Colloquium
- Nadir Jeevanjee, Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration (NOAA)The surprising fluid dynamics of atmospheric thermalsAtmospheric convection is both ubiquitous and fundamental to the climate system, as
- Enrico Camporeale, Space Weather Prediction Center, National Oceanic and Atmospheric AdministrationUsing Physics-Informed Neural Networks for solving inverse problems: a space physics case studyWe use the framework of Physics-Informed Neural Network
- Peter Thomas; Department of Mathematics, Applied Mathematics, and Statistics; Case Western Reserve UniversityA Universal Description of Stochastic OscillatorsMany systems in physics, chemistry and biology exhibit oscillations with a pronounced
- Steve Penny, Data Assimilation Lead, Sofar OceanAdvances in integrating Artificial Intelligence / Machine Learning (AI/ML) with Data Assimilation (DA) to produce data-driven weather forecasts.A number of exciting advances in Machine Learning (ML)
- Isla Simpson, National Center for Atmospheric Research (NCAR), Boulder, COFuture projections in the large-scale atmospheric circulation response to climate change: uncertainties, implications and progressAccurate future projections of the climate
- Nathalie Vriend, The Paul M. Rady Department of Mechanical Engineering, University of Colorado BoulderGranular Flows: Photoelastic avalanches & Bedform dynamicsFlowing granular materials arise everywhere around us, in industry from
- Daniel Acuña, Department of Computer Science, University of Colorado BoulderRobust Scientific Image Tampering Detection through Noise Inconsistencies and Null ModelsScientific image tampering is a critical issue that undermines the research
- Kyle Luh, Department of Mathematics, University of Colorado BoulderExtreme Eigenvalues of a Random Laplacian MatrixThe extreme eigenvalues of a random matrix have been important objects of study since the inception of random matrix theory and
- Alessandro Peri, Department of Economics, University of Colorado BoulderProgramming FPGAs for Economics: An Introduction to Electrical Engineering Economics We show how to use field-programmable gate arrays (FPGAs) and their associated high-level
- Alexander Young, Anderson School of Management, University of California - Los Angeles (UCLA)Inferring genetic causation using randomization of genetic material within families and modeling intergenerational inequalitiesMultiple phenomena contribute