dr noha gamal

Dr. Noha Gamal

Assistant Professor, Co-Director of the Computer Science Program and Associate Researcher in Center for Informatics Sciences

Biography

Dr. Noha Gamal El-Din Saad Ali is an Assistant Professor and Co-Director of the Computer Science Program at the School of Information Technology and Computer Science (ITCS), Nile University, and an Associate Researcher at the Center for Informatics Sciences (CIS). She joined Nile University in 2015, bringing extensive academic, research, technical, and managerial experience spanning more than 25 years. 

She received her Ph.D. in Computer and Information Sciences, specializing in Computer Systems, from Ain Shams University in 2023. Her doctoral research focused on AI-driven, graph-based prediction and diagnosis of communicable diseases using social networks and heterogeneous data. She received her M.Sc. in Communications and Information Technology from Nile University in 2015, with research focusing on network security and reputation-based detection and mitigation of malicious behavior in wireless ad hoc networks. She earned her B.Sc. in Electrical Engineering, Communications and Electronics, from Alexandria University in 2001. 

Her research focuses on Applied Artificial Intelligence and the development of intelligent, data-driven systems addressing real-world challenges across education, healthcare, cybersecurity, smart cities, human mobility, accessibility, and socioeconomic applications. Her interests include machine learning and deep learning, explainable and responsible AI, large language models and retrieval-augmented generation, multilingual natural language processing, cybersecurity, multimodal and cross-modal learning, public-health informatics, human mobility analytics, and remote-sensing big-data analysis. 

Dr. Noha has extensive experience in curriculum development, academic governance, research supervision, and project-based education. She has supervised hundreds of undergraduate students through graduation projects, research internships, and applied innovation activities and has actively supported undergraduate research resulting in publications at international journals and conferences. 

Her work emphasizes bridging academic research with practical impact through interdisciplinary collaboration, industry engagement, student innovation, and the development of AI-enabled solutions addressing societal and industrial challenges. 

Achievements

  • Organized and supported large-scale student research, innovation, and technical activities, including NU ICPC activities involving more than 700 participants, the Quantum Summer School and Competition involving more than 100 participants, and the Generative AI workshop held within NILES 2025 for more than 100 students. 

  • Contributed to the organization and supervision of an AI Hackathon in collaboration with MLSA and industry partners, involving more than 350 participants. 

  • Led and contributed to interdisciplinary AI projects addressing education, healthcare, cybersecurity, accessibility, smart-campus services, urban mobility, and social-impact applications. 

  • Contributed extensively to academic governance, curriculum development, course specifications and assessment design, quality assurance, accreditation activities, graduation-project management, examination monitoring, and undergraduate and postgraduate academic development. 

  • Served as reviewer for many prestigious journals, conference session chair, invited speaker, mentor, and jury member in academic, research, innovation, and student competitions and events. 

Research Tracks

  • Applied Artificial Intelligence and Intelligent Systems 

  • Machine Learning and Deep Learning 

  • Explainable, Responsible, and Trustworthy AI 

  • Generative AI, Large Language Models, and Retrieval-Augmented Generation 

  • Multilingual Natural Language Processing 

  • Network and Cybersecurity 

  • Multimodal and Cross-Modal Learning 

  • AI for Education and Intelligent Assessment 

  • AI for Healthcare and Public-Health Informatics 

  • Human Mobility Analytics, Smart Cities, and Urban Intelligence 

  • Remote Sensing and Big-Data Analytics 

  • AI for Accessibility and Social Impact