• Nassreddine, Ghalia

    Dr. Nassreddine, Ghalia

    Associate Professor
    302
    nassreddinega@rhu.edu.lb

    Dr. Nassreddine, Associate Professor at Rafik Hariri University, College of Arts & Sciences. She obtained her Ph.D. in Information Technology and Systems from the University of Technology of Compiegne, France. Since 2010, she’s been teaching different courses in Computer Science at several universities in Lebanon. The taught courses covered a wide range of topics such as: Java Programming, Java EE, C++ programming, Data structure, digital logic, Operating Systems, Object Oriented Programming in JAVA, Database, Web programming, Software Engineering, Mobile Application, Artificial Intelligence, Machine Learning, and Data mining and warehousing. 

     

    Dr. Nassreddine has many research activities in the machine-learning field with its applications in renewable systems, business, and healthcare sectors. She had more than 35 publications as book chapters, journals and articles in international conferences and journals. She is also a reviewer in International Journals like Behavior & Information Technology and the International Journal of human-computer interaction.

      

    EDUCATION

    • Ph. D. degree in Information Technology and Systems, University of Technology of Compiegne, France, 2009.
    • M. Sc. degree in in Information Technology and Systems, University of Technology of Compiegne, France, 2006.
    • Electrical Engineer in Informatics and Industrial Control. Lebanese University- Faculty of Engineering – Tripoli, Lebanon, 2005.

     

    PROFESSIONAL INTERESTS

    • Machine Learning 
    • Blockchain 
    • Natural Language processing

     

    MEMBERSHIPS

    • Member of the Order of Engineers and Architects since 2010

     

    RECENT PUBLICATIONS (SINCE 2020)

    For full list refer to: https://scholar.google.com/citations?user=sKVhiEUAAAAJ&hl=en

     

    BOOK:

     

    BOOK CHAPTER:

    • G. Nassreddine, A. El-Abed, M. Nassereddine, O. Al-Khatib (2025) AI-powered energy consumption prediction and forecasting. Accepted in “Artificial Intelligence for IT Energy Efficiency and Green AI for Environmental Sustainability”, Springer.
    • M. Nassereddine, G. Nassreddine, A. Amal, & M. Samad. (2024). Artificial Intelligence Applications in Renewable Power Systems. In Industrial Applications of Big Data, AI, and Blockchain (pp. 26-57). IGI Global.
    • G. Nassreddine, A. El Arid, M. Nassereddine. (2024). Internet of Things in Intelligent Transportation Systems. In IoT Edge Intelligence (pp. 291-314). Cham: Springer Nature Switzerland.
    • M. El Samad, G. Nassreddine, A. Elkheir. (2023). Introduction to Artificial Intelligence. In Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, CRC Press, Taylor & Francis Group.
    • Z. Hamzeh, G. Nassreddine, J. Younis. Blockchain in Healthcare Sector. In Network-Enabled IoT Applications for Smart City Services, IGI Global. 2023.
    • Abdulmajeed, G. Nassreddine, A. AlArid, J. Youniss. Machine Learning Approach in Human Resources Department. In Artificial Intelligence Methods and Applications in Computer Engineering. IGI Global, DOI: 10.4018/978-1-6684-6937-8.ch013
    • G. Nassreddine, A. Arid. (2023). Artificial Intelligence in Navigation Systems. In Artificial Intelligence Methods and Applications in Computer Engineering. IGI Global. DOI: 10.4018/978-1-6684-6937-8.ch005
    • G. Nasserddine, M. Nassereddine, A. Arid. (2023). Internet of Things Integration in Renewable Energy Systems. In Applications of Artificial Intelligence, Digital Twin, and Internet of Things for Sustainable Development. IGI Global, released February 2023.
    • G. Nassreddine, A. Arid. (2023). Decision Making Systems. Encyclopedia of Data Science and Machine Learning. IGI Global, DOI: 10.4018/978-1-7998-9220-5.ch082

     

