Four Georgia Tech research hubs have launched a new “chalk & talk” brown bag lunch series on Big Data. The weekly series, sponsored jointly by the Institute for Data & High Performance Computing (IDH), Institute for Materials (IMaT), Center for Data Analytics (CDA) and Center for High Performance Computing (HPC) will be held on most Thursdays during the Fall and Spring Semesters and feature a mix of topics, including those related to big data for materials and manufacturing, as well as other topics critical to the broader area of big data.

All meetings are held on Thursdays during lunchtime. 

Date: November 21
Topic: Nonlinear Dimension Reduction and Microstructure Space

Abstract: In this talk I will survey some recent advances in nonlinear dimension reduction and manifold learning, especially how can one move beyond PCA to incorporate nonlinearity in reduced dimension representation of microstructures.

Presenters(s): Hongyuan Zha