Colloquium
- Heather Zinn Brooks, Department of Mathematics and Barbara Stoke Dewey Assistant Professor of the Life Sciences, Harvey Mudd CollegeEmergence of polarization in a sigmoidal bounded-confidence model of opinion dynamicsWe propose a nonlinear bounded-
- Daniele Avitabile, Amsterdam Center for Dynamics and Computation, Vrije Universiteit AmsterdamUncertainty Quantification for Neurobiological NetworksThis talk presents a framework for forward uncertainty quantification problems in spatially-extended
- Malena Español, School of Mathematical and Statistical Sciences, Arizona State UniversityComputational Methods for Inverse Problems in ImagingDiscrete linear and nonlinear inverse problems arise from many different imaging systems. These problems
- Sebin Gracy, Rice Academy of Fellows, Rice UniversitySpreading processes over networksThe talk focuses on mathematical epidemiology, or, more broadly, on spreading processes. Spreading processes are observed in several settings. Prominent examples
- Daniel Gomez, Center for Mathematical Biology, University of PennsylvaniaAsymptotic Analysis of Singularly Perturbed Problems with Lévy FlightsWhat does a reaction-diffusion system where one species has an asymptotically small diffusivity have in
- Applied Mathematics Colloquium - Gadi FibichGadi Fibich, Department of Applied Mathematics, Tel Aviv UniversityTBATBAMore information about this speaker may be found at https://www.tau.ac.il/~fibich/
- Juli Mueller; Artificial Intelligence, Learning, and Intelligent Systems (ALIS) group; National Renewable Energy Laboratory (NREL)Derivative-free Optimization Algorithms using Surrogate Models and Active LearningMany scientific domains rely on
- Emily King, Department of Mathematics, Colorado State UniversityInterpretable, 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
- Madeleine Udell, Institute for Computational and Mathematical Engineering, Stanford UniversityLow rank approximation for faster optimizationLow rank structure is pervasive in real-world datasets. This talk shows how to accelerate the solution
- Bradley Warner, Director of Data Science Program, US Air Force AcademyData Science Education: A Journey of Creation and Implementation In the increasingly data-driven landscape of decision-making, the demand for skilled data