## Seminars and Colloquia by Series

### Graphs, Geometry and Gerrymandering

Series
Other Talks
Time
Saturday, October 23, 2021 - 16:00 for 1 hour (actually 50 minutes)
Location
Clough auditorium and via Bluejeans
Speaker
Moon DuchinTufts University

Please Note: This is a public talk the School of Math is co-sponsoring with the Gathering 4 Gardner Foundation. Please check later for the Bluejeans link

What are all the ways to draw the lines, when you're dividing up a state to get representation? If you can't find them all, can you choose a good sample? I'll discuss some surprisingly simple questions about graphs and geometry that can help us make advances in policy and civil rights.

### Alice in Königsberg

Series
Other Talks
Time
Thursday, October 22, 2020 - 20:00 for 30 minutes
Location
ONLINE at https://zoom.us/j/93502013825
Speaker
Evans Harrell and GT Club Math studentsGeorgia Tech

This skit recounts one of the foundation stories of mathematics, the puzzle of the Seven Bridges of Königsberg, solved by Euler in 1726.  Except that it all takes place in a mad courtroom, and you are the jury!

### Mathapalooza After Dark!

Series
Other Talks
Time
Monday, March 16, 2020 - 19:00 for 2 hours
Location
Highland Ballroom, 644 North Highland Ave.
Speaker

### (Oral Exam) Mathematical Modeling and Analysis of Multidimensional Data

Series
Other Talks
Time
Tuesday, April 30, 2019 - 13:00 for 1.5 hours (actually 80 minutes)
Location
Skiles 005
Speaker
Yuchen Roy He GT Math

Multidimensional data is ubiquitous in the application, e.g., images and videos. I will introduce some of my previous and current works related to this topic.
1) Lattice metric space and its applications. Lattice and superlattice patterns are found in material sciences, nonlinear optics and sampling designs. We propose a lattice metric space based on modular group theory and
metric geometry, which provides a visually consistent measure of dissimilarity among lattice patterns.  We apply this framework to superlattice separation and grain defect detection.
2) We briefly introduce two current projects. First, we propose new algorithms for automatic PDE modeling, which drastically improves the efficiency and the robustness against additive noise. Second, we introduce a new model for surface reconstruction from point cloud data (PCD) and provide an ADMM type fast algorithm.