In April 2022, 4 Sage nodes (3 Wild Sage Nodes and 1 Blade Node) were deployed with an array of sensors (thermographic camera, air quality sensor, etc.) to collect data to better our understanding of smoke and wildfire detection.
Hi, I am Pratool Bharti, an assistant professor in Computer Science department at Northern Illinois University (NIU). Before joining NIU, I worked for 2 years in a Florida based startup as a research and development manager. There, my role was to design and build computer vision and machine learning based yard management system that automatically tracks the vehicles inside a freight yard.
For five days last July, fourteen high school students attended a virtual coding camp sponsored by Argonne National Laboratory’s Educational Programs and Outreach and the Argonne Leadership Computing Facility (ALCF), co-taught by laboratory scientists and informal learning educators, and focused on learning techniques for probing and analyzing massive scientific datasets.
Scott Collis, one of the leaders of the Sage project was on local public television August 12th to discuss the devastating derecho storms that hit the Chicago area.
Scott Collis and Jim Olds have been exploring how software-defined radios could be used to improved lightning detection.
Held on the May 11-12, the virtual workshop brought together researchers and scientists to discuss progress on a Northwestern-led project, called SAGE, to develop machine learning-based sensors for environmental monitoring. Read more at NAISE...
Included here is the agenda of the workshop with links to the presentation slides:
Led by investigators at the Northwestern-Argonne Institute of Science and Engineering, researchers are designing a smart new way to monitor our surroundings, from natural ecosystems to urban infrastructure. Read more at NAISE Research News...
