About
Highly accomplished Teacher-Researcher and AI/Network Security Specialist with over 7 years of experience in academia and cutting-edge research. Proven expertise in developing machine learning solutions for IoT and drone applications, enhancing network security, and publishing in top-tier IEEE journals. Adept at curriculum development, project supervision, and fostering international research collaborations to drive innovation in advanced computing.
Work
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Summary
Leads advanced engineering courses and directs impactful research projects in cybersecurity and network virtualization, contributing significantly to student development and curriculum innovation.
Highlights
Delivered comprehensive instruction in Unix systems, application security, and virtualization to hundreds of engineering students, enhancing their foundational and advanced technical skills.
Supervised over 15 final year projects, guiding students from conception to successful completion in areas like secure automation, network management, and full-stack development.
Developed and updated 5+ core course programs, integrating new pedagogical approaches to improve learning outcomes and align with industry demands in areas like SI design and governance.
Contributed to the academic community as a technical committee member for 7+ international conferences, including IEEE GLOBECOM and WINCOM, fostering research dissemination.
Served as a peer reviewer for prestigious IEEE journals, including IEEE Access, IoT Journal, and Wireless Communications Letters, ensuring high-quality research contributions.
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Summary
Conducted cutting-edge research on machine learning applications for IoT network energy efficiency, contributing to international collaborations and high-impact publications.
Highlights
Developed and applied machine learning models to optimize energy efficiency in IoT networks, achieving significant advancements in sustainable communication protocols.
Authored and co-authored high-impact research papers, including a survey on Scalable LoRaWAN (IEEE Communications Surveys & Tutorials, IF: 33.84) and anomaly detection in Industrial IoT (Sensors, IF: 3.847).
Collaborated with international research teams, fostering cross-cultural scientific exchange and expanding research horizons in advanced networking.
Presented research findings at multiple international conferences, including IEEE GLOBECOM 2024 and ICC 2023, showcasing expertise to a global audience.
Explored innovative applications of Deep Reinforcement Learning for Flying LoRa networks, enhancing performance and autonomy in dynamic environments.
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Summary
Pioneered research in machine learning methods for drone surveillance, securing project funding and mentoring master's students, resulting in significant publications.
Highlights
Designed and implemented advanced machine learning methods for drone-based surveillance systems, enhancing efficiency and accuracy in monitoring operations.
Coordinated and managed externally funded research projects, ensuring timely delivery and adherence to scientific objectives and budget constraints.
Published impactful research, including a paper on Distributed CNN on UAVs (IEEE IoT Journal, IF: 9.936), significantly contributing to the field of unmanned aerial vehicle technology.
Mentored and supervised master's students, guiding their research and academic development in advanced computing topics such as AI and network optimization.
Contributed to the development of robust Intrusion Detection Systems for IoT environments, enhancing network security and data integrity.
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Summary
Delivered specialized courses in data security, VoIP, and IPv6, while conducting impactful research on underwater wireless sensor networks and supervising master's theses.
Highlights
Instructed university-level courses on critical topics such as data security, Voice over IP (VoIP), and IPv6, preparing over 200 students for evolving network challenges.
Developed and optimized algorithms for underwater wireless sensor networks, contributing to advancements in challenging communication environments.
Supervised multiple master's thesis projects, providing mentorship and academic guidance to students pursuing advanced studies in networking and security.
Authored a comprehensive survey on Underwater Wireless Sensor Networks (IEEE Access), establishing expertise in a niche research area.
Contributed to the academic community by developing novel solutions for network security and communication protocols.
Education
Publications
Languages
Arabic
French
English
Skills
Programming Languages
Python, C++, Java, MATLAB, LaTeX.
Web Technologies
HTML, CSS, JavaScript.
Tools & Frameworks
TensorFlow, PyTorch, Docker, Kubernetes, Git, Jupyter Notebook.
Teaching & Curriculum Development
Unix Systems, Application Security, Virtualization, UML, Information Systems Governance, Multiplatform Development, Data Security, VoIP, IPv6.
Research & Development
Internet of Things (IoT), Drones (UAVs), Artificial Intelligence (AI), Generative Adversarial Networks (GAN), Deep Reinforcement Learning (Deep RL), Machine Learning (ML), Network Security, Underwater Wireless Sensor Networks (UWSN), Anomaly Detection, Intrusion Detection Systems (IDS).
References
Pr. El Mehdi Amhoud
elmehdi.amhoud@um6p.ma (Université Mohammed VI Polytechnique)
Pr. Khalil Ibrahimi
ibrahimi.khalil@uit.ac.ma (Université Ibn Tofail)
Pr. Jalel Ben-Othman
jalel.ben-othman@univ-paris13.fr (Université Paris 13)
Pr. Mohsen Guizani
mguizani@qu.edu.qa (Qatar University)