
Prof. Iyad Dayoub, BSC, MASC, PHD, P. ENG.
Institute of Electronics, Microelectronics and Nanotechnology IEMN-CNRS UMR 8520
Head of Telecommunications Technologies & Intelligent Systems Department (TTISD)
INSA Hauts-de-France & Univ. Polytechnique Hauts-de-France
Co-founder & Coordinator of the Engineering Specialty Electronics and Embedded Electronics
Biography— Iyad Dayoub is Professor of Communications Engineering, He has been awarded BEng from University of Tishreen/Latakia in 1993 and completed his Post Graduate Diploma from Damascus University in 1995. He received the MSc degree from Nancy University/National Polytechnic Institute of Lorraine (INPL)/ France in 1997. He awarded his PhD in 2001 from Valenciennes University/ Institute of Electronics, Microelectronics and Nanotechnology (IEMN)/ in collaboration with Alcatel Business Systems/ Colombes-Paris.
Professor Dayoub published over 200 papers in international Journals and referred conferences. He is IEEE Senior member, member of several Journal Editorial Boards such as Electonics & Signal Processing Journal, and member of several international conference advisory committees, technical program committees and organization committees.
His current Research activities are 5G & beyond such as mmWave communications, cognitive radios, NOMA, full-duplex communications, IoT with IA, new waveforms (both Radio and Radio over Fiber). He has Sound background in Intelligent Transportation Systems (Railways & Vehicular Communications) where He is seconded to the IRT-Railenium for 2 months a year since 2017.

Dr. Thi-Thu-Huong Le
Research Professor at Pusan National University, South Korea
Abstract:
In today’s interconnected world, the security of wireless and telematics networks is paramount. As threats evolve in sophistication, relying solely on traditional security measures becomes increasingly inadequate. This presentation delves into network security from an AI research and development perspective, emphasizing the pivotal role of Intrusion Detection Systems (IDS). By leveraging the capabilities of artificial intelligence, IDS can dynamically detect and respond to emerging threats in real-time. Through an in-depth exploration of AI-driven methodologies encompassing machine learning and deep learning techniques, this talk underscores how IDS can proactively thwart malicious activities, preserving the integrity and confidentiality of vital network infrastructures. Join us as we unravel the intricacies of network security and delve into the transformative potential of AI in reinforcing our digital ecosystems.
IMPORTANT DATES
May 12, 2024 (extended) Submission Deadline
Acceptance Notification
Camera-Ready Submission
Author Registration Deadline July 4-5, 2024 Conference Date Celebrating 103 Years of ITB |