Seminar:

CSEM Student Forum: An Introduction to Nonintrusive Model Reduction and A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data
Friday, October 2, 2020
1PM – 2PM
Zoom Meeting

Shane McQuarrie & Amelia Henriksen

Speaker 1: Shane McQuarrie
Title: An Introduction to Nonintrusive Model Reduction via Operator Inference
Abstract: This talk is a gentle introduction to projection-based model reduction and a technique for learning reduced-order models from data. We compare and contrast the procedure to generic finite-element methods and show numerical results for a combustion application.
Bio: Shane McQuarrie is a third-year CSEM PhD student. He works with Dr. Karen Willcox on parametric reduced-order modeling for a variety of applications, including combustion, additive manufacturing, and plasma physics.

Speaker 2: Amelia Henriksen
Title: Overview of "A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data"
Abstract: This paper explains foundational unsupervised algorithms for anomaly detection, the problems they solve, and their development over time. We analyze the pros and cons of the paper's empirical study, which offers insight into testing and verification for this critical area of research.
Bio: Amelia Henriksen is a fifth-year PhD candidate advised by Dr. Rachel Ward. Her research is in theory and algorithm development for dimensionality reduction in the online setting.

Note: The Oden Institute Student Forum Series provides CSEM Phd students the opportunity to present their work.

For questions, please contact: shanemcq@utexas.edu

Hosted by Shane McQuarrie


Media:



 Event Stream Link: Click Here to Watch