• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    October 13, 2020: Dr. Pham Duy Hung (AVITECH), Distributed Coverage Control for Networked Multi-Robot System in Any Environments

    In this seminar, we present a distributed coverage control for networked multi-robot systems in any environments. The distributed coverage control is developed by combining the interconnected hexagon-lattices based coverage and the hierarchical distributed control of networked multi-robot systems. The distributed coverage control is capable of driving mobile robots to move in the network to cover any environments. We have demonstrated the effectiveness of this distributed coverage control for the network of real mobile robots in both convex and non-convex real-world environments.

    Speaker: Dr. Pham Duy Hung, AVITECH

    Time: 15:30, Tuesday, October 13, 2020

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


    Pham Duy Hung is currently a lecturer at Faculty of Electronics and Telecommunications, VNU-University of Engineering and Technology, Vietnam and also is a member of The More-Than-One Robotics Laboratory ( www.morelab.org), University of Prince Edward Island, Charlottetown, PE, Canada. He received the B.Sc, M.Sc, and Ph.D degree in Electronics and Telecommunications (Robotics) from VNU-University of Engineering and Technology, Vietnam in 2003, 2006 and 2020, respectively. He worked as a post-doctoral researcher at University of Prince Edward Island, Canada in 2019. His current research interests include robotics and distributed control techniques for networked multi-robot systems with an emphasis on deployment, exploration, coverage, and multiple target tracking.


    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, […]