Dr. Ling Li | Information Security Awards | Best Researcher Award

Dr. Ling Li | Information Security Awards | Best Researcher Award

Dr. Ling Li, University of Electronic Science and Technology of China, China

Ling Li is a dedicated researcher and Doctorate at the University of Electronic Science and Technology of China, specializing in cyberspace security. She holds a Masterโ€™s degree from Southwest Jiaotong University and a Ph.D. from her current institution. With multiple SCI/EI-indexed publications in esteemed journals and conferences, she has established herself as a thought leader in her field. Ling has filed three Chinese invention patents and leads a project funded by the Central Universities Foundation, while also contributing to a National Natural Science Foundation project. Her research focuses on innovative approaches to federated learning, privacy protection in 6G networks, and statistical relational learning for data cleaning, underscoring her commitment to advancing technology and security in the digital landscape.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Ling Li has a Master’s degree from Southwest Jiaotong University and a Ph.D. in Cyberspace Security from the University of Electronic Science and Technology of China. She has published numerous SCI/EI-indexed papers in esteemed journals, including MDPI Sensors and Frontiers of Computer Science, and presented her work at significant conferences such as IJCNN and ISNCC. Her contributions include three Chinese invention patents and leadership roles in key research projects funded by national and central universities.

Education ๐ŸŽ“

  • Ph.D. in Cyberspace Security
    University of Electronic Science and Technology of China
    Currently enrolled
  • Master’s Degree in [Field]
    Southwest Jiaotong University
    Completed

Work Experience ๐Ÿ’ผ

  • Key Researcher
    National Natural Science Foundation of China
    Research on Theory and Methods of Resilient Anti-jamming Transmission for Satellite Communications (62371098)
    Ongoing
  • Lead Researcher
    Sichuan Social Science Planning Project
    Research on Data Quality Issues of National Economic Accounting in the Context of Big Data (SC20B127)
    Completed
  • Researcher
    Open Project of Key Laboratory of Computer System State
    Monitoring online public opinion in minority areas based on multi-source spatio-temporal big data
    Completed

Achievements ๐Ÿ†

  • Published Multiple SCI/EI-indexed Papers
    Journals: MDPI Sensors, Frontiers of Computer Science
    Conferences: IJCNN, ISNCC
  • Filed Three Chinese Invention Patents
    • Knowledge Graph Entity Recognition Method
    • Task Scheduling Method for Heterogeneous Edge Arithmetic Network
    • Automatic Data Cleaning Method

Awards and Honors ๐ŸŒŸ

  • National Scholarship
    Awarded for academic excellence during Masterโ€™s studies
  • Citations
    Web of Science: Cited 11 times

Publicationย Top Notes:

Cloudโ€“Edgeโ€“End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments

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

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

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 Masterโ€™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” โ€“ 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.

๐ŸŽ“ Education:

  • Ph.D. in Network and Telecommunication Engineering (2015-2019)
    ๐ŸŽ“ Nantes University / Polytech, IETR Laboratory, France
    ๐Ÿ“ Thesis Title: Design, Implementation, and Analysis of Keyed Hash Functions Based on Chaotic Maps and Neural Networks
    ๐Ÿ… Graduation with very honorable mention
    ๐ŸŒŸ Research Interests: Computer Security, Information Security, Network Security, Hash Functions, Chaos Theory, Neural Networks
  • Professional Master 2 in Sociology & Human Resources Management (2020-2022)
    ๐ŸŽ“ Lebanese University, Institute of Social Sciences, Lebanon
    ๐Ÿ“ Thesis Title: The Impact of Evaluating HR Policies on Employee Performance
  • Master 2 Research in Networks and Telecommunication (2010-2011)
    ๐ŸŽ“ Saint Joseph University & Lebanese University, Lebanon
    ๐Ÿ“ Final Project: Multimedia Transmission in Vehicular Ad-Hoc Networks
  • Diploma in Electrical and Electronic Engineering (2004-2009)
    ๐ŸŽ“ Lebanese University, Faculty of Engineering, Lebanon
    ๐Ÿ“ Specialty: Computer and Communication Engineering
    ๐Ÿ“ Final Project: Advanced Resource Management for QoS in Wireless Mesh Networks

๐ŸŽค Conference Presentations:

  • ๐Ÿง  SISY 2024: Collision Detection in LoRaWAN Using Machine Learning
  • ๐ŸŒ INCOSE Symposium 2024: Integrating AI with MBSE for Data Extraction from Medical Standards
  • ๐ŸŽ“ RISE 2023: Artificial Intelligence for Effective Reward Systems

๐Ÿ’ก Academic Contributions:

  • ๐Ÿ“Š Supervised several masterโ€™s theses on AI, NLP, and cybersecurity
  • ๐Ÿ›ก๏ธ Organized the Smart Shield Workshop on digital protection
  • ๐ŸŒŸ Campus Director for the Hult Prize Program (2021-2022)

๐ŸŒŸ Skills & Expertise:

๐Ÿ”’ Cybersecurity | ๐Ÿค– Artificial Intelligence | ๐Ÿ“ก Network Engineering | ๐Ÿง  Neural Networks | ๐ŸŒ 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