Douglas Allaire
Scholar

Douglas Allaire

Google Scholar ID: R8rmCvUAAAAJ
Associate Professor, Texas A&M University
optimizationuncertainty quantificationmultifidelity methodsmachine learning
Citations & Impact
All-time
Citations
1,778
 
H-index
27
 
i10-index
55
 
Publications
20
 
Co-authors
24
list available
Resume (English only)
Academic Achievements
  • ASEM Fellow (2024), American Institute of Aeronautics and Astronautics (AIAA) Associate Fellow (2023), ASME CIE Young Engineer Award (2018), ASME DAC Best Paper Award (2018), Dean of Engineering Excellence Award (2017), James J. Cain Graduate Teaching Award (2017). Published multiple papers in journals such as AIAA Journal, Acta Materialia, etc.
Research Experience
  • Associate Professor in the Department of Mechanical Engineering at Texas A&M University, Sallie and Don Davis '61 Faculty Fellow, Affiliated Faculty in Multidisciplinary Engineering.
Education
  • Ph.D. in Aerospace Engineering from Massachusetts Institute of Technology (2009); M.S. in Aerospace Engineering from Massachusetts Institute of Technology (2006); B.S. in Aerospace Engineering from Massachusetts Institute of Technology (2004).
Background
  • Research interests include multidisciplinary design optimization, Bayesian optimization, multifidelity methods, uncertainty quantification, machine learning, design of materials, and predictive and prescriptive analytics.