Dr. Nabil Abdoun | Information Security Awards | Best Researcher Award

Dr. Nabil Abdoun | Information Security Awards | Best Researcher Award 

Dr. Nabil Abdoun, Lebanese American University, Lebanon

Nabil Abdoun, based in Beirut, Lebanon, is a distinguished expert in network and telecommunication engineering with extensive academic and professional experience. He holds a Ph.D. in Network and Telecommunication Engineering from Nantes University, France, earned with the highest honors in 2019. His doctoral research focused on designing, implementing, and analyzing keyed hash functions using chaotic maps and neural networks, reflecting his deep interest in computer, information, and network security, as well as chaos theory. Dr. Abdoun has an impressive academic portfolio, including a Master’s in Sociology and Human Resources Management from the Lebanese University and a Master’s in Research in Networks and Telecommunication. He also earned a diploma in Electrical and Electronic Engineering, specializing in Computer and Communication Engineering. His research contributions include several highly cited publications in top-tier journals and conferences, exploring innovative cryptographic approaches and the integration of artificial intelligence in secure systems.

Professional Profile:

ORCID

Summary of Suitability for the “Best Researcher Award” – Nabil Abdoun

Dr. Nabil Abdoun holds a Ph.D. in Network and Telecommunication Engineering from Nantes University, France, with a distinguished academic record and thesis focused on cutting-edge topics such as chaotic maps, neural networks, and keyed hash functions. This specialization aligns with modern challenges in cybersecurity and network security, showcasing significant innovation and expertise.

🎓 Education:

  • Ph.D. in Network and Telecommunication Engineering (2015-2019)
    🎓 Nantes University / Polytech, IETR Laboratory, France
    📝 Thesis Title: Design, Implementation, and Analysis of Keyed Hash Functions Based on Chaotic Maps and Neural Networks
    🏅 Graduation with very honorable mention
    🌟 Research Interests: Computer Security, Information Security, Network Security, Hash Functions, Chaos Theory, Neural Networks
  • Professional Master 2 in Sociology & Human Resources Management (2020-2022)
    🎓 Lebanese University, Institute of Social Sciences, Lebanon
    📝 Thesis Title: The Impact of Evaluating HR Policies on Employee Performance
  • Master 2 Research in Networks and Telecommunication (2010-2011)
    🎓 Saint Joseph University & Lebanese University, Lebanon
    📝 Final Project: Multimedia Transmission in Vehicular Ad-Hoc Networks
  • Diploma in Electrical and Electronic Engineering (2004-2009)
    🎓 Lebanese University, Faculty of Engineering, Lebanon
    📝 Specialty: Computer and Communication Engineering
    📝 Final Project: Advanced Resource Management for QoS in Wireless Mesh Networks

🎤 Conference Presentations:

  • 🧠 SISY 2024: Collision Detection in LoRaWAN Using Machine Learning
  • 🌐 INCOSE Symposium 2024: Integrating AI with MBSE for Data Extraction from Medical Standards
  • 🎓 RISE 2023: Artificial Intelligence for Effective Reward Systems

💡 Academic Contributions:

  • 📊 Supervised several master’s theses on AI, NLP, and cybersecurity
  • 🛡️ Organized the Smart Shield Workshop on digital protection
  • 🌟 Campus Director for the Hult Prize Program (2021-2022)

🌟 Skills & Expertise:

🔒 Cybersecurity | 🤖 Artificial Intelligence | 📡 Network Engineering | 🧠 Neural Networks | 🌐 System Design

Publication Top Notes:

Enhancing LoRaWAN Security: An Advanced AES-Based Cryptographic Approach

Authenticated Encryption Based on Chaotic Neural Networks and Duplex Construction

Designing Two Secure Keyed Hash Functions Based on Sponge Construction and the Chaotic Neural Network

Design and security analysis of two robust keyed hash functions based on chaotic neural networks

New Keyed Chaotic Neural Network Hash Function Based on Sponge Construction