Seminars

Nonlinear Waves Seminar - Thibault Congy

Sept. 21, 2021

Speaker: Dr. Thibault Congy Affiliation: University of Northumbria, Newcastle, UK Title: Dispersive Riemann problem for the Benjamin-Bona-Mahony equation Abstract: The Benjamin-Bona-Mahony (BBM) equation $u_t + uu_x = u_{xxt}$ as a model for unidirectional, weakly nonlinear dispersive shallow water wave propagation is asymptotically equivalent to the celebrated Korteweg-de Vries (KdV) equation...

Nonlinear Waves Seminar - Justin Cole

Sept. 14, 2021

Justin Cole, Department of Mathematics, University of Colorado Colorado Springs Transverse Instability of Rogue Waves Rogue waves, or “freak waves”, are large amplitude waves that suddenly appear and then disappear. Originally the subject of folklore, these waves have now been successfully observed in numerous physical systems such as deep water...

Applied Mathematics Colloquium - John Bush

Sept. 10, 2021

John Bush, Department of Mathematics, Massachusetts Institute of Technology (MIT) Hydrodynamic quantum analogs In 2005, Yves Couder and Emmanuel Fort discovered that droplets walking on a vibrating fluid bath exhibit several features previously thought to be exclusive to the microscopic, quantum realm. These walking droplets propel themselves by virtue of...

Nonlinear Waves Seminar - Sean Nixon

Sept. 7, 2021

Sean Nixon, Department of Applied Mathematics, University of Colorado Boulder Analytical study of Floquet topological insulators The search for novel phenomena in photonic waveguides centers on engineering systems that feature unique dispersive properties often involving spectral degeneracies. From optical graphene to unidirectional invisibility to the anomalous quantum Hall effect, spectral...

Applied Mathematics Colloquium - Doug Nychka and Florian Gerber

Sept. 3, 2021

Doug Nychka, Department of Applied Mathematics and Statistics, Colorado School of Mines Florian Gerber, Department of Biostatistics, University of Zurich Climate models, large spatial datasets, and harnessing deep learning for a statistical computation Numerical simulations of the motion and state of the Earth's atmosphere and ocean yield large and complex...

Mathematical Biology Seminar - Dan Messenger

Aug. 30, 2021

Dan Messenger, Department of Applied Mathematics, University of Colorado Boulder Weak-Form Sparse Identification of Nonlinear Dynamics with Applications to Cell Migration The weak-form sparse identification of nonlinear dynamics (WSINDy) algorithm for inferring nonlinear governing equations from noisy datasets significantly improves the accuracy and robustness to noise of strong-form methods. Furthermore,...

Applied Mathematics Colloquium - Mason Porter

Aug. 27, 2021

Mason Porter; Department of Mathematics; University of California, Los Angeles (UCLA) Opinion Dynamics on Networks From the spreading of diseases and memes to the development ofopinions and social influence, dynamical processes are influenced heavilyby the networks on which they occur. In this talk, I'll discuss the socialinfluence and opinion models...

Mathematical Biology Seminar - David Bortz and Nancy Rodriguez

Aug. 23, 2021

David Bortz and Nancy Rodriguez, Department of Applied Mathematics, University of Colorado Boulder Overview of Math Biology Research in the Applied Math Department David Bortz will give an overview of the math bio group here in the Applied Math Department. He will also describe his research group and our investigations...

APPM Department Colloquium - Matthew Peters

April 30, 2021

Matthew Peters, Senior Research Scientist, Allen Institute for Artificial Intelligence A guided tour of contextual word representations for language understanding The last 3-4 years have seen a tremendous increase in the abilities of natural language understanding systems to perform tasks such as text generation, question answering, and information extraction. These...

APPM Department Colloquium - Abdelrahman Mohamed

April 26, 2021

Abdelrahman Mohamed, Research Scientist, Facebook AI Research Recent advances in speech representation learning Self-supervised representation learning methods recently achieved great successes in NLP and computer vision domains, reaching new performance levels while reducing required labels for many downstream scenarios. Speech representation learning is experiencing similar progress, with work primarily focused...

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