Distinguished Lectures

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 Research Center

Time: 15:30, Tuesday, March 09, 2021

Venue: 212-E3, 144 Xuan Thuy, Cau Giay, Hanoi

Mérouane Debbah is Vice-President of Huawei France Research Center, Director of Lagrange Mathematical and Computing Research Center and of the Mathematical and Algorithmic Sciences Lab. He has more than 20 years of experience in the ICT industry and has founded various research labs. He is an IEEE Fellow, a WWRF Fellow, a EURASIP Fellow, and a Membre émérite SEE. He is a highly cited researcher and has received numerous awards and prizes for his research work, such as the ERC Grant MORE (Advanced Mathematical Tools for Complex Network Engineering) from 2012 to 2017, the Mario Boella Award in 2005, the IEEE Glavieux Prize Award in 2011, the Qualcomm Innovation Prize Award in 2012 and the 2019 IEEE Radio Communications Committee Technical Recognition Award. He has received 20 best paper awards, including the 2007 IEEE GLOBECOM Best Paper Award and the 2019 IEEE Communications Society Young Author Best Paper Award. In the wireless communication field, he is one of the pioneers of the small cells (4G) and massive MIMO (5G) technologies.

SAME CATEGORY

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. […]

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 […]