### TBA by Siddhi Krishna

- Series
- Research Horizons Seminar
- Time
- Friday, November 20, 2020 - 12:30 for 1 hour (actually 50 minutes)
- Location
- Microsoft Teams
- Speaker
- Siddhi Krishna – Georgia Tech – skrishna6@gatech.edu

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- Series
- Research Horizons Seminar
- Time
- Friday, November 20, 2020 - 12:30 for 1 hour (actually 50 minutes)
- Location
- Microsoft Teams
- Speaker
- Siddhi Krishna – Georgia Tech – skrishna6@gatech.edu

- Series
- Research Horizons Seminar
- Time
- Friday, November 6, 2020 - 12:30 for 1 hour (actually 50 minutes)
- Location
- Microsoft Teams
- Speaker
- Anton Bernshteyn – anton.bernshteyn@math.gatech.edu

- Series
- Research Horizons Seminar
- Time
- Friday, October 30, 2020 - 12:30 for 1 hour (actually 50 minutes)
- Location
- Microsoft Teams
- Speaker
- Galyna Livshyts – Georgia Tech – glivshyts6@math.gatech.edu

- Series
- Research Horizons Seminar
- Time
- Friday, October 23, 2020 - 12:30 for 1 hour (actually 50 minutes)
- Location
- Speaker
- Benjamin Jaye – Georgia Tech – bjaye3@gatech.edu

- Series
- Research Horizons Seminar
- Time
- Friday, October 16, 2020 - 12:30 for 1 hour (actually 50 minutes)
- Location
- Microsoft Teams
- Speaker
- Marissa Loving – Georgia Tech – mloving6@gatech.edu

- Series
- Research Horizons Seminar
- Time
- Friday, October 2, 2020 - 12:30 for 1 hour (actually 50 minutes)
- Location
- Microsoft Teams
- Speaker
- Cheng Mao – Georgia Tech – cheng.mao@math.gatech.edu

Learning latent structures in noisy data has been a central task in statistical and computational sciences. For applications such as ranking, matching and clustering, the structure of interest is non-convex and, furthermore, of combinatorial nature. This talk will be a gentle introduction to selected models and methods for statistical inference of such combinatorial structures. I will particularly discuss some of my recent research interests.

- Series
- Research Horizons Seminar
- Time
- Friday, September 25, 2020 - 12:30 for 1 hour (actually 50 minutes)
- Location
- Microsoft Teams
- Speaker
- Alex Blumenthal – Georgia Tech – ablumenthal6@gatech.edu

All around us in the physical world are systems which evolve in chaotic, seemingly random ways: fire, smoke, turbulent fluids, the flow of gas around us. Over the last ~60 years, mathematicians have made tremendous progress in understanding these processes and how chaotic behavior can emerge and, remarkably, the extent to which chaotic systems emulate probabilistic randomness. This talk is a brief introduction to these ideas, with an emphasis on examples and pretty pictures.

- Series
- Research Horizons Seminar
- Time
- Wednesday, March 4, 2020 - 12:20 for 1 hour (actually 50 minutes)
- Location
- Skiles 005
- Speaker
- Rafael de la Llave – Georgia Tech

We consider the problem whether small perturbations of integrable mechanical systems can have very large effects.

Since the work of Arnold in 1964, it is known that there are situations where the perturbations can accumulate (Arnold diffusion).

This can be understood by noting that the small perturbations generate some invariant objects in phase space that act as routes which allow accumulation of effects.

We will present some rigorous results about geometric objects lead to Arnold diffusion as well as some computational tools that allow to find them in concrete applications.

Thanks to the work of many people, an area which used to be very speculative, is becoming an applicable tool.

- Series
- Research Horizons Seminar
- Time
- Wednesday, November 20, 2019 - 12:20 for 1 hour (actually 50 minutes)
- Location
- Skiles 005
- Speaker
- Miriam Kuzbary

Determining when two objects have “the same shape” is difficult; this difficulty depends on the dimension we are working in. While many of the same techniques work to study things in dimensions 5 and higher, we can better understand dimensions 1, 2, and 3 using other methods. We can think of 4-dimensional space as the “bridge” between low-dimensional behavior and high-dimensional behavior.

One way to understand the possibilities in each dimension is to examine objects called cobordisms: if an (n+1)-dimensional space has an ``edge,” which is called a boundary, then that boundary is itself an n-dimensional space. We say that two n-dimensional spaces are cobordant if together they form the boundary of an (n+1)-dimensional space. Using the idea of spaces related by cobordism, we can form an algebraic structure called a group. In this way, we can attempt to understand higher dimensions using clues from lower dimensions.

In this talk, I will discuss different types of cobordism groups and how to study them using tools from a broad range of mathematical areas.

- Series
- Research Horizons Seminar
- Time
- Wednesday, November 13, 2019 - 12:20 for 1 hour (actually 50 minutes)
- Location
- Skiles 005
- Speaker
- Sung Ha Kang – Georgia Tech

Starting from mathematical approaches for image processing, we will discuss different models, analytic aspects of them, and numerical challenges. If time permits we will consider numerical applications to data understanding. A few other applications may be presented.

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