• 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 28 publications as book chapters 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

     

    PUBLICATIONS

    BOOK CHAPTERS:

    1. Nassreddine, A. Arid, Internet of Things in the Intelligent Transportation System, Accepted in “IoT Edge Intelligence”, Springer.
    2. El samad, G. Nassredine, A. Elkheir (2023). Introduction To Artificial Intelligence, In “Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction”, Crc Press, Taylor & Francis Group.
    3. Hamzeh, G. Nassreddine, J. Younis, “ Blockchain in healthcare sector”. In “Network-Enabled IoT Applications for Smart City Services”, IGI global. 2023.
    4. Abdulmajeed, G.Nassreddine, A. AlArid, J. Youniss. Machine Learning Approach in Human Resources Department”. In “In Artificial Intelligence Methods and Applications in Computer Engineering”. IGI global, DOI: 10.4018/978-1-6684-6937-8.ch013
    5. Nassreddine, A. Arid (2023). Artificial Intelligence in Navigation Systems,  Accepted. In “In Artificial Intelligence Methods and Applications in Computer Engineering”. IGI global. DOI: 10.4018/978-1-6684-6937-8.ch005
    6. Nasserddine, M. Nasserddine, 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, release date: February 2023.
    7. 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

    1. N. Hussein, G. Nassreddine & I. Younis (2023). The Impact of Information Technology Integration on the Decision-Making Process. Journal of Techniques, 5(1), 144-155.
    2. R. Mohsen, G. Nassreddine & M. Massoud (2023). Credit Card Fraud Detector Based on Machine Learning Techniques. Journal of Computer Science and Technology Studies, 5(2), 16-30.
    3. Sadeq, Z. Hamzeh, G. Nassreddine & T. ElHassan (2023). The impact of Blockchain technique on trustworthy healthcare sector. Mesopotamian Journal of CyberSecurity, 2023, 105-115.
    4. Ilwani, G. Nassreddine, & J. Younis (2023). Machine Learning Application on Employee‎ Promotion. Mesopotamian Journal of Computer Science, 2023, 106-120.
    5. Nassreddine, J. Younis & T. Falahi (2023). Detecting Data Outliers with Machine Learning. Al-Salam Journal for Engineering and Technology, 2(2), 152-164.
    6. Sadeq, G. Nassreddine, J. Younis (2023) "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, URL: https://www.ijtsrd.com/papers/ijtsrd53850.pdf
    7. N. Ali, G. Nassreddine, J. Younis,  (2022). Air Quality prediction using Multinomial Logistic Regression. Journal of Computer Science and Technology Studies, 4(2), 71-78.
    8. Nassreddine, A. Arid (2022). Data Fusion Technique for E-Learning Evaluation Based on Evidence Theory. Journal of Computational and Cognitive Engineering.
    9. Nasserddine, M. Nassereddine (2022). Bifacial Vertical Photovoltaic System Design for Farming Irrigation System. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 10(2), 489-497.
    10. Nassereddine, J. Rizk, G. Nassereddine. Soil Resistivity Structure and Its Implication on the Pole Grid Resistance for Transmission Lines. World Academy of Science, Engineering and Technology, Open Science Index 73, International Journal of Electrical and Computer Engineering, 7(1),  pages 41 – 45, 2013.
    11. Nassereddine, A. Hellany, J. Rizk, G. Nassreddine. Soil Resistivity Data Computations; Single and Two - Layer Soil Resistivity Structure and Its Implication on Earthing Design. World Academy of Science, Engineering and Technology, Open Science Index 73, International Journal of Electrical and Computer Engineering, 7(1), pages 35 – 40, 2013.
    12. Abdallah, G. Nassreddine and T. Denoeux. A multiple-hypotheses map matching method suitable for weighted and box-shaped state estimation for localization. IEEE transactions on intelligent transportation systems, vol. 12, issue 4, pages 1495-1510, 2011.
    13. Nassreddine, f. Abdallah and t. A new state estimation method for dynamic system using interval analysis and belief function theory. Transactions on systems, man, and cybernetics, vol. 40, issue 5, pages 1205-1218. 2010.

     

    CONFERENCES

    • Najim Ali, G. Nassreddine, A. Arid, Classification Using Multinomial Logistic Regression: Air Quality Application, International Scientific Congress- XII, August 2022.
    • Nassreddine, Amal Arid. Learning evaluation approach using belief function theory. International congress on social sciences, china to adritic xiii. August 7-9, 2021
    • Nassereddine, j. Rizk, a. Hellany, M. Nagrial and G. Nassreddine, overhead distribution lightning performance on joint use concrete poles with transmission lines, melecon 2014 - 2014 17th ieee mediterranean electrotechnical conference, beirut, 2014, pp. 510-514.
    • Nassereddine, j. Rizk, a. Hellany, m. Nagrial and g. Nassreddine, "transmission lines design to meet community requirements during constructions," melecon 2014 - 2014 17th ieee mediterranean electrotechnical conference, beirut, 2014, pp. 505-509.
    • Nassreddine. New method of multiple model estimation using belief function theory.laas 2013. Lebanese american university (lau). Lebanon. April 2013.
    • Nassreddine, f. Abdallah and t. Denoeux. A state estimation method for multiple model systems using belief function theory. Fusion, seattle, washington, usa, july 2009.
    • Nassreddine, f. Abdallah and t. Denoeux. A new method for state estimation of dynamic system based on dempster shafer theory. Actea, notre dame university, lebanon. July 2009.
    • Nassreddine, f. Abdallah and t. Denoeux. Map matching algorithm using interval analysis and dempster-shafer theory. Ieee intelligent vehicle symposium (iv’09). Xi’an, shaanxi, china, june, 2009
    • Nassreddine, f. Abdallah and t. Denoeux. Map matching algorithm using belief function theory. Fusion, july 2008.