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Radiant Earth Foundation is hosting an international expert workshop to discuss how best to use machine learning (ML) techniques on NASA’s Earth Observation (EO) data and address environmental challenges. In particular, generation and usage of training datasets for ML applications using EO will be discussed. Participants of the workshop will evaluate recent advancements, identify existing obstacles and develop a best practices guideline to enhance the adoption of these techniques.   

This workshop is sponsored by the NASA Earth Science Data Systems (ESDS) program.

Tuesday, January 21 • 11:00am - 12:30pm
Lightning Presentations (1)

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Speakers
avatar for Dalton Lunga

Dalton Lunga

Lead Machine Learning Scientist, Oak Ridge National Laboratory
avatar for May Casterline

May Casterline

Senior Data Scientist, NVIDIA
Dr. May Casterline is a data scientist/image scientist/software developer with a background in satellite and airborne imaging systems. Her research interests include deep learning, hyperspectral and multispectral imaging, innovative applications of machine learning approaches to remote... Read More →
avatar for Ilkay Altintas

Ilkay Altintas

Chief Data Science Officer, UC San Diego, San Diego Supercomputer Center
avatar for Andi Gros

Andi Gros

Data Scientist, Facebook
I am a scientist with a background in complex systems on Facebook’s core data science team. I currently work on machine learning problems to tackle large quantities of textual data (topic modeling). I also work on spatial demographic questions for internet.org. For my PhD I studied... Read More →
SB

Steven Brumby

Senior Director Geographic Visualization, National Geographic Society
avatar for Zhuang-Fang Yi

Zhuang-Fang Yi

Machine Learning Engineer, Development Seed
avatar for Gencer Sumbul

Gencer Sumbul

Research Associate & PhD Candidate, Technische Universität Berlin
DH

Daniel Hogan

Data Scientist, IQT CosmiQ Works


Tuesday January 21, 2020 11:00am - 12:30pm
Cosmos Club (Crentz Room) 2121 Massachusetts Ave NW, Washington, DC 20008, USA

Attendees (9)