Presentations and Posters on AI2ES Topics


Non-peer-reviewed and invited presentations

2021

  • Betz, Dara (2021) Map Your Career with Geospatial Technology & Artificial Intelligence. West Oso High School Career Day. Slides here.
  • Dinh, Hue; Kamangir, Hamid; Collins, Waylon; King, Scott Alan; Tissot, Phillipe; Durham, Niall; Rizzo, James (2021) Deep Learning Predictions of Coastal Fog Using Autoencoders. AMS 101st Annual Meeting. AI student award, Honorable Mention. Recording here.
  • Hall, David (2021) Exploring the Frontiers of Deep Learning for Earth System Observation and Prediction. AMS 101st Annual Meeting. Recording here.
  • Kamangir, Hamid; Tissot, Philippe; Collins, Waylon; King, Scott. A.; Dinh, Hue; Durham, Niall; Rizzo, James (2021). FogNet: A Multiscale 3D CNN with an Attention Mechanism and a Dense Block for Fog Predictions. AMS 101st Annual Meeting. AI student award, Third Place. Recording here.
  • Lagerquist, Ryan; McGovern, Amy; Gagne, David John; Homeyer, Cameron (2021) Using Significance Tests and Physical Constraints to Interpret a Neural Network for Tornado Prediction. AMS 101st Annual Meeting. Recording here.
  • Lagerquist, Ryan; Stewart, Jebb; Kumler, Christina; Ebert-Uphoff, Imme (2021) Deep Learning for Short-Term Forecasting of Convective Initiation and Decay over Taiwan. AMS 101st Annual Meeting. Recording here.
  • Lagerquist, Ryan; Turner, David D.; Ebert-Uphoff, Imme; Hagerty, Venita; Kumler, Christina; Stewart, Jebb (2021) Deep Learning for Parameterization of Shortwave Radiative Transfer. AMS 101st Annual Meeting. Recording here.
  • McGovern, Amy (2021) NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography. Keynote talk, AMS 101st Annual Meeting. Recording here.
  • Pashaei, Mohammad; Starek, Michael (2021) Raw Digitized Waveform versus Attributes Derived from Online Waveform Analysis for Point Cloud Classification. AMS 101st Annual Meeting. Recording here.
  • Starek, Michael; Pashaei, Mohammad (2021) Deep Learning-Based Super-Resolution to Enhance UAS Imagery for Coastal Mapping. AMS 101st Annual Meeting. Recording here.
  • Ver Hoef, Lander; Lee, Yoonjin; Adams, Henry; King, Emily; Ebert-Uphoff, Imme (2021) Topological Data Analysis for Identifying Convection in GOES-R Imagery. AMS 101st Annual Meeting. Recording here

2020

  • Caruso, Korinne;  Nelson, John; Tissot, Philippe; and Davis, Phil (2020) Broadening the AI Workforce through a Community College Program. Presented at the 2020 Virtual ATE Conference.
  • Kamangir, H., Collins, W., Tissot, P., King, S.A., Dinh, H., Durham, N., and Rizzo, J. (2020) FogNet: A 3D Attention Convolutional Neural Network for Fog Prediction. Presentation at the 2020 YOUMARES 11 Conference, Deutsche Gesellschaft für Meeresforschung, Hamburg, Germany. 
  • McGovern, Amy. (2020) Building trustworthy AI for environmental science. Invited talk for the AIML@OU seminar.
  • McGovern, Amy. (2020) Building trustworthy AI for environmental science. Invited talk for the Georgia Tech Institute for Data Engineering and Science (Ideas) Machine Learning seminar.
  • McGovern, Amy. (2020) Building trustworthy AI for environmental science. Invited talk for the Machine Learning seminar series.  Recorded slides are talk are here.
  • McGovern, Amy (2020) Building trustworthy AI for environmental science. Invited talk for the NITRD Big Data and AI annual meeting.
  • McGovern, Amy (2020) Building trustworthy AI for environmental science. OU School of Meteorology Convective Seminar.
  • McGovern, Amy. (2020) Machine Learning for High-Impact Weather. Invited talk for Science Discussion Group at the Storm Prediction Center.
  • McGovern, Amy (2020) NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography. Keynote talk to the 2020 ASR/ARM Topical Workshop on Machine Learning and Statistical Methods for Observations, Modeling, and Observational Constraints on Modeling.
  • McGovern, Amy. (2020) Trustworthy AI for High Impact Weather Prediction. Presented at the 2nd Workshop on Leveraging AI in Environmental Science. Recordings and slides are available here.
  • Vicens Miquel, Marina; Medrano, F. Antonio; Tissot, Philippe (2020) Wet/Dry Shoreline GeoDetection by Applying Deep Learning Analysis to UAV Imagery. To be presented at the Reasoning in GeoAI Workshop

Posters

2021

  • Coming soon!