CMX is a research group aimed at the development and analysis of novel algorithmic ideas underlying emerging applications in the physical, biological, social and information sciences.  We are distinguished by a shared value system built on the development of foundational mathematical understanding, and the deployment of this understanding to impact on emerging key scientific and technological challenges.


Faculty

Venkat Chandrasekaran
Mathieu Desbrun
Thomas Hou
Houman Owhadi
Peter Schröder
Andrew Stuart
Joel Tropp

Von Karman
Instructors

Franca Hoffmann
Ka Chun Lam

Postdoctoral
Researchers

Alfredo Garbuno-Inigo
Bamdad Hosseini
Pengfei Liu
Krithika Manohar
Melike Sirlanci

Grad Students

Max Budninskiy
Utkan Candogan
JiaJie Chen
De Huang
Nikola Kovachki
Matt Levine
Riley Murray
Florian Schaefer
Yong Shen Soh
Yousuf Soliman
Armeen Taeb
Gene R. Yoo
Shumao Zhang

Lunch Seminars

(Will be held at 12 noon in Annenberg 213, unless otherwise specified.)


January 16, 2109
Krithika Manohar
topic tba

January 23, 2019
topic tba


January 30, 2019
Oscar Bruno
topic tba

February 20, 2019
topic tba


February 27, 2019
Tapio Schneider
topic tba

Other Events


December 13, 2018
• CMX Special Seminar •

Annenberg 213
4:30pm

Lisa Maria Kreusser
An Anisotropic Interaction Model for Simulating Fingerprints ▦

     Motivated by the formation of fingerprint patterns we consider a class of interaction models with short-range repulsive, long-range attractive forces whose orientations depend on an underlying stress field. This stress field introduces an anisotropy leading to complex patterns which do not occur in the associated isotropic models. The transition between the isotropic and the anisotropic model can be characterized by one of the model parameters and we study the variation of this parameter both analytically and numerically. We analyze the steady states and their stability by considering the particle model and the associated mean-field equations. Besides, we propose a bio-inspired model to simulate fingerprint patterns as stationary solutions by choosing the underlying tensor field appropriately.





Past Events

Lunch Seminars Other Seminars Meetings & Workshops