Accelerating Informatics: Posters

Poster Number	Presenter	Organization	Poster Title
4	Jake Stevens	Climastry	Piece-Rate Emissions Factors (PREF) for Better Industrial Emissions Estimates
6	Ryan Abernathey	Earthmover PBS	Arraylake: A Cloud Platform for Scientific Data
7	Matthew Zamora	Fluffy NAS	Fluffy NAS, Portable At-home Cloud Storage
8	Eric Chol	GHGSat	Validation and Metrics for Methane Plume Imaging and Quantification
9	Aaron Kaplan	IRI, Columbia University	The IRI Climate Data Library
10	Ian Colwell	Muon Space	The Muon Space GNSS-R Based Soil Moisture Product and Satellite Constellation
14	Nathan Swain	Tethys Geospatial Foundation & Aquaveo	Tethys Generated Decision Support Web Applications - Host, Share, and Visualize Earth Science Data
17	Noussair Lazrak	New York University	Optimizing Air Quality Forecasts with High Resolution: Integrating NASA's GEOS-CF Model and Ground-Based Data through Advanced Machine Learning Techniques

Poster Number	Presenter	Organization	Poster Title
1	Bok Baek	George Mason University	Development of Spatiotemporal Physically-informed Top-Down NH3 and NOX Emissions over the U.S. using a Al Machine- Learing Inverse Modeling System with Observations
6	Hafez Ahmad	Mississippi State University	Al-Driven Approaches for Real-Time Satellite Data Processing and Analysis
10	Thilanka Munasinghe	University at Albany/ NASA Goddard Space Flight Center	Quantum Leap: Evaluating the Feasibility of Quantum Machine Learning With NASA Earth Observational Data
11	Rodrigo Vargas	University of Delaware	Downscaling Soil Moisture Using Time-Specific Adaptable Machine Learning Models
13	Atri Dutta	Wichita State University	Data-Driven Hazard Detection and Prediction for Disaster Risk Reduction
14	Tristan Horner	Woods Hole Oceanographic Institution	From Data to Discovery: Accelerating Chemical Oceanography with ML
16	Russell Qualis	University of Idaho	Machine Learning To Process lnterannually-Recurring Satellite Remotely Sensed Mountain Snowmelt Patterns
18	Afreen Siddiqi	Massachusetts Institute of Technology	Quantitative value-driven methods for Earth observing systems architecture design and data use
19	Konstantinos Vogiatzis	University ofTennessee	Al Workflows Based on Quantum Chemistry and Molecular Topology for the Exploration of Chemical Databases
20	Stuart Blundell	MDA	RADARSAT-2 for NASA Earth Science Informatics