YU - Riyadh

Dr. Fatimah Alsayoud

Assistant Professor of Computer Science

Biography:

Dr. Fatimah Alsayoud is an Assistant Professor of Computer Science at Al-Yamamah University, Saudi Arabia, specializing in Artificial Intelligence, machine learning, and data analytics. She earned her Ph.D. and Master’s degrees in Computer Science from Toronto Metropolitan University, Canada, and her Bachelor’s degree in Computer and Information Science from King Saud University. Her doctoral research on performance modeling and storage optimization in big data ecosystems was nominated for the Canadian Governor General’s Academic Medal.

Her research focuses on Explainable AI (XAI), Large Language Models (LLMs), and AI applications in energy, business, and healthcare systems. She has published several peer-reviewed papers in international journals and conferences and actively contributes to advancing AI research and education.

Dr. Alsayoud is also a Women in Data Science (WiDS) Ambassador, organizing workshops and datathons to promote data science and empower women in technology. Through teaching, research, and community engagement, she works to develop innovative AI solutions that support real-world impact.

Publications:

Alsayoud, F., and Ayad, S. (2025). Dynamic Prompt-Based Framework for Pragmatic Quality Improvement in Business Process Models. IEEE Access.

Ayad, S., and Alsayoud, F. (2024). Prompt Engineering Techniques for Semantic Enhancement in Business Process Models. Business Process Management Journal.

Conferences:

Siddique, S., and Alsayoud, F. (2025). Multi-Tiered RAG-Based Chatbot for Mental Health Support. Proceedings of the Eighth International Women in Data Science Conference (WiDS), IEEE.

Ayad, S., and Alsayoud, F. (2024). Improving BPMN XOR Gateway Labels through Dynamic Prompt Engineering. Proceedings of the International Conference on Microelectronics (ICM), IEEE.

Ayad, S., Alsayoud, F., and Khelifa, L. C. (2024). A Combined Ontology and Machine Learning Framework for Predicting Asbestos in Buildings. Proceedings of the 6th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), IEEE.

Alsayoud, F., and Ayad, S. (2024). A Decision-Making Framework for the Selection of Business Process Modeling Languages. Proceedings of the Seventh International Women in Data Science Conference (WiDS), IEEE.

Ayad, S., and Alsayoud, F. (2024). Exploring ChatGPT Prompt Engineering for Business Process Models’ Semantic Quality Improvement. Proceedings of the World Conference on Information Systems and Technologies, Springer.

Alsayoud, F., and Miri, A. (2020). Cross-Scenario Performance Modelling for Big Data Ecosystems. Artificial Intelligence in HCI: First International Conference (AI-HCI 2020), Springer.

Alsayoud, F., and Miri, A. (2019). HMM Optimized Modeling of SSD Storage for I/O MapReduce Workloads. Proceedings of the IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), IEEE.

Alsayoud, F., and Miri, A. (2019). SSD: Cache or Tier? An Evaluation of SSD Cost and Efficiency Using MapReduce. Proceedings of the IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), IEEE.

Alsayoud, F., and Miri, A. (2015). Index Selection on MapReduce Relational Databases. Proceedings of the IEEE First International Conference on Big Data Computing Service and Applications, IEEE.

Teaching:

Dr. Fatimah Alsayoud has gained teaching experience at Toronto Metropolitan University (Canada), Arab Open University (Saudi Arabia), and Al-Yamamah University (Saudi Arabia). Across these institutions, she has taught and supported several core computer science courses, including:

  • Software Engineering
  • Software Process and Modeling
  • Software Requirements Engineering
  • Algorithms
  • Data Structures
  • UNIX
  • Computer Organization
  • Java Programming
  • Python Programming
  • C++ Programming
  • Supervised more than 100 undergraduate students on projects spanning a wide range of topics, including cloud computing, software development, Machine Learning, Artificial Intelligence, and research paper writing.

Dr. Alsayoud employs a hands-on, project-based teaching approach that places students at the center of their learning experience. Rather than relying solely on lectures, she integrates real-world projects, practical exercises, and trending industry tools and technologies into her courses. This method encourages students to apply concepts as they learn them, build problem-solving skills, and develop the technical confidence needed for professional practice. By aligning coursework with current trends in fields such as Artificial Intelligence, cloud computing, and software development, she ensures that students graduate with both foundational knowledge and relevant, market-ready skills.

Services:

Academic and Professional Committees

  • Member of the AI Unit at Al-Yamamah University — actively involved in driving institutional AI strategies and supporting the integration of AI across academic programs and operations.
  • Member of the Development Programs Administration, coordinating and evaluating community development programs at a non-profit organization.
  • Member of the Innovation Committee at Arab Open University — contributed to strategic AI initiatives, helping shape and advance the university's AI-driven academic and research agenda.

Community Outreach and Advocacy

  • WiDS (Women in Data Science) Ambassador — Worldwide Chapter (December 2023 – Present) Organizes and runs Datathon workshops and delivers seminars to promote data science education and engagement among women in the region and beyond.

Invited Speaker and Workshop Facilitator

Dr. Alsayoud has actively contributed to the broader academic and professional community by presenting at numerous workshops, seminars, and conferences, including:

  • Empowering Future Nurses: Tech and AI in Nursing Practice — Mohammed Al-Mana College for Medical Sciences (2024)
  • WiDS Datathon Workshops — Arab Open University (2024)
  • AI in Early Childhood: Applying AI in Kindergartens — Konorz Al-Mustaqbal (2024)
  • Dammam's Research Day — Arab Open University (2024)
  • Generative AI: From Mystery to Mastery — Arab Open University (2023)
  • Building AI Chatbots with OpenAI's ChatGPT — Arab Open University (2023)
  • GPT for Trainers / Training of Trainers (ToT) — LAEC (2023)

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