PhD Proposal by Raphaël Gautier

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Event Details
  • Date/Time:
    • Monday November 11, 2019 - Tuesday November 12, 2019
      12:00 pm - 1:59 pm
  • Location: Collaborative Visualization Environment (CoVE) Weber Space Science and Technology Building (SST II)
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: A Fully-Bayesian Gradient-Free Approach to Active Subspace for Surrogate Modeling of Computationally-Expensive Codes with High-Dimensional Inputs

Full Summary: No summary paragraph submitted.

Raphaël Gautier
(Advisor: Prof. Dimitri Mavris)

will propose a doctoral thesis entitled,

A Fully-Bayesian Gradient-Free Approach to Active Subspace for Surrogate Modeling of Computationally-Expensive Codes with High-Dimensional Inputs

On

Monday, November 11 at 12:00 p.m.
Collaborative Visualization Environment (CoVE)
Weber Space Science and Technology Building (SST II)

 

Committee

  • Prof. Dimitri Mavris – School of Aerospace Engineering (advisor)
  • Prof. Graeme Kennedy – School of Aerospace Engineering
  • Dr. Sayan Ghosh – Lead Engineer, GE Global Research

Additional Information

In Campus Calendar
No
Groups

Graduate Studies

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Other/Miscellaneous
Keywords
Phd proposal
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Oct 30, 2019 - 10:40am
  • Last Updated: Oct 30, 2019 - 10:40am