乌鸦传媒

Research Interests:
My research lies at the intersection of machine learning, natural language processing, and data science applications. I focus on developing intelligent systems that transform raw data into actionable insights, with applications spanning healthcare, employment matching, and education. My work includes text mining, sentiment analysis, and predictive modeling, often leveraging large-scale unstructured datasets.

The primary goal of my research is to bridge the gap between theoretical models and practical applications. I adopt a data-driven, application-focused approach to design algorithms and prototypes that address real-world challenges. By integrating statistical methods, optimization techniques, and machine learning algorithms, I aim to enhance knowledge discovery and support informed decision-making.

Current Research Directions:

• Text mining and language understanding, with a special focus on using generative AI models to improve Arabic language processing
• Leveraging natural language processing for personalized education through games and interactive learning tools
• Predictive modeling for employment matching and career pathway recommendations
• Data visualization techniques to improve comprehension and communication of insights