale of data continues to expand, the need for efficient data condensation techniques has become increasingly important. Data condensation involves synthesizing a...
Privacy in machine learning is critical, especially when models are trained on sensitive data. Differential privacy (DP) offers a framework to protect individual privacy...
A Large Language Model (LLM) is an advanced type of artificial intelligence designed to understand and generate human-like text. It's trained on vast amounts...
