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KI-Net Conference Announcement

Mixing and Mixtures in Geo- and Biophysical Flows: A Focus on Mathematical Theory and Numerical Methods

May 23 - 27, 2016

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

CSCAMM,UMd Visitor Guide




New environmental issues call for a better understanding of numerous complex and highly heterogeneous behaviors in Geo- and Biophysical Flows, such as mixtures for granular media and for breaking waves, mixing in turbulence or other high Reynolds number regimes and under internal gravity waves.
These challenges have inspired mathematicians to formalize new questions in Fluid Mechanics. The solution of these questions requires new mathematical tools, either theoretical, or numerical while maintaining close links with the theory.
This workshop focuses on several critical and recent advances furthering our understanding of interactions between small and macroscopic scales (through mixing in particular) and of several co-existing velocities in a fluid (mixtures, compressible flows, etc.). 
The conference is supported by the NSF through KI-Net and by the Department of Mathematics at UMD.


This workshop has a dual goal of targeting researchers at an early stage of their career through mini-courses and bringing together a group of experts in Applied Mathematics and Mathematical Physics. The two mini-courses include:

Activated fluids: continuum description, analysis and computational results
Josef Málek, Charles University in Prague

Mixing and dissipation in fluid
Jacob Bedrossian, University of Maryland

The focus of discussion is on current developments in analysis and numerical simulation of equations that govern the dynamics of complex fluid systems.




Jacob BedrossianUniversity of Maryland, CSCAMM and Department of
Didier BreschSavoie Mont-Blanc University, Department of
Pierre-Emmanuel JabinUniversity of Maryland, Department of Mathematics and
Konstantina TrivisaUniversity of Maryland, Department of


Sona AkopianUniversity of Texas at Austin
David AmbroseDrexel University
Jacob BedrossianUniversity of Maryland
Didier BreschSavoie Mont-Blanc University
Michele Coti ZelatiUniversity of Maryland
Gianluca CrippaUniversity of Basel
David Gerard-VaretParis Diderot University
Siming HeDuke University
Matthieu HillairetUniversity of Montpellier
Pierre-Emmanuel JabinUniversity of Maryland
Adam JaneckaCharles University in Prague
Injee JeongPrinceton University
Moon-Jin KangUniversity of Texas at Austin
Sam G. KrupaUniversity of Texas at Austin
Joonhyun LaPrinceton University
David LannesIMB Bordeaux
Josef MálekCharles University in Prague
Debanjana MitraVirginia Tech
Julien OlivierAix-Marseille University
Charles ParkerUniversity of Maryland
Charlotte PerrinSavoie Mont Blanc University
Michael RenardyVirginia Tech
Beniada ShabaniStanford University
Changhui TanUniversity of South Carolina
Giordano TierraTemple University
Minh Binh TranUniversity of Wisconsin-Madison
Konstantina TrivisaUniversity of Maryland
Vlad VicolPrinceton University
Jean-Paul VilaINSA Toulouse
Zhenfu WangUniversity of Pennsylvania
Cheng YuUniversity of Texas at Austin
Ewelina ZatorskaUniversity College London
Christian ZillingerUniversity of Bonn
Andrej ZlatošUniversity 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.


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.