• Assistant Professor
  • 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

  • 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.

Awards & Honors

  • Dean of Engineering Excellence Award, 2017
  • James J. Cain Graduate Teaching Award, 2017

Selected Publications

  • Ghoreishi, S.F., and Allaire, D., “Adaptive uncertainty propagation for coupled multidisciplinary systems,” American Institute of Aeronautics and Astronautics (AIAA) Journal, to appear, 2017.
  • Ulker, F., Allaire, D., and Willcox, K., “Sensitivity-guided decision-making for wind farm micro-siting,” International Journal for Numerical Methods in Fluids, 83(1): 57-72, 2017.
  • Amaral, S., Allaire, D., and Willcox, K., “Optimal L2-norm empirical importance weights for the change of probability measure,” Statistics and Computing, 1-19, 2016.
  • Opgenoord, M., Allaire, D., and Willcox, K., “Variance-based sensitivity analysis to support simulation-based design under uncertainty,” American Society of Mechanical Engineers (ASME) Journal of Mechanical Design, 138(11): 111410-111421, 2016.
  • Lecerf, M., Allaire, D., and Willcox, K., “Methodology for dynamic data-driven online flight capability estimation,” American Institute of Aeronautics and Astronautics (AIAA) Journal, 53(10):3073-3087, 2015.