## Seminars

## Applied Mathematics Colloquium - Robert MacCurdy

Nov. 11, 2022

Robert MacCurdy, Department of Mechanical Engineering, University of Colorado Boulder Automated Design and Fabrication of Multimaterial Soft Robots Current electromechanical design practice is predicated on the exercise of expert-level judgement through an interactive and iterative design and fabrication process that requires skilled humans at every step. This approach doesn't scale...

## Applied Mathematics Colloquium - Heather Wilber

Nov. 4, 2022

Heather Wilber, Oden Institute, University of Texas at Austin Rational functions in computational mathematics From dynamical systems and signal processing theory to core algorithms in numerical linear algebra, rational approximation theory has always shaped the way we think about computational mathematics. Even so, outside of a few very active areas,...

## Applied Mathematics Colloquium - Mark Ablowitz

Oct. 28, 2022

Mark Ablowitz, Department of Applied Mathematics, University of Colorado Boulder Looking Back: Reflections on Research and Teaching Mark J. Ablowitz is the recipient of the 2022 Hazel Barnes Prize. This is the most prestigious single faculty award funded by the University of Colorado Boulder. It was established in 1991 to...

## Applied Mathematics Colloquium - Peter Hamlington

Oct. 21, 2022

Peter Hamlington, Department of Mechanical Engineering, University of Colorado Boulder The Structure and Dynamics of Puffing Plumes The near-field characteristics of highly buoyant plumes, commonly referred to as lazy plumes, remain relatively poorly understood across a range of flow conditions, particularly compared to our understanding of far-field characteristics. Buoyant plumes...

## Applied Mathematics Colloquium - Dorit Hammerling

Oct. 14, 2022

Dorit Hammerling, Department of Applied Mathematics and Statistics, Colorado School of Mines Lossy Data Compression and the Community Earth System Model Climate models such as the Community Earth System Model (CESM) typically produce enormous amounts of output data, and storage capacities have not increased as rapidly as processor speeds over...

## Applied Mathematics Colloquium - Bri-Matthias Hodge

Oct. 7, 2022

Bri-Mathias Hodge; Department of Electrical, Computer, and Energy Engineering; University of Colorado Boulder Designing a Sustainable and Reliable Future: Simulating Next Generation Energy Systems Power and energy systems worldwide are changing rapidly in the face of the global challenge of decarbonization and the subsequent addition of more distributed and variable...

## Applied Mathematics Colloquium - Steffen Borgwardt

Sept. 30, 2022

Steffen Borgwardt, Department of Mathematics, University of Colorado Denver Transitions between Clusterings Clustering is one of the fundamental tasks in data analytics and machine learning. In many situations, different partitions of the same data set become relevant. For example, different algorithms for the same clustering task may return dramatically different...

## Applied Mathematics Colloquium - Xudong Chen

Sept. 16, 2022

Xudong Chen; Department of Electrical, Computer and Energy Engineering; University of Colorado Boulder Structure Theory for Nonholonomic Ensemble Systems Ensemble control deals with the problem of using a common control input to simultaneously steer a large population (in the limit, a continuum) of individual control systems. In this talk, we...

## Applied Mathematics Colloquium - Daniel Larremore

Sept. 2, 2022

Daniel Larremore, Department of Computer Science, University of Colorado Boulder Estimating the Mitigation Potential of Screening Programs for Infectious Diseases The premise of screening programs for infectious diseases is that screening tests taken on the individual level have effects on population transmission. How can we estimate those effects? What data...

## Applied Mathematics Colloquium - George Karniadakis

April 8, 2022

Applied Mathematics Colloquium - George Karniadakis George Karniadakis, Department of Applied Mathematics, Brown University From Neural PDEs to Neural Operators: Blending data and physics for fast predictions Abstract: We will review physics-informed neural network and summarize available extensions for applications in computational mechanics and beyond. We will also introduce new...