• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    April 28, 2020: Dr. Pham Thi Viet Huong (AVITECH), Multimodal learning: A review

    Our experience of the world is multimodal – we see objects, hear sounds, sense texture, smell odors and taste flavors. Modality refers to the way in which something happens or is experienced. A research problem is identified as multimodal when it deals with multiple modalities. In order for Artificial Intelligent to understand things around us more completely, it needs to be able to capture and interpret such multimodal signals together. This talk provides a very basic knowledge about multimodal machine learning, followed by a practical example for us to have a deeper insight into the multimodal learning. It is well suited for people who want to start to explore the multimodal world around us.

    Speaker: Dr. Pham Thi Viet Huong, AVITECH

    Time: 15:30, Tuesday, April 28, 2020

    Venue: Webinar – Microsoft Teams


    Pham Thi Viet Huong obtained her B.Sc in Electrical Engineering from Hanoi University of Science and Technology in 2007. She got her MSc and PhD, both in Electrical Engineering, from University of Massachusetts Lowell in the United States, in 2010 and 2012. From 2012 to 2015, she was a researcher in the Manning School of Business, Lowell, Massachusetts. Since 2017, she has been the faculty of VNU University of Engineering and Technology, Vietnam (VNU-UET). She is interested in data mining and analytics, machine learning methodologies, with applications in biomedical engineering and cyber security.


    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, […]