Dr. Fatma Masmoudi is an assistant professor at the Faculty of Computer Studies at the Arab Open University. She received her PhD in computer science from the University of Sfax, Tunisia in 2018, and her research focuses on accountability in multi-user cloud computing services.
Her research interests include machine learning, data science, cloud computing, business intelligence, data governance, and security and privacy. Dr. Fatma Masmoudi has numerous publications in prestigious international journals and IEEE conferences, and her research applications extend to smart cities, healthcare, cybersecurity, and intelligent systems.
Dr. Fatma Masmoudi serves as the Women in Data Science Ambassador for the Middle East and North Africa, actively promoting women's participation in data science in collaboration with Stanford University.
She is a Certified Data Management Professional (CDMP) and an environmental, social, and governance (ESG) specialist. She is also a member of the Saudi Data Science Society and the Saudi Society for Artificial Intelligence and Intelligent Systems. Her work links academic research, applied AI solutions, and capacity building through hackathons, student innovations, and multidisciplinary collaboration.
June 2018 – Esprit School of Engineering: Security and Cloud Computing
2018–2019 – Mahmoud El Materi University, Tunis: IT and Internet Certificate (C2i)
2018–2019 – Central School of Arts and Communication Sciences, Tunis: Methodology and ICT, and PréAO
November–December 2018 – Tek-Up University, Tunis: Security in Cloud Computing
December 2018 – Time University, Tunis: Cloud Computing Fundamentals
May–June 2019 – Esprit School of Engineering: Security and Cloud Computing
August 2019 – May 2025 – College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia
Since August 2025 – Faculty of Computer Studies, Arab Open University, Riyadh, Saudi Arabia
Since August 2025, Dr Fatma Masmoudi have been serving as an Assistant Professor at the Faculty of Computer Studies, Arab Open University, Riyadh, Saudi Arabia. Her responsibilities include teaching undergraduate courses in Computer Science and Information Technology, supervising graduation projects, mentoring students, participating in academic quality assurance activities, and contributing to research and community engagement initiatives.
From August 2019 to May 2025, Dr Fatma Masmoudi worked as an Assistant Professor at the College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. During this period, she taught a variety of undergraduate and postgraduate courses in Computer Science, Information Systems, Artificial Intelligence, Cloud Computing, Data Science, and Networking. She also supervised student projects, coordinated academic and extracurricular activities, contributed to curriculum development and accreditation processes, and actively participated in scientific research and innovation initiatives.
Journal Publications
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Exploring the Advancements and Future Research Directions of Artificial Neural Networks: A Text Mining Approach (2023) – Applied Sciences.
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A Novel CNN Gap Layer for Growth Prediction of Palm Tree Plantlings (2023) – PLoS One.
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A Machine Learning Model for Personalized Tariff Plan Based on Customer Behavior in the Telecom Industry (2022) – International Journal of Advanced Computer Science and Applications.
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Modified Flower Pollination Algorithm Based Resource Management Model for Clustered IoT Environment (2022) – Journal of Cybersecurity and Information Management.
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Topology Optimization Search of Deep Convolution Neural Networks for CT and X-ray Image Classification (2022) – BMC Medical Imaging.
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A Guiding Framework for Vetting the Internet of Things (2020) – Journal of Information Security and Applications.
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A Plug & Play Approach for Modelling and Simulating Applications in the Era of Internet of Social Things (2020) – IET Smart Cities.
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Accountability Management for Multi-tenant Cloud Services (2017) – International Journal of Grid and Utility Computing.
International Conference Publications
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Computer Vision Approach for Parking Management – ICCMI 2026.
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Exploratory Data Analysis and Computer Vision Approach for Traffic Accidents in Saudi Arabia – ICEBE 2025.
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Smart Home Privacy: A Scoping Review – ICISSP 2024.
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Phishing Detection in Arabic SMS Messages Using Natural Language Processing – WiDS 2024.
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Data Science Approach for Climate Change in Saudi Arabia: Trend Analysis – WiDS 2023.
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Towards a Novel Design Framework for Disruption Handling in Industry 4.0 – EDI40 2023.
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Psychological Advisor Chatbot – ASSIC 2022.
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A Chatbot for Academic Advising – ASSIC 2022.
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Traffic Disturbance Mining and Feedforward Neural Network to Enhance the Immune Network Control Performance – ICICT 2022.
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Image Recognition to Detect COVID-19 Violations: Saudi Arabia Use Case – ICICT 2022.
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Data Science Approach for Crime Analysis and Prediction: Saudi Arabia Use Case – WiDS 2022.
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An Approach for Mitigating Disruptions on Resources’ Consumption Cycles – AINA 2022.
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On Modelling and Analyzing Composite Resources’ Consumption Cycles Using Time Petri-Nets – ENASE 2022.
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A Text-Mining Approach for Crime Tweets in Saudi Arabia: From Analysis to Prediction – CDMA 2022.
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Analyzing and Predicting Crimes in the Kingdom of Saudi Arabia – ICCAI 2021.
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A Transactional Approach to Enforce Resource Availabilities: Application to the Cloud – RCIS 2021.
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Optimal Evidence Collection for Accountability in the Cloud – ICEBE 2018.
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From Event to Evidence: An Approach for Multi-tenant Cloud Services’ Accountability – AINA 2017.
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Analyzing Multi-tenant Cloud Services’ Accountability – ICEBE 2015.
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Multi-tenant Services Monitoring for Accountability in Cloud Computing – CloudCom 2014.
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Formal Security Framework for Agent-Based Cloud Systems – IWAISE 2014.
