Anglais
French
Ali IBRAHIM
مدرّس
مَعْهَد الهَنْدَسة العالِي في بَيروت
المَعْهَد الوَطَنِي للاتِّصالات والمَعْلُوماتِيّة
+961 (1) 421 000 ali.ibrahim5@usj.edu.lb
Ali Ibrahim holds a master’s degree in Computer Communications Engineering from Antonine University (UA), Hadat-Baabda, Lebanon, obtained in 2018. He obtained his PhD in engineering sciences from University of Technology of Belfort-Montbéliard (UTBM), France, in 2024. His research interests include wearable ambient sensor networks for elderly people fall detection prediction. He is an experienced software engineering instructor full-stack developer with a demonstrated history of working in both universities the software development industry. He is highly skilled in programming, particularly in Java, PHP, HTML, CSS, Node.js/JavaScript, React, and React Native. Additionally, he has worked with several types of databases such as SQL, MySQL, Oracle, Sybase, and PostgreSQL.
محاور البحث
As a dedicated researcher in the field of human health technology, my primary focus revolves around falls, with a specific emphasis on bed falls, the intricate relationship between these incidents sleep patterns. The prevalence of sleep-related disorde
المنشورات والمداخلات
JOURNAL ARTICLES 1. A. Ibrahim, K. Chaccour, A. Hajjam El Hassani, M. Hajjam E. Andres, ”Bed_x0002_Sense: A Bed-Mounted Sensor Node System for Sleep Activities Monitoring Nocturnal Falls Detection,” in IEEE Sensors Journal, vol. 24, no. 12, pp. 19944-19953, 15 June15, 2024, doi: 10.1109/JSEN.2024.3397039. 2. A. Ibrahim, K. Chaccour , A. H. E. Hassani E. Andres, ”Bed -Fall Detection Prediction: A Generic Classification Review of Bed -Fall Related Systems,” in IEEE Sensor s Journal , vol . 21 , no. 5, pp. 5678 -5686, 1 March1 , 2021 , doi : 10.1 109/JSEN.2020.3037711. BOOK CHAPTER 1. Ibrahim, A., Chaccour, K., El Hassani, A.H., Andres, E. (2024). SleepPal: A Novel System for Elderly Sleep Monitoring Bed Falls Detection. In: Ziefle, M., Lozano, M.D., Mulvenna, M. (eds) Information Communication Technologies for Ageing Well and e-Health. ICT4AWE 2023. Communications in Computer and Information Science, vol 2087. Springer, Cham. https://doi.org/10.1007/978-3-031-62753-8 5 INTERNATIONAL CONFERENCE PAPERS 1. A. Ibrahim, K. Chaccour, G. Badr and A. H. E. Hassani, ”Fall Detection Algorithm using Body Angle for Accurate Classification of Falls and ADLs,” 2021 International Conference on e-Health and Bioengineering (EHB), Iasi, Romania, 2021, pp. 1-4. 2. A. Ibrahim, K. Chaccour, A. H. E. Hassani and E. Andres, SleepPal: A Sleep Moni_x0002_toring System for Body Movement and Sleep Posture Detection. In Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health 2023.