Colloquium
- Anna-Karin Tornberg, Department of Mathematics, KTH Royal Institute of Technology, Stockholm, SwedenLayer potentials - quadrature error estimates and approximation with error controlWhen numerically solving PDEs reformulated as integral
- Michelle Girvan, Department of Physics, University of MarylandTailored Forecasts from Short Time Series Using Meta-Learning and Reservoir ComputingMachine learning (ML) models can be effective for forecasting the dynamics of unknown
- Vladimir Rokhlin, Arthur K Watson Professor of Computer Science & Mathematics, Yale UniversityFinding scattering resonances via generalized colleague matricesLocating scattering resonances is a standard task in certain areas of
- Deanna Needell, Department of Mathematics, University of California - Los Angeles (UCLA)Fairness and Foundations in Machine LearningIn this talk, we will address areas of recent work centered around the themes of fairness and foundations in
- Applied Math for the Heart; Take a few PDEs and call me in the morning.The heart is an electro-mechanical system in which, under normal conditions, electrical waves propagate in a coordinated manner to initiate an efficient contraction. In
- Nick Trefethen, Professor of Applied Mathematics in Residence, Harvard UniversityThe AAA Algorithm for Rational ApproximationWith the introduction of the AAA algorithm in 2018 (Nakatsukasa-Sete-T., SISC), the computation of rational
- Ioannis Kevrekidis, Bloomberg Distinguished Professor, Department of Applied Mathematics and Statistics, Johns Hopkins Whiting School of EngineeringNo Equations, No Variables, No Space and No Time: Data and the Modeling of Complex SystemsI
- Dane Taylor, Department of Mathematics and Statistics, University of WyomingConsensus processes over networks: Past, present, and futureModels for consensus---that is, the reaching of agreement---have been developed, e.g., to study how group
- Cecilia Diniz Behn, Department of Applied Mathematics and Statistics, ֱ School of MinesDynamics of sleep homeostasisThe “homeostatic sleep drive” describes sleep need that increases during wake and decreases during sleep. Using a
- Mark Ward, Department of Mathematics, Purdue UniversityThe Data Mine Model for PartnershipsThe Data Mine at Purdue University is a pioneering experiential learning community for undergraduate and graduate students of any background to