Douglas Allaire

Assistant Professor Douglas Allaire

Assistant Professor
Douglas Allaire

  • Courses5
  • Reviews8
  • School: Texas A&M University
  • Campus: College Station
  • Department: Mechanical Engineering
  • Email address: Join to see
  • Phone: Join to see
  • Location: Office: MEOB 425
    College Station, TX
  • Dates at Texas A&M University: December 2015 - December 2019
  • Office Hours: Join to see
Oct 24, 2019
N/A
Textbook used: No
Would take again: No
For Credit: Yes

0
0






Difficulty
Clarity
Helpfulness

Awful

Professor Allaire's class is very easy and he only teaches the very super basics of optimization. I do not recommended for grad students to take at all.

Oct 22, 2019
N/A
Textbook used: No
Would take again: No
For Credit: Yes

0
0






Difficulty
Clarity
Helpfulness

Awful

Professor Allaire's class was useless but very easy. It should be an undergraduate level course not a graduate one.

Oct 12, 2019
N/A
Textbook used: No
Would take again: No
For Credit: Yes

0
0


Not Mandatory



Difficulty
Clarity
Helpfulness

Awful

You could find the content online from a couple of sources, and the assignments were really easy. You don't learn a lot here.

Biography

Texas A&M University College Station - Mechanical Engineering


Educational Background

Ph.D, Aerospace Engineering Massachusetts Institute of Technology, 2009
M.S., Aerospace Engineering Massachusetts Institute of Technology, 2006
B.S., Aerospace Engineering Massachusetts Institute of Technology, 2004

Research Interests

Douglas Allaire holds SB, SM, and Ph.D. degrees from the Department of Aeronautics and Astronautics at MIT. His current research focuses on the development of computational methods for the analysis, design, and operation of complex systems. He is specifically interested in aspects of uncertainty quantification, multidisciplinary design optimization, and compositional methods for simulation-based design. He is currently working on projects involving the development of computational methods for enabling self-aware unmanned aerial vehicles, the development of optimal algorithms for multi-information source management in design, and the development of methods for enabling correct-by-construction model-based design processes.


Resume

  • 2000

    S.B.

    S.M

    Ph.D.

    Aerospace Engineering

    Massachusetts Institute of Technology

  • Numerical Analysis

    LaTeX

    Engineering

    Algorithms

    Mathematical Modeling

    Bayesian statistics

    Optimization

    Computational Mathematics

    Statistics

    Finite Element Analysis

    Matlab

    Simulations

    Data Analysis

    Probability

    Uncertainty Quantification

    Allaire

    Allaire

    Massachusetts Institute of Technology (MIT)

    Texas A&M University

    Texas A&M University

    Massachusetts Institute of Technology (MIT)

    Cambridge

    MA

    Research Scientist

MEEN 689

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