• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    April 13, 2021: Dr. Dang Nam Khanh (VNU Univ. Eng. Tech.), Fault-tolerance through-silicon-via for 3-D integrated circuits

    Through-Silicon-Via (TSV) is considered as the nearfuture solution to realize low-power and highperformance 3D-Integrated Circuits (3D-ICs) and 3DNetwork-on-Chips (3D-NoCs). However, imperfection in TSV-based IC manufacture has been one of the most critical challenge for realizing this technology. Moreover, the lifetime reliability issue of TSV due to its fault sensitivity and the high operating temperature of 3D-ICs, which also accelerates the fault-rate, is one of the most critical challenges. In this presentation, we will discuss the method to detect, diagnose and recover the TSV defects.

    Speaker: Dr. Dang Nam Khanh, VNU Univ. Eng. Tech.

    Time: 15:30, Tuesday, April 13, 2021

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


    Khanh N. Dang received his Ph.D. degree from The University of Aizu, Japan in 2017. Since 2017, he has been a lecturer at VNU Key Laboratory for Smart Integrated Systems, Vietnam National University Hanoi (VNU), Hanoi Vietnam. Dr. He is/was a visiting researcher at the University of Aizu in 2019 and 2020-2021. His research interests include System-on-Chips/Network-on-Chips, 3D-ICs, neuromorphic computing, machine learning, and fault-tolerant systems.


    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, […]