• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    September 10, 2019: Ms. Cindy Chau (Harvard Univ., US), A Brief Overview of the Neuroscience of Mental Illness

    In this talk, we focus on a brief introduction of neuroscience on several mental disorders, including depression, anxiety, schizophrenia, and Alzheimer’s Disease. We will first review common brain regions and neurotransmitters implicated in these disorders. We will then characterize each disorder and provide leading hypotheses on the pathogenesis of each disorder, including dysfunctions in the neural circuitries and potential interactions between genes and the environment.

    Speaker: Ms. Cindy Chau, Harvard Univ.

    Time: 15:30, Tuesday, September 10, 2019

    Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi


    Cindy Chau received an A.B. degree in Neuroscience from Harvard College, Boston, Massachusetts, United States, in 2019, with cum laude honors. During her time at Harvard College, she co-founded and directed a peer counseling group to provide peer support and increase mental health awareness. She also pursued an independent honors thesis on the long-term effects of radiation on cognitive decline and glial pathologies under the supervision of Prof. Cynthia Lemere at Brigham and Women’s Hospital. She is currently pursuing the Benjamin Trustman Fellowship, awarded by Harvard College’s Office of Undergraduate Research and Fellowships, to pursue mental health work in Vietnam, and is doing her internship at the University of Education, Vietnam National University.


    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, […]