Total Publications
12
Total Citations
1212
Avg Citations
101
Institutions
3
We present a novel neural-symbolic architecture that combines deep learning with symbolic reasoning to achieve state-of-the-art performance on Arabic dialect understanding tasks.
This paper introduces an explainable AI framework for medical image analysis that provides interpretable diagnoses while maintaining high accuracy, specifically designed for deployment in resource-limited healthcare settings.
We demonstrate a hybrid quantum-classical machine learning algorithm that achieves exponential speedup for certain optimization problems, with applications in drug discovery and materials science.
This work presents a cognitive architecture enabling multiple AI agents to collaborate effectively by sharing knowledge representations and coordinating decision-making processes.
This paper presents a neuromorphic chip design achieving 100x energy efficiency compared to traditional processors, enabling more sustainable AI systems.
We develop federated learning approaches that enable collaborative medical AI model training across hospitals while preserving patient privacy and data sovereignty.
This work integrates common sense knowledge graphs with neural networks to enable AI systems to reason about everyday situations and physical relationships.
We develop and deploy computer vision systems for crop monitoring and irrigation optimization in Egyptian farms, demonstrating significant improvements in yield and water efficiency.
We propose an ethical AI framework that incorporates Middle Eastern cultural values and norms, ensuring AI systems align with regional societal expectations.
This work develops reinforcement learning algorithms for autonomous navigation in complex urban environments, with applications in traffic management and autonomous vehicles.
We demonstrate effective transfer learning techniques that enable AI models trained on Modern Standard Arabic to generalize to various regional dialects with minimal fine-tuning.
This paper applies quantum annealing techniques to molecular optimization problems, significantly accelerating the drug discovery process for complex diseases.