• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    November 26, 2019: Mr. Vu Duy Thanh (AVITECH), Deep Learning for Autonomous Car

    Autonomous vehicle is a promising technology which involved a large investment in the industry. Besides the conventional technologies in autonomous vehicle driving such as Fuzzy logic and Computer vision, Deep learning has become the most important frontier in machine learning which has acted as a main factor in autonomous vehicle development recently. In this presentation, I will talk about some bases in deep neural networks, convolution neural networks with various applications. The latter part, I will briefly present the application of Deep Learning and Computer Vision to automotive problems along with Fuzzy logic, including detecting road center, predicting steering angles and controlling velocities.

    Speaker: Mr. Vu Duy Thanh, AVITECH

    Time: 15:30, Tuesday, November 26, 2019

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

    speaker

    Vu Duy Thanh is an undergraduate student at the University of Engineering and Technology, Vietnam National University Hanoi. He is currently a teaching assistant and a researcher in Advanced Institute of Technology and Engineering UET. He mainly focuses on signal processing and deep learning technology. He was awarded several grants from the industry such as 3F, Mitsubishi and Lawrence S.ting. He also was granted by Big Data Institute, Vingroup an internship with the main studying in Computer vision.

    SAME CATEGORY

    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, […]