3rd NOAA Workshop on Leveraging AI in Environmental Sciences

Chairs: Jordan Watson; Yoonjin Lee

Posters:
Ali Muhamed Ali – "Prediction of Loop Current Frontal Expansion Using SSH Contour Lines with a Machine Learning Approach"
Sanjeev Koppal – "A.I.-enabled Underwater Lighthouses"
Marina Chaji – "Expanded standardized spatial data and development of site choice models to support economic impact analysis of offshore energy and aquaculture siting in the Greater Atlantic Region."
Peter Tueller – "FishSense: 3D Imaging for Fish Detection, Measurement, and Assessment"
SUZANNE ROMAIN – "Machine vision species identification for species groupings hard for humans to identify accurately"
Laura McGee – "Cloud-Free Reconstruction of Physical and Biochemical Variables Using a Machine Learning Method "
Erin Moreland – "Artificial intelligence applications in aerial surveys for ice-associated seals and polar bears"
KUNAL BHAVESH MEHTA – "OrcaAL: Active listening and learning for orca sound detection"
Liese Siemann – "Improving automated detection of scallops and flounder in optical surveys with stereo detection methods"
Ashley Woods – "Analysis on American Saltwater Marine Vertebrates’ behavior using a deep neural network to predict upcoming environmental instabilities"
Yawen Zhang – "Automated identification of Atlantic herring schools from decades of multifrequency echosounder data using weakly supervised machine learning"
Wu-Jung Lee – "Data-driven decomposition of echosounder time series for ecological insights"
William Tarpeh – "AI for automated marine data acquisition using novel nitrogen sensors"
Taylor Lee – "Geospatial machine learning to predict seafloor hard grounds/habitats"
Shlomi Ziskin Ziv – "Flash floods prediction using precipitable water vapor derived from tropospheric path delays over the Eastern Mediterranean"
Kshitij Dahal – "Machine learning to estimate precipitation with multiple satellite-based precipitation and gauge observations in Karnali River Basin, Nepal"