• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    April 22, 2022: Dr. Nguyen The Hoang Anh (VKIST-Nacentech Lab, VKIST, MOST), Brain-Computer Interface and its research progress in Vietnam

    Brain-computer interface (BCI) is a research topic that has attracted a number of researchers in Computer Science and Neuroscience in Vietnam. BCI enables human users to interact directly with machines and computers via EEG headsets and somehow their thoughts. That way of interaction is essential and effective in circumstances that conventional human-machine interactions fail to do so (e.g. ALS patients). In this talk, the speaker will present the latest research results of ongoing BCI projects such as building a large EEG database for Vietnamese BCI spellers and its applications to a Virtual reality BCI (VR-BCI) for stroke patient rehabilitation and a BCI mechanism to improve eye-tracking based speller. Other BCI research works in Vietnam will be covered to demonstrate the progress and provide audience the large picture of this research topic.

    Speaker: Dr. Nguyen The Hoang Anh, VKIST-Nacentech Lab, VKIST, MOST

    Time: 15:30, Friday, April 22, 2022

    Venue: Webinar


    Nguyen The Hoang Anh was born in Thanh Hoa, Vietnam, in 1986. He received B.Sc. from National University, Hanoi, Vietnam in Electrical Engineering in 2008 and M.S. in Electrical Engineering and M. E. in Modeling and Simulation from Old Dominion University, Norfolk, Virginia, the USA in 2010 and 2012, respectively. He got his Ph.D. degree in Computer Science from the University of Engineering and Technology, Vietnam National University, Hanoi in 2020. Currently, he is a researcher at Vietnam – Korea Institute of Science and Technology (VKIST), Ministry of Science and Technology (MOST), Vietnam. Since December 2020, he has led VKIST – Nacentech Joint Lab of VKIST focusing on AI technologies that include Neuroscience and BCI. His research includes Neurotechnology, Deep Learning, and Image processing/Computer graphics.


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    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

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    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, […]