OD44B:
Machine Learning in Biological Oceanography I Posters
Session ID#: 28080
Session Description:
Recent technological advances in instrumentation and computing have allowed scientists across all disciplines to collect an unprecedented amount of data. Biological oceanographers in particular are now faced with vast datasets that stymie traditional analysis methods. Scientists are increasingly leveraging machine learning (ML) techniques to process and analyze these information rich datasets. ML algorithms are designed to learn from one dataset to make accurate predictions about a new, independent one. While specific application domains might be quite different, the ML approaches used for analysis are often very similar. This session therefore aims to (1) identify new ML methods or applications, (2) examine overlap in disciplines applying similar ML techniques, (3) facilitate discussion and interdisciplinary collaborations among ML practitioners in the ocean science community, and (4) identify gaps and specific needs for oceanographers using ML. The session chairs welcome any submission detailing work on ML methods for ecological data analysis and inference in aquatic systems. The session is intended to have a broad scope and we invite abstracts from diverse fields such as imaging, acoustics, genomics, and modeling.
Primary Chair: Eric Coughlin Orenstein, National Oceanography Centre, Southampton, United Kingdom
Co-chairs: Jessica Y Luo, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States, John Burns, University of Hawai'i, Marine Science, Papaikou, United States and Ludwig Houegnigan, Polytechnic University of Catalonia, Barcelona Tech, ETSEIB, Barcelona, Spain
Moderators: John Burns, University of Hawai'i, Marine Science, Papaikou, United States and Ludwig Houegnigan, Polytechnic University of Catalonia, ETSEIB, Barcelona, Spain
Student Paper Review Liaison: John Burns, University of Hawai'i, Marine Science, Papaikou, United States
Cross-Topics:
Abstracts Submitted to this Session:
Tzofi Malki Klinghoffer1, Caleb Perez2, Robert Vincent3, Paris Perdikaris3 and Chryssostomos Chryssostomidis3, (1)University of Alabama, Department of Computer Science, Tuscaloosa, AL, United States, (2)University of Washington Seattle, Department of Bioengineering, Seattle, WA, United States, (3)MIT Sea Grant, Cambridge, MA, United States
Mark Lewis, US Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, Richard L Crout, John C. Stennis Space Center, Stennis Space Center, MS, United States, Richard W Gould Jr, Naval Research Laboratory, Ocean Sciences, Stennis Space Center, MS, United States, Jason Jolliff, Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States, Sean McCarthy, Naval Research Laboratory, Stennis Space Center, MS, United States and Dara D Cadden-Kelly, Naval Oceanographic Office, Stennis Space Center, MS, United States
Daniel Wolff, University of North Carolina Greensboro, Greensboro, NC, United States, Patricia Gray, University of North Carolina Greensboro, NC, United States and Rafael de la Parra, Ch'ooj Ajauil AC, Mexico
Ying MA1, Bing Ouyang2, Jose Principe3, John Reed2 and Stephanie Farrington4, (1)University of Florida, Gainesville, FL, United States, (2)Florida Atlantic University, Harbor Branch Oceanographic Institute, Fort Pierce, FL, United States, (3)University of Florida, FL, United States, (4)Harbor Branch Oceanographic Institute, FAU, FL, United States
Stephen Monell Techtmann, Ryan B Ghannam, Timothy M Butler and Matthew Brenemann, Michigan Technological University, Biological Sciences, Houghton, MI, United States
Heidi M Sosik1, Joe Futrelle2, Louis W. Kilfoyle3 and Emily Peacock2, (1)Woods Hole Oceanographic Institution, Woods Hole, United States, (2)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (3)Brown University, Providence, RI, United States
Xiaopeng Cai1,2, Longzhuang Li1 and Philippe Tissot3, (1)Texas A&M University Corpus Christi, Department of Computing Sciences, Corpus Christi, TX, United States, (2)Texas A&M University Corpus Christi, Conrad Blucher Institute, Corpus Christi, TX, United States, (3)Texas A&M University-Corpus Christi, Conrad Blucher Institute for Surveying and Science, Corpus Christi, United States
Nissa Cooper Ferm, NOAA/NMFS/ Lynker Technologies- Under Contract to Alaska Fisheries Science Center, Resource Assessment and Conservation Engineering Division, Seattle, WA, United States, Lauren Rogers, NOAA, Alaska Fisheries Science Center, Seattle, WA, United States and Matthew Wilson, NOAA, Alaska Fisheries Science Center, Seattle, United States
Eric Coughlin Orenstein1, Kevin T Le2, Pedro Maravilha Morgado3, Paul L Roberts4, Melissa Carter5, Peter J. S. Franks6, Jules S Jaffe5, Nuno M. Vasconcelos2, William Chen2 and Students of UCSD-ECE191: Senior Capstone Design , (1)National Oceanography Centre, Southampton, United Kingdom, (2)University of California San Diego, Electrical and Computer Engineering, La Jolla, CA, United States, (3)University of California San Diego, Electrical and Computer Engineering, San Diego, CA, United States, (4)Scripps Institution of Oceanography, UC San Diego, La Jolla, CA, United States, (5)Scripps Institution of Oceanography, La Jolla, CA, United States, (6)Scripps Institution of Oceanography, La Jolla, United States
Kasia M Kenitz1, Eric Coughlin Orenstein2, Paul L Roberts3, Peter J. S. Franks4, Jules S Jaffe1 and Andrew David Barton5, (1)Scripps Institution of Oceanography, La Jolla, CA, United States, (2)National Oceanography Centre, Southampton, United Kingdom, (3)Scripps Institution of Oceanography, UC San Diego, La Jolla, CA, United States, (4)Scripps Institution of Oceanography, La Jolla, United States, (5)Scripps Institution of Oceanography, Section of Ecology, Behavior and Evolution, La Jolla, CA, United States
