• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    November 13, 2018: Ms. Nguyen Thi Anh Dao (AVITECH), Một số phương pháp xử lý tín hiệu EEG hỗ trợ chẩn đoán bệnh động kinh

    Speaker: Ms. Nguyen Thi Anh Dao, AVITECH

    Time: 15:30, Tuesday, November 13, 2018

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


    Nguyen Thi Anh-Dao was born in Thai Binh, Vietnam, in 1981. She got her Bachelor degree in Electronics – Telecommunications Technology in 2003, Master degree in Electronics -Telecommunications Technology in 2013 and since November 2013, she has been a Ph.D. student in Electronics – Telecommunications Technology in 2013 from University of Engineering and Technology, Vietnam National University Hanoi.


    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, […]