Dr. Jeff EllenI recently graduated with a PhD in machine learning/Computer Science from the University of California San Diego, but I spent most of my time at the Scripps Institution of Oceanography. I am also a Research Scientist at SPAWAR Systems Center Pacific.
My focus is Applied Research in Machine Learning for Oceanography. Specifically, my dissertation focused on investigating ways to improve automated classification of images of plankton. I was co-advised by: Prof. Charles Elkan from the Artificial Intelligence Group in CSE Prof. Mark Ohman from the Integrative Oceanography Divison at SIO |
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Selected PublicationsEllen, J. S., Graff, C. A., and Ohman, M. D. Improving plankton image classification using context metadata.Limnology and Oceanography - Methods (2019)439-461DOI 10.1002/lom3.10324 Ohman, M. D., Davis, R. E., Sherman, J. T., Grindley, K. R., Whitmore, B. M., Nickels, C. F., and Ellen, J. Zooglider: an autonomous vehicle for optical and acoustic sensing of zooplankton. Limnology and Oceanography: Methods (2018): 69-86.DOI 10.1002/lom3.10301 Ellen, J., Li, H., and Ohman, M. D. (2015). Quantifying California Current Plankton Samples with Efficient Machine Learning Techniques. Proceedings of OCEANS.15 MTS/IEEE Washington. (pp. 1-9) DOI: 10.23919/OCEANS.2015.7404607 Graff, C., and Ellen, J. (2016). Correlating Filter Diversity with Convolutional Neural Network Accuracy. Proceedings of 15th IEEE International Conference on Machine Learning and Applications (ICMLA). (pp. 75-80) IEEE Computer Society DOI: 10.1109/ICMLA.2016.0021 (all publications) PresentationsEllen, J. and Ohman, M. D. (2020) In-situ Dynamics of Marine Snow: Assessment by an Autonomous ZoogliderMoving Beyond Technology: How Quantitative Image-Based Methods Help Reveal Ocean Ecology Session @ AGU/ASLO Ocean Sciences Meeting. Feb 16-21, 2020. San Diego, CA. Ellen, J. (2019) Improving plankton image classification using context metadata. International Workshop:Artificial Intelligence for Characterizing Plankton Traits from Images, Apr 24-26 2019. Villefranche-sur-Mer, France Ellen, J. (2019) Where, When, and Water Conditions - Plankton Image Classification with Context Metadata. Small Scale Spatial and Temporal Patterns in Particles, Plankton, and Other Organisms Session @ ASLO Aquatic Sciences Meeting, Feb 23-Mar 2, 2019. San Juan, PR Ellen, J. and Ohman, M. D. (2018) One Size Fits All? Determining the Impact of Image Size on Deep Learning Classifications of Marine Zooplankton. Machine Learning in Biological Oceanography Session @ AGU/ASLO Ocean Sciences Meeting, Feb 11-16, 2018. Portland, OR Ellen, J. and Ohman, M. D. (2017) Leveraging Context to Improve Machine Learning Classifications of Marine Zooplankton. New Directions In Plankton Ecology Session @ ASLO Aquatic Sciences Meeting, March 1, 2017. Honolulu, HI AcknowledgementsI'm grateful for the support I have recieved from:
I'm also thankful for the many people who have supported me including:
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DisambiguationI spent most of my formative years in Mount Prospect, Illinois.I earned my BS and Masters in CS from the University of Illinois at Urbana-Champaign. My favorite color is still Illini Orange. |