Our Annual Meeting is an opportunity to:

  • celebrate the achievements of the preceding summer
  • celebrate the beginning of the new academic year;
  • meet new members of the GGAM community;
  • catch up with old friends; etc.

This year's meeting, scheduled for Wednesday, October 18, will feature a 50-minute talk by Professor Peter J. Mucha (visiting from UNC, Chapel Hill); a 25-minute talk by new Math department faculty member and new GGAM member, Dr. Shiqian Ma; an opportunity for 5-minute lightning talks and announcements; and a reception.

4:10 pm (1147 MSB)

Communities in Multilayer Networks with CHAMP

Peter J. Mucha (The University of North Carolina at Chapel Hill)

Community detection describes the organization of a network in terms of patterns of connection, identifying tightly connected structures known as communities. A wide variety of methods for community detection have been proposed, with a number of software packages available for performing community detection. In the past decade, there has been increased interest in networks with multiple types of relationships, that change in time, or that network together multiple kinds of networks. With this emphasis on "multilayer networks", new methods and generalizations of existing methods have been developed for performing community detection in these settings. We discuss a variety of recent developments for community detection in multilayer networks, focusing particular attention on the CHAMP algorithm for post-processing partitions to identify the convex hull of admissible modularity partitions and explore the parameter space of multilayer modularity.


5:10 pm (1147 MSB)

Optimization Methods in Data Science

Shiqian Ma (UC Davis, Department of Mathematics)

In this talk, I will give a brief introduction of my research on numerical optimization algorithms. I will focus on alternating direction method of multipliers and stochastic algorithms, which have been widely studied and used in machine learning and some other fields. Several interesting applications will also be discussed to illustrate how optimization plays an important role in addressing problems in data science.


5:40pm (1147 MSB)

Lightning talks and announcements


followed by (MSB First Floor Lobby)

Reception