• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    October 27, 2020: Dr. Daniel Franklin (Univ. Tech. Sydney, Australia), Nanocomposite and Transparent Ceramic Monolithic Scintillators – a Pathway to Low-Cost PET

    One of the main factors in the cost of PET scanners is the scintillator crystals used to detect the 511 keV gamma photons emitted from positron annihilations. Conventional PET systems utilise huge numbers of tiny individual crystals, with complex light-sharing schemes needed to obtain depth of interaction (DOI) information. While monolithic scintillators offer a simpler alternative to discrete crystal PET, large single-crystal scintillators with uniform optical properties are both expensive and difficult to fabricate in non-planar geometries. Two new classes of scintillator materials – nanocomposites and transparent polycrystalline ceramics – can potentially enable fabrication of high quality monolithic scintillator blocks in non-planar geometries, at a substantially lower cost compared to conventional scintillator materials. However, due to their inferior optical properties, a number of performance trade-offs must be considered in the design of position-sensitive detectors based on these materials. In this presentation, I will describe an optimisation method which can be applied to the design of monolithic nanocomposite and transparent ceramic scintillator slabs, and present some initial results for a PET scanner design which exploits these capabilities.

    Speaker: Dr. Daniel Franklin, Univ. Tech. Sydney

    Time: 15:30, Tuesday, October 27, 2020

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


    Daniel Franklin received his Bachelor of Engineering (Electrical, Honours I) and Ph.D. in Telecommunications Engineering from the University of Wollongong, Wollongong, Australia, in 1999 and 2007, respectively. He is currently a Senior Lecturer with the School of Electrical and Data Engineering at the University of Technology Sydney, Australia. His current research and commercial interests include positron emission tomography, computed tomography, particle therapy, image and multimedia signal processing and analysis, wireless telecommunications systems, telemetry and telecontrol systems, and quality of experience in telecommunications networks.


    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, […]