• 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


    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.


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

    While Machine Learning (ML) has rapidly transformed several domains and applications with incredible successes, there are also important areas where the progress is significantly slower. Specifically, there exists a widened complexity gap between the methods currently investigated in research and those used in practice in these areas. One reason is that many algorithms, despite achieving […]

    February 2, 2024: Prof. Heng Ji (University of Illinois at Urbana-Champaign), Combating with Misinformation and Cancer: A Unified Multimodal AI Approach to Healthy and Happy Life

    A research overview of ongoing research projects, especially focusing on two that are most related to the VinUni-UIUC Smart Health Center: (1) Misinformation Detection and Trustworthy Large Language Models; (2) Joint Natural Language and Molecule Learning for Drug Discovery. Unsurprisingly these two seemingly different research problems can be tackled with a unified approach based on […]

    January 11, 2024: Dr. Le Duc Trong (FIT-UET) Resilient Multimodal Learning for Multimodal Emotion Recognition in the Presence of Incomplete Modalities

    Multimodal Emotion Recognition in Conversation (Multimodal ERC) is a critical area of research for interpreting human communication in diverse applications. Nevertheless, the persistent issue of uncertain missing modalities poses a major hurdle, hampering the development of robust Multimodal ERC models. Existing approaches face limitations in effectively leveraging a fusion of diverse data modalities encompassing audio, […]