• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    August 17, 2021: Dr. Pham Ngoc Thao (VNU Univ. Eng. Tech.), Piezoelectric Micromachinied UltrasonicTransducers (pMUTs) and Their Applications

    Piezoelectric micromachined ultrasonic transducers (MUTs) have a lot of advantages such as small size, lightweight, low power consumption compared to piezoelectric bulk ceramic transducers, and thus have been used in many applications such as ultrasonic imaging, rangefinder, fingerprint sensor and so on in recent years. These advantages make the pMUT suitable for consumer electronics with its huge market. Many research groups and companies have developed various pMUTs for enhancing the performances. The most important index of the performance is the signal-to-noise ratio (SNR), and high SNR is achieved by enhancing both transmitting and receiving performances of pMUTs. In this presentation, I will show my work in developing novel materials and designs for improved pMUT performances. Moreover, the outlook for the future development of pMUT technology and the potential applications made feasible by integrated PMUT devices are also presented.

    Speaker: Dr. Pham Ngoc Thao, VNU Univ. Eng. Tech.

    Time: 15:30, Tuesday, August 17, 2021

    Venue: Webinar


    Pham Ngoc Thao received her B.E degree in Physics in 2010, MSc. degree in Material Science in 2013 from Hanoi University of Science and Technology (HUST), and Dr.E. degree in Mechanical Engineering from Tohoku University in 2019. She was a Lecturer at the School of Engineering Physics, HUST from 2010 to 2011, and Research Assistant at International Training Institute for Materials Science, HUST from 2013 to 2015. She is currently Lecturer from 2019 at the Faculty of Electronics and Telecommunications, VNU University of Engineering and Technology. Her research interests focus on (i) the new piezoelectric materials and the novel designs for pMUT as well as their applications; (ii) BioMEMS Microsystems for healthcare applications.


    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, […]