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KI-Net Conference Announcement

Dimension reduction in physical and data sciences

Apr 1 - 3, 2019

Department of Mathematics, Duke University
Duke University

Duke Visitor Guide



CONFERENCE SCHEDULE




CONFERENCE LECTURES



ABSTRACT

The meeting will focus on dimension reduction techniques in physical and data sciences. Themes including

1. Practical schemes for dimensional reduction in dynamical systems; 

2. Dimension reduction based on randomization and compressed sensing; 

3. Emerging techniques for high dimensional problems based on dimension reduction.

Mornings will be devoted to talks and the afternoons to discussions / collaborations.

 

 

REGISTRATION REQUESTED

Invited participants can RSVP and provide the additional requested information about their stay, including the title and abstract of proposed talks, here.

Applications for participation can be made through the Online Application. Applicants who are also interested in making a poster presentation can specify their preference to do so in the “comments section” of their application. Due to space limitations, these requests are subject to approval by the organizers.

ORGANIZERS

NameAffiliationEmail
Jianfeng LuDuke University, Mathematics Departmentjianfeng@math.duke.edu

CONFIRMED PARTICIPANTS

NameAffiliation
Radu BalanUniversity of Maryland
Massimo FornasierTechnische Universität München
Jiequn HanPrinceton University
C. Dave LevermoreUniversity of Maryland
Xiantao LiPenn State University
Jianfeng LuDuke University
Fei LuJohns Hopkins University
Mauro MaggioniJohns Hopkins University
Jonathan MattinglyDuke University
Kevin McGoffUniversity of North Carolina, Charlotte
Sayan MukherjeeDuke University
Luc Rey-BelletUniversity of Massachusetts, Amherst
Eric Vanden-EijndenNew York University


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

Duke Visitor Guide

Department of Mathematics, Duke University (Duke)
Science Drive, Duke University, Durham, NC 27708
Durham, NC

Email: jianfeng@math.duke.edu

ACKNOWLEDGMENT

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