Christopher Bell: "Race, Gender and Inclusiveness in Pop Culture"

Nov. 7, 2019

Engineers, like everyone, are influenced by media messages every day. Don’t miss this opportunity to interact with TED speaker, renowned media scholar and CU Boulder alumnus, Chris Bell, PhD and consider how media impacts your personal and professional life as an engineer working to address societal issues. Bell specializes in...

Postdoc Tutorial: LaTeX Documents and Presentations

Oct. 4, 2019

The Postdoctoral Association of Colorado, Boulder has organized this series of monthly tutorials/workshops on topics that may be useful to postdocs, students, and faculties across different disciplines. Everyone is invited to attend! If you'd like to offer to give one workshop, and/or have topic ideas, please fill out this form...

APPM Instructor Candidate - Brett Werner

Sept. 19, 2019

Brett Werner Department of Mathematics, University of Colorado Boulder On Machine Learning Machine learning (ML) is the process of making computers learn without specifically programming them to do so. ML has a variety of applications including predicting revenue, detecting credit card fraud, and self-driving cars. We will begin by discussing...

APPM Instructor Candidate - Osita Onyejekwe

Sept. 17, 2019

Osita Onyejekwe Department of Mathematics, University of Colorado Boulder Feature Detection in Observed Climate Factors The detection of inflection points is an important task in science and engineering. This task is onerous with subjective results. Signals are often corrupted with noise and signal denoising is often required before feature extraction,...

APPM+CS Postdoc Seminar: Gary Nave

April 5, 2019

Title: Flying snakes, attracting manifolds, and the trajectory divergence rate Abstract: Inspired by the gliding behavior of the paradise tree snake, Chrysopelea paradisi, I will discuss a simplified model for passive aerodynamic flight which gives an intuitive and dynamically rich 2 degree-of-freedom system. Within this model, all trajectories collapse quickly...

APPM+CS Postdoc Seminar: Sophie Giffard

March 15, 2019

Title: Deep learning for hurricane forecasting Abstract: The forecast of hurricane trajectories is crucial for the protection of people and property, but machine learning techniques have been scarce for this so far. I will present a method that we developed recently, a fusion of neural networks, that is able to...

APPM+CS Postdoc Seminar: Valeria Barra

Feb. 15, 2019

Title: "Efficient representation of high-order finite element operators" Abstract: We present an extensible low-level library that provides a versatile algebraic interface and optimized implementations suitable for high-order operators: libCEED. This library aims to overcome the challenges in high-order methods that use global sparse matrices as operator representations. In fact, one...

AWM Special Seminar - Kristin Lauter

Feb. 12, 2019

Private AI (or: How to Keep Your Location Data Secret) As the world rushes towards the adoption of Artificial Intelligence (AI) in all aspects of our lives, the promise is great, but the risks are many. AI can help to improve and simplify our daily lives and introduce new types...

APPM+CS Postdoc Seminar: Olena Burkovska

Jan. 18, 2019

Title: " Approximation of parametrized kernels arising in nonlocal and fractional Laplace models" Abstract: We consider parametrized linear and obstacle problems driven by a spatially nonlocal integral operator. These problems have a broad impact on current developments in different fields such as, e.g., peridynamics, contact mechanics, and finance. We focus...

APPM+CS Postdoc Seminar - Jeffrey Hokanson

Dec. 14, 2018

In many applications throughout science and engineering, model reduction plays an important role replacing expensive large-scale linear dynamical systems by inexpensive reduced order models that capture key features of the original, full order model. One approach to model reduction is to find reduced order models that are locally optimal approximations...

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