Mr. Walid Dhifallah : Leading Researcher in Security in IOT Networks

University of Gabes, Tunisia.

Congratulations, Mr. Walid Dhifallah, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Profile: Scopus

Education:

• PhD student -Doctoral thesis in ELECTRICAL ENGINEERING Gabes National Engineering School
• MRASE diploma -Master of research in automation and embedded systems, obtained at the Institute Higher degree in applied science and technology in Gafsa, Tunisia in December 2017.
• LAII diploma -Applied License in Industrial Computing: Embedded System, obtained at the Higher Institute of Informatics of Medenine Tunisia 2014.
• Baccalaureate -Computer science, Abou ELKASEM Chebbi, Médenine.

Experience:

• University teacher: 2023/2024 Course +TP+TD: artificial intelligence (machine learning, Deep learning, NLP)
• University teacher: 2022/2023 Course +TP+TD: industrial computing (VHDL, logic circuit, python, signal processing)
• Embedded development engineers: Sotunec++ Belfort Tunis, Tunisia (01/05/2021- 31/08/2022)
• Engineer in embedded systems and development of connected objects: TUNAV Tunis, Tunisia (09/22/2019 – 03/31/2020)

Publications:

Publications:

• ELMADSSIA Sami. And Dhifallah Walid “On the stabilization of TCP/AQM systems with time delay by the joint use of the τ-decomposition and the Ddecomposition methods” 2017 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC) 
• Walid Dhifallah, Tarhouni Mounira, Tarek Moulahi, Salah Zidi “A Novel Realistic Dataset for Intrusion Detection in IoT based on Machine Learning” International Symposium on Networks, Computers and Communications (ISNCC’21) 
• Walid Dhifallah, Tarek Moulahi, Mounira Tarhouni, and Zidi Salah” Blockchain for Machine Learning Protection against attacks in IoT” The 2nd International Conference on Green Energy Conversion Systems 2023 
• Walid Dhifallah, Tarek Moulahi, Mounira Tarhouni, Salah Zidi “Intelligent Chain: A Safer Decision-Making Framework with Blockchain-Based Incentives” international Journal of Applied Security Research 2023
• Walid Dhifallah, Tarek Moulahi, Mounira Tarhouni, Salah Zidi” Intellig_block: enhancing IoT security with blockchain-based adversarial machine learning protection” International Journal of Advanced Technology and Engineering Exploration

Skills:

• Industrial electricity/Electrotechnics
• Automation and industrial IT
• Simulation software: Multisim, PSIM, ModelSim, ISIS Proteus, NS2, LabVIEW, COOJA, Matlab/Simulink, Anaconda, spyder, jupyter, jetbrain 
• Cloud : Google colab, Kaggele. 
• Operating systems: LINUX, MS-DOS, Windows. 
• Office automation: Word, Power Point, Excel, Multimedia-builder, Photoshop.

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of “Security in IoT networks”.

Award Manager,
Cybersecurity Awards,
International Research Awards on Cybersecurity and Cryptography,
cybersecurity@researchw.com