Friday, March 7, 2014
217 Perkins Library - 11:00 a.m.
Peter Mucha, PhD
Bowman and Gordon Gray Professor of Mathematics, Department of Mathematics and
Chair, Applied Physical Sciences, University of North Carolina at Chapel Hill
Using data from roll call voting in Congress as a motivating example, we discuss various concepts of community detection in networks, including network representations of implied connections, modularity optimization, and multislice community detection for temporal network data.
After a childhood spent mostly in Minnesota, Dr. Mucha moved east to attend college at Cornell University where he majored in Engineering Physics. He then took a Churchill Scholarship to study in the Cavendish Laboratory at Cambridge with an M.Phil. in Physics. Returning to the States, Dr. Mucha continued his studies at Princeton, leading to an M.A. and Ph.D. in Applied and Computational Mathematics. Following a postdoctoral instructorship in applied mathematics at MIT, and a tenure-track assistant professorship in Mathematics at Georgia Tech, he moved to Chapel Hill to join the Department of Mathematics and the Institute for Advanced Materials, Nanoscience and Technology (now folded into the new Department of Applied Physical Sciences) at the University of North Carolina at Chapel Hill.