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About the workshop

This virtual workshop is a continuation of the NOAA series of workshops on “Leveraging AI in Environmental Sciences.” The third event continues the successes of previous workshops and encourages participation by scientists, program managers, and leaders from the public, academic and private sectors who work in AI and environmental sciences. The theme for this year’s workshop is “Transforming Weather, Climate Services, and Blue Economy with Artificial Intelligence.” This year’s workshop is led by the NOAA Center for Artificial Intelligence (NCAI), a program in the formulation stage.

All time listed on this page is Mountain Time (UTC-6) by default. You can change to your local time zone on the right side of this page. Questions regarding the workshop can be addressed to ai.workshop@noaa.gov. View the participant handbook for how to navigate the workshop technology platforms.

Registration for the workshop is closed and this page is viewable to registered participants only. Please do not share your access code publicly.
Back To Schedule
Wednesday, September 15 • 4:00pm - 4:45pm
Virtual Poster Walk - Part IV

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Chairs: Brian Meyer; Yoonjin Lee

Posters:
Thomas Y. Chen – "Interpretability for Deployable AI Systems for Groundwater Assessment"
President, Palantir USG and CTO Akash Jain – "Operationalizing AI: Lessons From the Field"
Aaron Hill – "Medium-range Forecasts of Hazardous Weather with Machine Learning"
Marouane Temimi – "A deep learning-based automated system to monitor hydrological and hydraulic processes in northern watersheds in the US using JPSS VIIRS imagery"
Ouri Wolfson – "MY-AIR: A Personalized Air-quality Information Service"
Nicole Haffke – "Machine Learning for Tornado Detection and Warnings"
Andrew Justin – "Toward Operational Real-time Identification of Frontal Boundaries Using Machine Learning"
Manmeet Singh – "Deep learning-based urban precipitation downscaling for smart city applications"
Alison Jarvis – "Automated solar feature identification using a random forest algorithm"
Garrett Graham – "A Feasibility Study on the Use of Machine Learning as a Quality Control Strategy"

Chairs
avatar for Yoonjin Lee

Yoonjin Lee

Post-doc, CIRA
avatar for Brian Meyer

Brian Meyer

Associate Scientist, NOAA NCEI

Speakers
avatar for Thomas Y. Chen

Thomas Y. Chen

Student, Academy for Mathematics, Science, and Engineering
avatar for Aaron Hill

Aaron Hill

Research Scientist, Colorado State University
Hello! I am a Research Scientist I at Colorado State University where I am researching the application of machine learning for high-impact weather forecasting. I received my PhD and M.S. from Texas Tech University, focusing on convection predictability, ensemble forecasting, and sampling... Read More →
avatar for Marouane Temimi

Marouane Temimi

Associate Professor, Stevens Institute of Technology
Associate ProfessorStevens Institute of Technology
OW

Ouri Wolfson

University of Illinois
Ouri Wolfson's main research interests are in big data, distributed systems, mobile/pervasive computing, smart city, and connectomics. He received his B.A. degree in mathematics, and his Ph.D. degree in computer science from Courant Institute of Mathematical Sciences, New York University... Read More →

Exhibitors

Wednesday September 15, 2021 4:00pm - 4:45pm MDT
Qiqochat N/A