Skip to main content
King Abdullah University of Science and Technology
Computer, Electrical and Mathematical Sciences and Engineering
Computer, Electrical and Mathematical Sciences and Engineering
  • Home
  • Study
    • Prospective Students
    • Current Students
    • Internship Opportunities
  • Research
    • Research Overview
    • Research Areas
    • Research Groups
  • Programs
    • Applied Mathematics and Computational Science
    • Computer Science
    • Electrical and Computer Engineering
    • Statistics
  • People
    • All People
    • Faculty
    • Affiliate Faculty
    • Instructional Faculty
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Administrative Staff
  • News
  • Events
  • About
    • Who We Are
    • Leadership Team
  • Apply

Breadcrumb

  1. Home
  2. Profiles
  3. Quan Long

Quan Long

About Quan Long

Quan Long

  • Research Scientist (former), Stochastic Numerics Research Group

uncertainty quantification

Quan Long worked as a Research Scientist at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Quan obtained his Ph.D. degree in computational structural mechanics from CSMLab at Cambridge University, where his research focused on isogeometric analysis using subdivision techniques and its applications in large structural deformations, nematic elastomers, and dynamic fractures. During his postdoctoral research, he extended his interests from deterministic problems to stochastic problems, for example, Bayesian

Projects

Related Projects

2012

  • Bayesian Calibration, Validation and Uncertainty Quantification of Subsurface flow models

    Tue, Jun 5 2012 - Sun, Jun 1 2014
    In this project, we address the mathematical modeling, numerical simulation, and uncertainty quantification of multiphase flow in porous media with a special emphasis on CO2 storage in geological formations.

Related Sites

  • Stochastic Numerics Research Group (STOCHNUM)
  • Applied Mathematics and Computational Science (AMCS)

Related Content

  • Articles
    6
  • Projects
    1

Related Links

  • LinkedIn Profile

Apply for postgraduate study

Start your application

Are you Quan Long?

Login to edit your profile.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

Connect with us

Footer

  • A-Z Directory
    • All Content
    • Announcements
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice

Disclaimer: The views and opinions expressed in this page are strictly those of the page author.