• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    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

    speaker

    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

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    May 16, 2024: TECHNICAL MEETING, Prof. Maarten De Vos (Departments of Engineering and Medicine, KU Leuven, Belgium), AI in healthcare: turning the hype into a help

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    February 2, 2024: Dr. Khoa D. Doan (Vin Univeristy) Toward Reliable and Practical Machine Learning Applications

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