• Associate Professor, Mechanical Engineering
  • Sallie and Don Davis '61 Faculty Fellow
Douglas Allaire

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

    • Multidisciplinary design optimization
    • Bayesian optimization
    • Multifidelity methods
    • Uncertainty quantification
    • Machine learning
    • Design of materials
    • Predictive and prescriptive analytics

Awards & Honors

  • 2023 American Institute of Aeronautics and Astronautics (AIAA) Associate Fellow
  • 2018 ASME CIE Young Engineer Award
  • 2018 ASME DAC Best Paper Award
  • 2017 Dean of Engineering Excellence Award
  • 2017 James J. Cain Graduate Teaching Award

Selected Publications

  • Khatamsaz, D., Peddareddygari, L., Friedman, S., and Allaire, D., “Bayesian Optimization of Multi Objective Functions Using Multiple Information Sources,” AIAA Journal, 59(6), 2021.
  • Khatamsaz, D., Molkeri, A., Couperthwaite, R., James, J., Arroyave, R., Allaire, D., and Srivastava, A., “Efficiently Exploiting Process-Structure-Property Relationships in Material Design by Multi-Information Source Fusion,” Acta Materialia, 206:116619, 2021.
  • Zhang, G., Allaire, D., and Cagan, J., “Taking the Guess Work Out of the Initial Guess: A Solution Interval Method for Least Squares Parameter Estimation in Nonlinear Models,” (ASME) Journal of Computing and Information Science in Engineering, 21(2):021011, 2021.
  • Burrows, B. and Allaire, D., “Nonlinear Kalman filtering via measure change,” American Society of Mechanical Engineers (ASME) Journal of Dynamic Systems, Measurement, and Control 142(2):021006, 2020.
  • Couperthwaite, R., Molkeri, A., Khatamsaz, D., Srivastava, A., Allaire, D., and Arroyave, R., “Materials Design through Batch Bayesian Optimization with Multisource Information Fusion, JOM, 72:4431-4443, 2020.