Seminar Reboan, in collaboration with the APTIKOM Lecturer Competency Division, presents an engaging topic with speaker Prof. Iyad Dayoub, Ph.D. 🤩✨

Artificial Intelligence for Very High-Frequency Communication Systems

Speaker’s Brief Biography:

Iyad Dayoub is a Professor of Communications Engineering with a strong academic background in electronics and wireless communications (BEng 1993, MSc 1997, PhD 2001 in France) and professional experience with institutions and companies such as Siemens, Supélec, and Alcatel; he currently serves as Director of the Telecommunications Technologies & Intelligent Systems Department at IEMN-CNRS and teaches at INSA Hauts-de-France and Université Polytechnique Hauts-de-France, where he has also led the development of multiple academic programs in embedded systems and mobile communications; throughout his career, he has been a member of the French National Council of Universities and an Adjunct Professor at Concordia University (Canada), has published over 300 scientific papers, is an IEEE Senior Member, and actively contributes to international journals and conferences; he is also an expert reviewer for global agencies, participates in R&D projects with major companies like Nokia, Thales, and Mitsubishi, frequently delivers invited lectures worldwide including in Indonesia, and conducts research in areas such as 5G/6G, mmWave communications, AI for wireless systems, IoT, NOMA, full-duplex communications, and intelligent transportation systems, while supervising more than 35 PhD and 20 MSc students internationally.

Abstract:

The rapid evolution toward beyond-5G and 6G systems is driving the use of millimeter-wave and D-band frequencies, where conventional communication techniques face significant limitations. This semnar explores how Artificial Intelligence (AI) can address these challenges by enabling advanced beamforming and channel estimation strategies, particularly in high-mobility and dynamic environments. Emphasis is placed on machine learning-based beam prediction and hybrid beamforming architectures, which enhance spectral efficiency and reduce system complexity. Furthermore, we investigate AI-driven radio resource management approaches that dynamically optimize spectrum, power, and beam allocation based on real-time network conditions. At the hardware level, AI-based digital predistortion techniques are considered to compensate for nonlinearities in high-frequency power amplifiers, improving both signal quality and energy efficiency. This research opens several directions for the academic community, including the development of scalable AI models, real-time learning mechanisms, and cross-layer optimization frameworks. It also aims to foster collaborative research initiatives and structured publication efforts, contributing to the advancement of AI-native wireless communication systems for future 6G networks.

Moderator: Aprinaldi, Ph.D.Eng.

Join the discussion with Prof. Iyad Dayoub, Ph.D. at Seminar Reboan 2026 Episode 6, which will be held on:

📅 Day/Date: Wednesday, May 6, 2026
⏰ Time: 13:00 – 15:00 WIB

Venue:
📌 On Site: Ruang Sidang (A.409), 4th Floor, New Building, Fasilkom UI, Depok
— Limited to the first 40 participants

💻 Online: The link will be provided after completing the confirmation form.

📝 Confirmation Link:
https://s.id/REBOAN-EPS6