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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.
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Tuesday, September 14 • 8:30am - 9:15am
Virtual Poster Walk - Part II

Chairs: Jebb Stewart; Yoonjin Lee

Rackhun Son – "Machine Learning provides substantial improvements to county-level fire weather forecasting over the western United States"
Meghna Babbar-Sebens – "InterACTWEL Cyberinfrastructure: Enabling Longitudinal Stakeholder Decision Support for Adaptation Planning in Local Communities"
Carroll A. Hood – "Proof-of-concept Demonstrations of the Application of Emerging Technologies into the Environmental Data Stewardship Lifecycle"
Lakshmish Ramaswamy – "Engineering Robust Machine Learning Systems for Blue Carbon Assessment"
Katherine Wilson – "Development of automated video review tools and processing to evaluate the performance of bycatch reduction devices in Alaska’s walleye pollock (Gadus chalcogrammus) fishery "
Jordan A. Caraballo-Vega – "Applicability of Mask R-CNN for Object Classification in Very High-Resolution Satellite Imagery"
Devaki Raj – "Scaling Computer Vision (CV) for Environmental Monitoring through Code-Free Tools
Izzat Kamarudzaman – "Towards AI Adoption: Data-driven Machine Learning Systems"
Gabrielle Gantos – "4D Post-Processing of Holographic Images"
Achraf Tounsi – "The use of machine learning to account for reservoir management and predict downstream streamflow values"
Xingming Liang – "A Deep Learning Based Forward Microwave Radiative Transfer Model "
Fan Meng – "Forecasting Tropical Cyclones Wave Height using Bidirectional Gated Recurrent Unit"
Handan Sun – "Tropical cyclone frequency prediction method based on neural network"

avatar for Yoonjin Lee

Yoonjin Lee

Post-doc, CIRA
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Weather Visualization and AI Research Development Branch Chief, NOAA GSL
Jebb Q. Stewart is the Weather Visualization and AI Research Development Branch Chief with NOAA's Global System Laboratory Weather, Informatics, and Decision Support Division in Boulder Colorado, and Co-Chair of NOAA's Artificial Intelligence Executive Committee. With a unique background... Read More →


Tuesday September 14, 2021 8:30am - 9:15am MDT
Qiqochat N/A