• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    December 25, 2018: Dr. Pham Tien Dat (National Inst. Info. Commun. Tech., Japan), Fiber and Wireless Convergence for Future Mobile Networks and Sensing

    High-speed metro and access networks are indispensable to provide broadband services, especially bandwidth-hungry services and future 5G mobile networks to end users. Advanced wireline and wireless network solutions with ultra-high capacity, low transmission delay, high energy efficiency, and low cost should be developed to support a wide range of applications and requirements in future mobile networks. In addition, high-performance imaging would play an important role to enhance safety and security of public infrastructure including airports, railways, etc. Advanced photonic-based transmission systems and convergence of wireline and wireless networks are thus of critical importance to facilitate future mobile and wireless communications. This talk will present technical challenges and enabling system technologies for future mobile transport networks, including mobile backhaul and fronthaul, and photonic-based millimeter-wave radar systems and related technologies for applications to public services, disaster recovery, etc.

    Speaker: Dr. Pham Tien Dat, National Inst. Info. Commun. Tech.

    Time: 15:30, Tuesday, December 25, 2018

    Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi


    Pham Tien Dat received the B.Eng. degree in electronics and telecommunication engineering from Posts and Telecommunications Institute of Technology, Vietnam, in 2003, and the M.Sc. and Ph.D. degrees in science of global information and telecommunication studies from Waseda University, Japan, in 2008 and 2011, respectively. He worked as a Researcher at Research Institute of Posts and Telecommunications, Vietnam from 2003 to 2006. In 2011, he joined the National Institute of Information and Communications Technology, Japan. His research interests are in the fields of microwave/millimeter-wave photonics, radio over fiber and optical wireless 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, […]