SIAM Conference on Computational Science and Engineering (CSE25)

Registration

Early Registration Rate will end on February 6, 2025

Upcoming Registration Dates

  • Early Registration Rate, through:

  • Standard Registration Rates, begin:

Registration Fees 
The following registration fees are subject to change. Fees are in USD.

 

Registration Fees

  • SIAG/CSE Member

    $545
    Early Registration Rate

    $645
    Standard Registration Rate

  • SIAM Member

    $560
    Early Registration Rate

    $660
    Standard Registration Rate

  • Non-Member

    $770
    Early Registration Rate

    $870
    Standard Registration Rate

    Non-members can bundle their conference registration with a 12-month SIAM membership ending December 31, 2025, at no additional cost. During the registration process, non-members selecting the Full Conference Registration Rate referencing claiming a membership will have a SIAM membership processed during registration. See here for SIAM membership benefits.

  • *SIAM Student, Member

    $155
    Early Registration Rate

    $185
    Standard Registration Rate

     

  • *Student, Non-Member

    $180
    Early Registration Rate

    $210
    Standard Registration Rate

    The student non-member rate includes a SIAM student membership. Questions regarding SIAM membership should be directed to membership@siam.org. 

    *Student registration is available for undergraduate and graduate students ONLY; this rate is not available to post-doctorates. All students must be prepared to show a current student ID at the SIAM registration desk.

  • One-day

    $385
    Early Registration Rate

    $435
    Standard Registration Rate

Registration includes

Admission to all IMR sessions

Admission to all technical sessions

Business meeting

Coffee breaks daily

Exhibit Hall Admission

Poster Session

Welcome Reception

About SIAM Conferences

SIAM conferences are a place to learn about timely topics in the mathematical sciences and be part of a community exchanging ideas and expanding their networks across academia, industry, government, and labs.

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