Xê-mi-na khoa học
18/05/2021: TS. Nguyễn Phi Lê (ĐH Bách Khoa Hà Nội), A Fine-grained AI-based Mobile Air Quality Monitoring and Forecasting
Recently, with rapid industrialization and urbanization, air pollution is becoming an increasingly painful issue than ever in Vietnam. So far, air monitoring has been carried out by using monitoring stations located at fixed locations. However, due to the cost of installation, deployment, and operation, the number of monitoring stations deployed is often very small. As a result, they only cover a limited area, which is insufficient compared to the actual needs. In this research, we propose a novel air monitoring system that exploits the dynamicity of public vehicles to broaden the air quality monitoring regions. In this talk, we first present the overview of the proposed system and figure out the research problems inside. We also introduce our preliminary at the current stage.
Speaker: TS. Nguyễn Phi Lê, ĐH Bách Khoa Hà Nội
Time: 15:30, Tuesday, May 18, 2021
Venue: Webinar; Access code: https://bit.ly/2FkRlae
Nguyen Phi Le received her B.E. and M.S. degrees from the University of Tokyo in 2007 and 2010, respectively. She received her Ph.D. in Informatics from The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan in 2019. Currently, she is an assistant professor at the School of Information and Communication, Hanoi University of Science and Technology, Vietnam. Her research interests include network architectures, applied AI in networking, Internet of Thing networks, mobile edge computing networks, crowdsensing, data mining.