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KI-Net Conference Announcement

Groups and interactions in data, networks and biology
Jointly sponsored by the Ki-Net and the Center for Nonlinear Analysis

May 27 - 29, 2015

Carnegie Mellon University
Department of Mathematical Sciences

Visitor Guide




Individuals and agents in many systems spontaneously organize to form structures such as flocks, swarms, and clusters. Investigating the principles that govern the formation and behavior of large groups in natural systems requires understanding the  structure of clusters, their connectivity, how their identities develop, and how information propagates. Similar goals are also important in statistics and machine learning for understanding massive clouds of high-dimensional data, where one relies on properties of graphs encoding data similarity. Likewise connectivity and structure play an important role in studies of network dynamics.


The goal of this workshop is to facilitate an exchange of ideas and methods among researchers from several disciplines studying groups, their structure and dynamics.   



Robert PegoCarnegie Mellon University, Department of Mathematical
Dejan SlepcevCarnegie Mellon University, Department of Mathematical
Eitan TadmorUniversity of Maryland,


Mikhail BelkinOhio State University
Andrea BertozziUniversity of California, Los Angeles
Alfred M. BrucksteinTechnion - Israel Institute of Technology
David BursteinUniversity of Pittsburgh
Jose E. ChaconUniversidad de Extremadura
Jianhong ChenThe Pennsylvania State University, University Park
David ChoiCarnegie Mellon University
Mihai CucuringuUCLA
Elisa DavoliCarnegie Mellon University
Moussa DoumbiaHoward University
Yuanyuan FengCarnegie Mellon University
Irene FonsecaCarnegie Mellon University
Nicolas Garcia TrillosBrown University
Adrian Gordillo MerinoUniversity of Extremadura (Spain)
Jim GreenbergCarnegie Mellon University
Slav KirovCarnegie Mellon University
giovanni leoniCarnegie Mellon University
Stacey E. LevineDuquesne University
Wenjing LiaoJohns Hopkins University
Jian-Guo LiuDuke University
Jing LiuCarnegie Mellon University
Jianfeng LuDuke University
Xiyang LuoUCLA
Mauro MaggioniDuke University
Georgi MedvedevDrexel University
Mojgan MirzaieUniversity of Illinois at Chicago
Cristopher MooreSanta Fe Institute
Ryan MurrayCarnegie Mellon University
Robert PegoCarnegie Mellon University
Mason PorterUniversity of Oxford
Nastassia Pouradier DuteilRutgers University (Camden)
Predrag PunosevacCarnegie Mellon University
Aaditya RamdasCMU
Ananya Renuka BalakrishnaUniversity of Oxford
Matteo RinaldiCarnegie Mellon University
Alessandro RinaldoCarnegie Mellon University
Jonathan RubinUniversity of Pittsburgh
Shawn D. RyanKent State University
Augusto SantosCarnegie Mellon University
Amit SingerPrinceton University
Dejan SlepcevCarnegie Mellon University
Luyu SunUniversity of Maryland
Eitan TadmorUniversity of Maryland
Changhui TanRice University
Florian TheilUniversity of Warwick
Matthew ThorpeUniversity of Warwick
Samuel L. VenturaCarnegie Mellon University
Stefano VigognaDuke University
James H. von BrechtCalifornia State University - Long Beach
Noel Walkingtoncmu
Larry WassermanCarnegie Mellon University
Xiang XuPurdue University
Anil ZenginogluUniversity of Maryland
June ZhangCarnegie Mellon 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.


Visitor Guide

Department of Mathematical Sciences
5000 Forbes Avenue
Carnegie Mellon University
Pittsburgh, PA




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