開催日時：2024年6月18日（火）15:00-16:00
場所：東京大学駒場IIキャンパス（Zoom配信あり）
Title: Massive-scale Air Quality Sensing Using Low-Cost Sensors
Abstract: The dangers of poor air quality necessitate the deployment of advanced air quality monitoring technologies. Traditionally, these deployments have relied on either professional-grade measurement stations or a limited number of low-cost sensors integrated into urban infrastructure. This presentation introduces a research vision for real-time, large-scale air quality sensing, utilizing tens of thousands of sensors to monitor air quality with fine spatial and temporal resolution in both outdoor and indoor environments. It highlights the opportunities and challenges associated with this vision by outlining the key requirements and reference technologies needed to establish a roadmap for its realization.
Biography: Dr. Naser Motlagh is a researcher at the Department of Computer Science, University of Helsinki. His research is focused on large-scale deployment of sensor networks and providing Internet of Things (IoT) services through data analytics at the edge of wireless communication networks. In general, his research interests include the IoT, wireless sensor networks, environmental sensing, smart spaces, and unmanned aerial and underwater vehicles, with a focus on networks, sensing, applications, and services. Dr. Motlagh’s research aims to contribute smart and sustainable solutions and assist in solving current and future problems of different environments such as by buildings’ energy optimization, marine pollution monitoring, and air pollution monitoring in urban areas. Part of his research includes finding intelligent and energy-efficient solutions in smart buildings. He also seeks novel IoT-based methodologies in smart environments for having healthy work and living spaces. He is carrying out research on large-scale autonomous marine pollution monitoring using autonomous underwater vehicles. In addition, with the use of low-cost air quality sensors and emerging communication technologies such as 5G and beyond networks, he explores solutions for challenges related to enabling massive-scale deployments of air quality sensors in urban areas and seeking solutions for healthier living environments.