• Advanced Institute of Engineering and Technology (AVITECH)

  • Distinguished Lectures

    January 11, 2024: Prof. Mérouane Debbah (Khalifa University of Science and Technology, UAE) TelecomGPT: The Next Big Wave in Telecomunications

    The evolution of generative artificial intelligence (GenAI) constitutes a turning point in reshaping the future of technology in different aspects. Wireless networks in particular, with the blooming of self-evolving networks, represent a rich field for exploiting GenAI and reaping several benefits that can fundamentally change the way how wireless networks are designed and operated nowadays. To be specific, large language models (LLMs), a subfield of GenAI, are envisioned to open up a new era of autonomous wireless networks, in which a multimodal large model trained over various Telecom data, can be fine-tuned to perform several downstream tasks, eliminating the need for dedicated AI models for each task and paving the way for the realization of artificial general intelligence (AGI)-empowered wireless networks. In this talk, we aim to unfold the opportunities that can be reaped from integrating LLMs into the Telecom domain. In particular, we aim to put a forward-looking vision on a new realm of possibilities and applications of LLMs in future wireless networks, defining directions for designing, training, testing, and deploying Telecom LLMs, and reveal insights on the associated theoretical and practical challenges.

    Speaker: Prof. Merouane Debbah, Khalifa University of Science and Technology, UAE

    Time: 14:00 – 15:00, Thursday, January 11, 2024

    Venue: Room 405 E3, 144 Xuan Thuy, Cau Giay, Hanoi

    speaker

    Mérouane Debbah is Professor at Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI. His research has been lying at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G) and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks and semantic communications. He received multiple prestigious distinctions, prizes and best paper awards (more than 40 IEEE best paper awards) for his contributions to both fields and according to research.com is ranked as the best scientist in France in the field of Electronics and Electrical Engineering. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow and a Membre émérite SEE. His recent work led to the development of NOOR (upon it release, largest language model in Arabic) released in 2022 and Falcon LLM (upon its release, top ranked open source large language model) released in 2023.

    This seminar is jointly organized with the Department of Computer Science, the Institute for Artificial Intelligence, and the Human-Machine Interface Laboratory, VNU University of Engineering and Technology.

    SAME CATEGORY

    March 09, 2021: Prof. Mérouane Debbah (Huawei France Research Center, France), Breakthrough Research: From Innovation to Invention

    Prof. Merouane Debbah will talk about breakthrough research, focusing on Mathematics and Algorithms for Information and Communication Technology (ICT). He will in particular explain the various research domains, going from business-driven to technology-driven and, more recently, innovation-driven research. The talk will be followed by a Q&A session. Speaker: Prof. Mérouane Debbah, Vice-President of Huawei France […]

    April 21, 2020: Prof. K.V.S. Hari (Indian Inst. Science, Indian), Wireless Channel Modelling of Drone-Ground links using RF measurements

    He will briefly introduce the motivation to study channel modeling followed by a brief overview of the experiments in channel measurements leading to the IEEE 802.16 standard. He will present the challenges in developing a communication system for drone communication links using current systems like LTE and the motivation to study the wireless channel models […]

    September 23, 2019: Prof. Karim Abed-Meraim (Univ. Orleans, France), Blind and Semi-Blind System Identification

    Blind System Identification (BSI) is a fundamental problem which is signal processing sometimes known by different names: blind deconvolution, blind equalization, blind deconvolution or blind separation of convolutive mixtures. In all these instances, the objective is an inverse problem where an observed (multi-channel) system output one seeks to identify the unknown channels and/or retrieve at […]