Seminars

Applied Mathematics Colloquium - Sebin Gracy

Oct. 27, 2023

Sebin Gracy, Rice Academy of Fellows, Rice University Spreading processes over networks The talk focuses on mathematical epidemiology, or, more broadly, on spreading processes. Spreading processes are observed in several settings. Prominent examples include the spread of viruses, in particular, pandemics such as COVID-19, Spanish flu; spread of opinions on...

Applied Mathematics Colloquium - Daniel Gomez

Oct. 20, 2023

Daniel Gomez, Center for Mathematical Biology, University of Pennsylvania Asymptotic Analysis of Singularly Perturbed Problems with Lévy Flights What does a reaction-diffusion system where one species has an asymptotically small diffusivity have in common with the problem of finding the average time for a Brownian particle to first hit an...

Applied Mathematics Colloquium - Gadi Fibich

Oct. 13, 2023

Applied Mathematics Colloquium - Gadi Fibich Gadi Fibich, Department of Applied Mathematics, Tel Aviv University TBA TBA More information about this speaker may be found at https://www.tau.ac.il/~fibich/

Applied Mathematics Colloquium - Juliane Mueller

Oct. 6, 2023

Juli Mueller; Artificial Intelligence, Learning, and Intelligent Systems (ALIS) group; National Renewable Energy Laboratory (NREL) Derivative-free Optimization Algorithms using Surrogate Models and Active Learning Many scientific domains rely on computational simulation models to approximate physical phenomena under study. In some cases these simulations have parameters that must be tuned such...

Applied Mathematics Colloquium - Emily King

Sept. 29, 2023

Emily King, Department of Mathematics, Colorado State University Interpretable, Explainable, and Adversarial AI: Data Science Buzzwords and You (Mathematicians) Many state-of-the-art methods in machine learning are black boxes which do not allow humans to understand how decisions are made. In a number of applications, like medicine and atmospheric science, researchers...

Applied Mathematics Colloquium - Madeleine Udell

Sept. 22, 2023

Madeleine Udell, Institute for Computational and Mathematical Engineering, Stanford University Low rank approximation for faster optimization Low rank structure is pervasive in real-world datasets. This talk shows how to accelerate the solution of fundamental computational problems, including eigenvalue decomposition, linear system solves, composite convex optimization, and stochastic optimization (including deep...

Applied Mathematics Colloquium - Bradley Warner

Sept. 15, 2023

Bradley Warner, Director of Data Science Program, US Air Force Academy Data Science Education: A Journey of Creation and Implementation In the increasingly data-driven landscape of decision-making, the demand for skilled data scientists is on the rise. Therefore, the development and execution of data science education programs have become essential...

Applied Mathematics Colloquium - Maria Kazachenko

April 28, 2023

Maria Kazachenko, Laboratory for Atmospheric and Space Phenomena (LASP), University of Colorado Boulder Solar Magnetic Fields Before and During Eruptions: Perspectives with the Largest Telescope to observe the Sun (DKIST) Space weather is largely caused by the activity of our Sun. Invisible yet powerful magnetic fields, created within the Sun,...

Applied Mathematics Colloquium - Abigail Crocker

April 21, 2023

Abigail Crocker, Department of Mathematics & Statistics, The University of Vermont Statistics and Social Justice Transforming the criminal-legal system is of broad interest. There is growing recognition of the inequities in our current system as well as its negative impacts on justice-involved populations and communities, including harms from mass incarceration...

Applied Mathematics Colloquium - Henrik Lakisch

April 14, 2023

Henrik Kalisch, Department of Mathematics, University of Bergen, Norway Coastal Modeling in Norway: When Shallow Water Runs Deep For coastal communities around the world, catastrophic storm waves and storm surge events pose the biggest threat to life and property. For these major events, forecasting is relatively reliable, protective structures are...

Pages