• 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

    speaker

    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.

    SAME CATEGORY

    May 16, 2024: TECHNICAL MEETING, Dr. Tran Quoc Long (Institute for Artificial Intelligence, UET), How Healthcare Systems in Vietnam Work

    Vietnam’s healthcare system is a unique amalgamation of public and private sectors, designed to provide comprehensive care to its diverse population. This talk aims to elucidate the structure, function, and challenges of the Vietnamese healthcare system, with a special focus on the integration of artificial intelligence (AI) into healthcare practices. We will explore the historical […]

    May 16, 2024: TECHNICAL MEETING, Prof. Maarten De Vos (Departments of Engineering and Medicine, KU Leuven, Belgium), AI in healthcare: turning the hype into a help

    AI is everywhere, and has the potential to disrupt also healthcare. However, particular challenges related to healthcare applications need to be addressed. Those are exciting times being at the intersection of AI and healthcare. The impact of AI in healthcare will only grow, and we are here at the right time to also unlock the […]

    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 […]