Seminars

January 14, 2019: Prof. Quang Ha (Univ. Technology Sydney, Australia), Smart Systems for Infrastructure Control & Monitoring

…

Speaker: Prof. Quang Ha, Univ. Technology Sydney

Time: 15:30, Monday, January 14, 2019

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

Quang Phuc Ha received the B.E. degree in electrical engineering from the Ho Chi Minh City University of Technology, Vietnam, in 1983, the Ph.D. degree in complex systems and control from Moscow Power Engineering Institute, Russia, in 1993, and the Ph.D. degree in intelligent systems from the University of Tasmania, Australia, in 1997. He is currently an Associate Professor with the Faculty of Engineering and Information Technology, School of Electrical and Data Engineering, University of Technology Sydney, Australia. His research interests include automation, robotics, and control systems.

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, […]