• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    January 08, 2019: Dr. Le Vu Ha (AVITECH), EEG-based Brain-computer interface for prevention and rehabilitation of Alzheimer and other dementia

    Speaker: Dr. Le Vu Ha, AVITECH

    Time: 15:30, Tuesday, January 08, 2019

    Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi

    speaker

    Le Vu Ha is currently Head of the Signals andSystems Laboratory at Faculty of Electronicsand Telecommunications, VNU University ofEngineering and Technology (VNU UET). Heis also leader of the Neurotech research groupof the Advanced Institute of Engineering andTechnology (AVITECH) at VNU UET. His re-search and teaching interests include brain-computer interface, machine vision and 3Dvision, automatic image and video annotation,super-resolution imaging, bio-medical imag-ing and signal processing, and multimedia communications.

    SAME CATEGORY

    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, […]