• 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; multi-information source optimization; uncertainty quantification; machine learning; design of materials; computational science and engineering; predictive and prescriptive analytics.

Awards & Honors

  • 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

  • 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.
  • McAdams, D., Zhang*, G., Morris, E., and Allaire, D., “Research Opportunities and Challenges in Engineering System Evolution,” American Society of Mechanical Engineers (ASME) Journal of Mechanical Design, pp. 1-75, 2020.
  • McAdams, D., Zhang*, G., Morris, E., and Allaire, D., “Research Opportunities and Challenges in Engineering System Evolution,” American Society of Mechanical Engineers (ASME) Journal of Mechanical Design, pp. 1-75, 2020.
  • Ghoreishi, S.F., Molkeri, A., Arroyave, R., Allaire, D., and Srivastava, A., “Efficient Use of Multiple Information Sources in Material Design,” Acta Materialia, 180: 260-271, 2019.
  • Ghoreishi, S.F., Friedman, S., and Allaire, D., “Adaptive dimensionality reduction for fast sequential optimization with Gaussian processes,” American Society of Mechanical Engineers (ASME) Journal of Mechanical Design, 141(7):071404, 2019.