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IEEE CIS/SPS Lecture by Dr. Tegan Emerson “Learning from the Shape of Data: Computational Topology for Complex Network Analysis”

April 26, 2018 @ 6:30 PM - 8:00 PM

Co-sponsored by: IEEE Computational Intelligence Northern Virginia Chapter (Joel Goodman | George Stantchev) and IEEE Signal Processing Washington Chapter (Min Wu)

In the fourth installment of this season’s lecture series, we are delighted to feature a talk by Dr. Tegan Emarson, Research Mathematician and Karle Fellow at the Naval Research Laboratory (NRL), Washington DC

Abstract:

The human brain, and many other complex structures, can be studied using networks. One can define the nodes and edges of the graph in a multitude of ways. These networks can then be studied using ideas from computational topology: a set of algorithmic methods that characterize topological invariants such as connectedness, loops, or holes in high-dimensional data structures. These methods go beyond pairwise connections and enable one to understand global low-dimensional structures in networks, which is difficult for existing methods. In particular, persistent homology, a method that consists of a mathematical formalism to explore the persistence of such structures, has led to promising results in many applications including dynamical systems, neuronal networks, and others. Persistence Images are a stable vector representation of homological features identified from persistent homology. Persistence images can detect differences between networks associated to different classes more strongly than other representations of homological information in many settings. An introduction to homology and topological data analysis will be followed by several examples of applications of persistent homology. The applications portion of the talk will focus primarily on the use of topological techniques for revealing discriminatory structure in functional networks of brain activity of schizophrenics, their asymptomatic siblings, and healthy controls. 

 

Speaker(s): Dr. Tegan Emerson,

Agenda:

6:30 – 7:00pm Check In/Networking; Light dinner with pizza and refreshments

7 – 7:50pm Lecture

7:50 – 8:10 Q&A + Networking

If arriving by car, feel free to use parking lot 11b, which is open for general access after 4pm. If arriving by Metro, free shuttle service is available from the College Park station to campus.

Location:
Room: 2460
Bldg: A.V. Williams
University of Maryland
College Park, Maryland
20814

Details

Date:
April 26, 2018
Time:
6:30 PM - 8:00 PM
Website:
http://events.vtools.ieee.org/m/171857

Organizer

[email protected]