Seminars

September 29, 2020: Prof. Quang Ha (Univ. Technology Sydney, Australia), Dependable Low-Cost Sensing Networks for Monitoring Purposes

Availability, integrity, maintainability, reliability, resilience, security & safety are desired attributes for modern systems. Such systems are called dependable. In this seminar, I will present recent results of low-cost sensing networks for air quality monitoring in suburban areas of Sydney. Techniques for achieving system dependability will be discussed, including sensor colocation and machine learning. Other applications for infrastructure monitoring and object recognition will be mentioned.

Speaker: Prof. Quang Ha, Univ. Technology Sydney

Time: 15:30, Tuesday, September 29, 2020

Venue: 102-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

May 16, 2024: TECHNICAL MEETING, Dr. Tran Quoc Long (Institute for Artificial Intelligence, UET), How Healthcare Systems in Vietnam Work

Vietnam’s healthcare system is a unique amalgamation of public and private sectors, designed to provide comprehensive care to its diverse population. This talk aims to elucidate the structure, function, and challenges of the Vietnamese healthcare system, with a special focus on the integration of artificial intelligence (AI) into healthcare practices. We will explore the historical […]

May 16, 2024: TECHNICAL MEETING, Prof. Maarten De Vos (Departments of Engineering and Medicine, KU Leuven, Belgium), AI in healthcare: turning the hype into a help

AI is everywhere, and has the potential to disrupt also healthcare. However, particular challenges related to healthcare applications need to be addressed. Those are exciting times being at the intersection of AI and healthcare. The impact of AI in healthcare will only grow, and we are here at the right time to also unlock the […]

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 […]