    JOURNAL PAPERS

    • G. Nassreddine, A. El Arid. Data Fusion Technique for E-Learning Evaluation Based on Evidence Theory. Journal of Computational and Cognitive Engineering, 3(1), 67-76, 2024.
    • M. Nassereddine, G. Nassreddine, A. El Arid. Hybrid Photovoltaic and Biogas System for Stable Power System. Next Energy, 5, 100172, 2024.
    • M. Nassereddine, G. Nassreddine, T. ElHassan. Electric Vehicle and Photovoltaic Advanced Roles in Enhancing the Financial Performance of a Manufacturing and Commercial Setup. International Journal of Electrical and Computer Engineering (IJECE), 14(3), 2491-2499, 2024.
    • M. Nassereddine, G. Nassreddine. The Impact of Continuous Professional Development Activities on Student Learning Outcomes and Employability. Int J Eval & Res Educ, 13(5), 2971-2978, 2024.
    • F.A. Saeed, G. Nassreddine, J. Younis. Network Attack Detection for Business Safety. NTU Journal of Engineering and Technology, 3(1), 2024.
    • R. N. Hussein, G. Nassreddine & I. Younis. The Impact of Information Technology Integration on the Decision-Making Process. Journal of Techniques, 5(1), 144-155, 2023.
    • O. R. Mohsen, G. Nassreddine & M. Massoud. Credit Card Fraud Detector Based on Machine Learning Techniques. Journal of Computer Science and Technology Studies, 5(2), 16-30, 2023.
    • N.I. A., Noor, G. Nassreddine, J. Younis. Impact of Artificial Intelligence on Employee Development at Basrah University. Journal of Techniques, 5(2), 272-284, 2023.
    • N. Sadeq, Z. Hamzeh, G. Nassreddine & T. ElHassan. The Impact of Blockchain Technique on Trustworthy Healthcare Sector. Mesopotamian Journal of CyberSecurity, 2023, 105-115, 2023.
    • G. Nasserddine, M. Nassereddine. Bifacial Vertical Photovoltaic System Design for Farming Irrigation System. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 10(2), 489-497, 2022.
    • G. Nassreddine, J. Younis & T. Falahi. Detecting Data Outliers with Machine Learning. Al-Salam Journal for Engineering and Technology, 2(2), 152-164, 2023.
    • N. Sadeq, G. Nassreddine, J. Younis. Impact of Artificial Intelligence on E-marketing Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, 7 (1), February 2023, pp.1318-1331, 2023. URL: ijtsrd53850
    • A.N. Ali, G. Nassreddine, J. Younis. Air Quality Prediction Using Multinomial Logistic Regression. Journal of Computer Science and Technology Studies, 4(2), 71-78, 2022.

     

    CONFERENCE PAPERS

    • G. Nassreddine, M. El Samad, A. El Arid, M. Nassereddine, Z. Hobloss, O. Khatib.  Investigating Primary Factors Affecting Alzheimer’s Disease: Health, Lifestyle, and Social Influences. Accepted in 9th Edition of International Conference on Information System Design and Intelligent Applications (ISDIA), 3-4 January 2025, University of Wollongong in Dubai (UOWD) , Dubai, UAE. Approved Publication Partner: Springer Nature Lectures Notes in Networks and Systems
    • M. Massoud, Khalid J. Maalagh, G. Nassreddine, and N. Sadeq.  Generative AI Influence on Student Learning Outcomes: The Context of Lebanese University Students. Accepted in 9th Edition of International Conference on Information System Design and Intelligent Applications (ISDIA), 3-4 January 2025, University of Wollongong in Dubai (UOWD) , Dubai, UAE. Approved Publication Partner: Springer Nature Lectures Notes in Networks and Systems
    • G. Nassreddine, A.E. Arid, M. Nassereddine, E. Barbulescu, H. Ahmed. The Performance Effect of Seasonality Feature in Solar Photovoltaic Power Prediction Using Machine Learning. In: Kalam, A., Mekhilef, S., Williamson, S.S. (eds) Innovations in Electrical and Electronics Engineering. ICEEE 2024. Lecture Notes in Electrical Engineering, vol 1294. Springer, Singapore. https://doi.org/10.1007/978-981-97-9037-1_12
    • G. Nassreddine, A. Arid, M. Nassereddine, O. Khatib.  An Approach for Detecting Alzheimer's Disease Using Deep Learning Techniques. Accepted in 19th ICTERI-2024. September 23-27, 2024, Lviv, Ukraine. Approved Publication Partner: Springer CCIS Conference Proceedings.
    • G. Nassreddine, A. Arid, M. Nassereddine.  Solar PV Power Prediction System Based on Machine Learning Approach. In 2023 IEEE International Conference in Energy Technologies for Future Grids (IEEE ETFG), December 2023.