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KI-Net Conference Announcement

Transport Models for Collective Dynamics in Biological Systems

Jan 15 - 18, 2013

North Carolina State University
Department of Mathematics

Visitor Guide



The emergence of collective dynamics is a fascinating phenomenon which arises in different context of biological systems. Many such systems are modeled by transport equations such as Keller-Segel-based models for chemotactic phenomenon and Cucker-Smale model for flocking. Due to the complexity of these phenomena, transport equations might contain new mathematical difficulties (e.g non-conservative system, non-hypberbolic PDE) with many open questions for both numerical and analytical studies. Moreover, many of these biological systems are multiscale phenomenon (e.g. from individual cells to functional organs) leading to both microscopic and macroscopic descriptions. Kinetic equations play a key role in linking these scales.


This workshop aims at bringing together researchers with diverse expertise on collective dynamics in biological systems, from experimental biologists to applied mathematicians. Our goal is to stimulate interdisciplinary discussions on new developments, with a particular focus on comparing models, experimental data and numerical studies. A second line of discussions focuses on the new mathematical challenges raised by these models, e.g. link between micro and macro descriptions, complex traffic optimization and pattern formation.



Alina ChertockNorth Carolina State University, Department of
Sébastien MotschUniversity of Maryland,
Benoît PerthameUniversité Pierre et Marie Curie, Laboratoire J.-L.
Eitan TadmorUniversity of Maryland, CSCAMM, Department of Mathematics &


Thomas BanksNorth Carolina State University
Eshel Ben-JacobTel Aviv University
Nathanial BurchNorth Carolina State University
David CaiShanghai Jiao Tong University
Zhan ChenUniversity of Minnesota
Alina ChertockNorth Carolina State University
Pierre DegondCNRS and University Paul Sabatier
Marco Di FrancescoUniversity of Bath
Jeff EisenbeisCarnegie Mellon University
Yekaterina EpshteynUniversity of Utah
Francis FilbetUniversité Claude Bernard de Lyon
Simon GarnierPrinceton University
Judith HempelDuke University
Pierre-Emmanuel JabinUniversity of Maryland
Alexander KurganovTulane University
Qin LiUniversity of Wisconsin-Madison
Jian-Guo LiuDuke University
Hailiang LiuIowa State University
Yuan LouThe Ohio State University
Peter A. MarkowichUniversity of Cambridge
Nader MasmoudiNew York University
Christian MazzaUniversité de Fribourg
Sébastien MotschUniversity of Maryland
Hans G. OthmerUniversity of Minnesota
Benoît PerthameUniversité Pierre et Marie Curie
Thomas ReyUniversity of Maryland
Nancy RodriguezStanford University
Adi ShklarshTel Aviv University
Robert L. SimioneCarnegie Mellon University
Eitan TadmorUniversity of Maryland
Min TangShanghai Jiao Tong University
Mohamed L. TayebFaculty of sciences of Tunis
Ilya TimofeyevUniversity of Houston
Magali TournusLaboratoire Jacques Louis Lions
Qi WangUniversity of South Carolina
Lijiang WuCarnegie Mellon University
Yao YaoUniversity of Wisconsin-Madison
Hui YuIowa State University
Jia ZhaoUniversity of South Carolina
Zhennan ZhouUniversity of Wisconsin-Madison


A limited amount of travel and local lodging is available for researchers in the early stages of their career who want to attend the full program, especially for graduate students and post-doctoral fellows.


Visitor Guide

Department of Mathematics
SAS Hall, 2311 Stinson Drive, Room 4201
North Carolina State University
Raleigh, NC




Funding provided by the NSF through the KI-net Grant. Additional support was provided by the Center for Research in Scientific Computing, the Center for Quantitative Sciences in Biomedicine and the Department of Mathematics at the North Carolina State University