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KI-Net Conference Announcement

Young Researchers Workshop:
Kinetic and macroscopic models for complex systems

Oct 14 - 18, 2013

Ctr for Scientific Computation & Math. Modeling, UMd
University of Maryland, College Park

CSCAMM,UMd Visitor Guide




Complex systems have emerged as a dominant topic in modern science. From animal behaviors to social networks, the impact of complex systems are noticeable on a daily basis. New mathematical models have been developed to apprehend those phenomena. For instance, kinetic models constitute a valuable resource to model complex systems with detailed interactions. On the other hand, macroscopic models focus on the evolution of average quantities which offer a better understanding of systems at larger scales. Both approaches provide new mathematical difficulty (e.g. pattern formation, stability analysis, numerical validation) and ultimately challenge our understanding of complex systems.


This workshop is targeting primarily researchers at an early stage of their career. It will focus on recent developments in the modeling and simulation of multiscale phenomena in complaex systems via kinetic models. These include analytic techniques for the passage from particle systems to macroscopic descriptions and computational methods for multiscale problems in a variety of areas, ranging from transport phenomena in biology, through diffusion limits in material science to self-organized hydrodyanmics. 



Stephan MartinImperial College London, Department of
Sébastien MotschArizona State University, School of Mathematical & Statistical
Thomas ReyUniversity of Maryland,
Changhui TanUniversity of Maryland,


Ricardo J. AlonsoRice University
Daniel BalaguéNorth Carolina State University
Jacob BedrossianNew York University
Raul BorscheTechnische Universität Kaiserslautern
Maria BrunaUniversity of Oxford
Keith BurghardtUniversity Of Maryland
Yongyong CaiPurdue University
José Alfredo CañizoUniversity of Birmingham
David DarmonUniversity of Maryland
Matias G. DelgadinoUniversity of Maryland
Yuval ErezWeizmann Institute of Science
Simon GarnierNJIT and Rutgers University
Jeff HaackThe University of Texas at Austin
Yongki LeeIowa State University
Qin LiCalifornia Institute of Technology
Stephan MartinImperial College London
Tran Minh-BinhBasque Center for Applied Mathematics (BCAM)
Krithika MohanJohns Hopkins University
Jose A. Morales EscalanteThe University of Texas at Austin
Sébastien MotschArizona State University
Anamika PandeyTU Kaiserslautern
Terrance PendletonIowa State University
Diane PeurichardUniversité Paul Sabatier
Samuel Punshon-SmithUniversity of Maryland
Amélie RambaudUniversidad del Bío-Bío
Thomas ReyUniversity of Maryland
Nancy RodriguezStanford University
Jesús Rosado LinaresUniversity of California, Los Angeles
Sarthok SircarUniversity of Colorado, Boulder
Weiran SunSimon Fraser University
Eitan TadmorUniversity of Maryland
Changhui TanUniversity of Maryland
Li WangUniversity of California, Los Angeles
Yao YaoUniversity of Wisconsin-Madison
Jia ZhaoUniversity of South Carolina
Zhennan ZhouDuke University


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.


CSCAMM,UMd Visitor Guide

Ctr for Scientific Computation & Math. Modeling, UMd (CSCAMM,UMd)
4146 CSIC, Bldg 406, Paint Branch Drive
College Park, MD




Funding provided by the NSF through the KI-net Grant.