• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    October 22, 2019: Prof. Hideya Ochiai (Tokyo Univ., Japan), LAN-Security Monitoring

    This talk presents a cloud-based intrusion detection system (IDS), provided by the LAN-security monitoring project of the University of Tokyo. In recent years, malware can easily intrude into local-area networks (LANs) by phishing e-mails or infected smartphones over Wi-Fi. This talk presents the state-of-the-art architecture including honeypot, detected examples, and the application of machine learning schemes. After the talk, the presenter will distribute edge IDS devices freely to those who are interested in the security network operation. The material of this talk can be found in this link: https://www.lan-security.net

    Speaker: Prof. Hideya Ochiai, Tokyo Univ.

    Time: 15:30, Tuesday, October 22, 2019

    Venue: E3-212, 144 Xuan Thuy, Cau Giay, Hanoi


    Hideya Ochiai is an associate professor at the University of Tokyo (UTokyo), Japan. He received his Ph.D. degree in Information Science and Technology from UTokyo in 2011. His research interests have been cyber-security of IoT systems including local-area network security, and their protocols and applications. He is one of the standard developers of ISO/IEC/IEEE 18880 — ubiquitous green community control network, an application layer IoT network protocol. He is currently leading LAN-security monitoring project in UTokyo.


    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, […]