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KI-Net Conference Announcement

Modeling, analysis, computation and application of kinetic equations

Feb 5 - 6, 2016

Division of Applied Mathematics, Brown
Brown University

Brown Visitor Guide


CONFERENCE SCHEDULE



CONFERENCE LECTURES

ABSTRACT

This miniworkshop and associated intensive research interaction week consist of two parts: the intensive research discussions of senior and junior visitors and local members, and the workshop itself which will last for one and half days with talks given by senior and junior participants on the modeling, analysis, computation and application of kinetic problems.

GOALS

This activity will enhance research collaborations of visitors and local members of KI-Net on the modeling, analysis, computation and application of kinetic problems.

REGISTRATION CLOSED

ORGANIZERS

NameAffiliationEmail
Yan GuoBrown University, Division of Applied MathematicsYan_Guo@Brown.edu
Govind MenonBrown University, Division of Applied Mathematicsmenon@dam.brown.edu
Chi-Wang ShuBrown University, Division of Applied Mathematicsshu@dam.brown.edu

CONFIRMED PARTICIPANTS

NameAffiliation
Olivier BokanowskiUniversity Paris 7
José A. CarrilloImperial College London
Yingda ChengMichigan State University
Francis FilbetPaul Sabatier University, Toulouse III
Yan GuoBrown University
Yi JiangIowa State University
David C. KasparBrown University
Hailiang LiuIowa State University
Govind MenonBrown University
Chi-Wang ShuBrown University
Nicolas G. TrillosBrown University
Alexis F. VasseurUniversity of Texas at Austin
Lei WuCarnegie Mellon University
Bokai YanUniversity of California, Los Angeles
Yao YaoGeorgia Tech
Xinghui ZhongUniversity of Utah


FUNDING

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.

INFORMATION FOR PARTICIPANTS

Brown Visitor Guide

Division of Applied Mathematics, Brown (Brown)
135 Woodbury Street, Box F
Providence, RI

Email: shu@dam.brown.edu

ACKNOWLEDGMENT

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