Ayman Abdel Mohaimen

Natural Language Processing (NLP): Explore techniques and models for understanding and generating human language, such as sentiment analysis, text summarization, question answering, or language translation. Reinforcement Learning: Study how agents can learn to make decisions and take actions in an environment, focusing on topics like deep Q-learning, policy optimization, or multi-agent systems. Computer Vision: Research methods for analyzing and understanding visual data, including object detection, image classification, facial recognition, or video understanding. Chatbots and Conversational AI: Investigate techniques to develop intelligent chatbots and conversational agents that can understand and generate meaningful human-like dialogue, covering areas like dialogue management, emotion recognition, or context understanding. Explainable AI: Explore approaches to make AI models more interpretable and explainable, aiming to understand the decision-making process and provide insight into the black box nature of complex models. Ethical AI: Investigate the ethical implications and societal impacts of AI and ML technologies, focusing on topics like bias and fairness, privacy concerns, transparency, or accountability of AI systems.