Biography

Nabou Abdellah is a Full Professor at the Faculty of Sciences Semlalia, specializing in Computer Engineering and Artificial Intelligence. He obtained his PhD in Computer Engineering from the National School of Electricity and Mechanics, Casablanca, in 2021.

His research focuses on Artificial Intelligence (AI), networking, machine learning, and cybersecurity, with numerous publications in SCOPUS and ISI-indexed journals and conferences. His work covers topics such as AI-driven network security, intelligent traffic management, deep learning for computer vision, and AI-enhanced wireless communication systems.

Dr. Abdellah holds multiple certifications, including Microsoft Office Specialist (Excel), IBM Open P-TECH training, and CISCO Instructor certification. He has also participated in various technical workshops and training programs from leading tech companies like Google, Oracle, and Dell.

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Toward a Gamified Approach Based on Augmented Resources in Education, ACM International Conference Proceeding Series, 2024.
A new predictive approach for the MAC layer misbehavior in IEEE 802.11 networks, International Journal of Pervasive Computing and Communications, 2024, 20(2), pp. 240–261
Incorporating Computer Vision and Machine Learning for Lane and Curve Detection in Vehicle Mobility, Lecture Notes in Networks and Systems, 2024.
Road Signs Recognition by Using YOLOv8 Model, Proceedings - SITA 2023: 2023 14th International Conference on Intelligent Systems: Theories and Applications, 2023.
Traffic Control, Congestion Management and Smart Parking through VANET, ML, and IoT: A Review, Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023, 2023.
Review on Machine Learning Based Intrusion Detection for MANET Security, Proceedings - 2022 9th International Conference on Wireless Networks and Mobile Communications, WINCOM 2022.
New Experimental Approach for MAC Layer Misbehavior of the IEEE 802.11 Protocol, Lecture Notes in Networks and Systems, 2022.
New MPR Computation for securing OLSR routing Protocol against Single Black Hole Attack, Wireless Personal Communications ISSN 0929-6212.
The Quality Factor for detecting Node Isolation Attack in Mobile Ad hoc Networks Using OLSR Protocol, International Journal of Internet Protocol Technology ISSN 1743-8209.
Effect of Black Hole Attack in Different Mobility Models of MANET using OLSR protocol, International Journal of Information and Computer Security ISSN 1744-1773.
Detection of Active Routing Attacks in MANET Using Shapiro-Wilk Test, Wireless Personal Communications ISSN 0929-6212 (Under Review). (IF 1,061)
New Method to Detect the Congestion for Green Networking in MANET, Emerging Trends in ICT for Sustainable Development ISSN 2522-8714.
Evaluation of olsr and aodv routing protocols against worm hole attack in random waypoint mobility, International Journal of Electrical, Electronics and Data Communication (IJEEDC) eISSN:2320-2084 , pISSN:2321-2950
The Effect of Transmit Power on MANET Routing Protocols Using AODV, DSDV, DSR and OLSR in NS3, Systems for Sustainable Development (AI2SD'2018).
Effect of Single and Cooperative Black Hole Attack in MANET using OLSR protocol, The 2nd International Conference on Networking, Information Systems & Security NISS19
Evaluation of OLSR and AODV routing protocols against worm hole attack in random waypoint mobility, International Conference on Science, Engineering & Technology (ICSET) Amsterdam, Netherlands (2019).
Evaluation of MANET Routing Protocols under Black Hole Attack Using AODV and OLSR in NS3, The 6th international conference on wireless networks and mobile communications (WINCOM'18).
Normality Test to Detect the Congestion in MANET by Using OLSR Protocol, The 3rd International Conference on Networking, Information Systems & Security NISS20.
Yates Algorithm to Analyze the Performance of MANET Routing Protocol, International Conference on Mathematics & Data Science (ICMDS 2020).

Activities and Engagements

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Prof. Nabou Abdellah (Faculty of Sciences Semlalia) Morocco

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