Hind Rahim Hadi Al-Mayali

Dr. Hind Rahim Hadi Al-Mayali Dr. Hind Rahim Hadi Al-Mayali is an academic and researcher specializing in Computer Science, Artificial Intelligence, and Natural Language Processing (NLP). She holds a Bachelor's degree in Computer Science from the University of Kufa (2009) and a Master's degree in Computer Science from the same university (2021), specializing in Signal Processing and Artificial Intelligence. She also earned her Ph.D. in Artificial Intelligence and Natural Language Processing from the University of Kufa in 2025. Dr. Al-Mayali has academic and teaching experience in Computer Science, Arabic, and English, emphasizing practical, project-based learning approaches that integrate theoretical knowledge with real-world applications. Her research interests include Artificial Intelligence, Arabic Natural Language Processing, Machine Learning, Deep Learning, Sentence Embeddings, Transformer-Based Language Models, Arabic Text Summarization, and Signal Processing. She also possesses technical expertise in Python and MATLAB for developing intelligent computational models. Her research contributions include four published scholarly works in scientific journals and international conference proceedings, addressing advanced approaches to Arabic sentence representation using AraBERT and FastText, the evaluation of extractive Arabic text summarization models, hybrid techniques for Arabic document summarization, and deep-learning-based frequency estimation for software-defined radio and Internet of Things (IoT) communications. Her academic contributions reflect a commitment to advancing Arabic language technologies, improving automated text analysis, and applying artificial intelligence techniques to modern computing and communication systems.