• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    August 31, 2021: Dr. Tran Thi Thuy Quynh (VNU Univ. Eng. Tech.), Cyber-attack detection and informationsecurity in Industry 4.0

    Industry 4.0 has several achievements in many domains such as manufacturing, agriculture, and healthcare. The Internet of Things (IoT) devices act as a very important role in Industry 4.0 in collecting information from the online-working system, however, they easily suffer from cyber-attacks due to their direct Internet connection. In this talk, we present a proposed model that combines blockchain technology and deep learning to secure IoT systems from cyber-attacks. Through experimental results, the various kinds of attacks are firstly detected by a federated learning network model with decentralized sensitive datasets. Then, the core of the systems is protected by an effective private Ethereum blockchain network from cyberattacks. Our setup is examined with the support of numerical experiments. Moreover, the result from this study also suggests that the model can be applied to any system to store data in the Ethereum network

    Speaker: Dr. Tran Thi Thuy Quynh, VNU Univ. Eng. Tech.

    Time: 15:30, Tuesday, August 31, 2021

    Venue: Webinar; Access code: https://bit.ly/3yovNyY


    Tran Thi Thuy Quynh was born in Hanoi, Vietnam. She received B.Sc, M.Sc , and PhD. Degree from VNU – University of Engineering and Technology in 2001, 2005, and 2016. She is a researcher at Department of Wireless Communications, Faculty of Electronics and Telecommunications, VNU-UET. She is interested in designing of microwave components and antennas, and array signal processing.


    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, […]