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.
- 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
Lecerf, M, Allaire, D., and Willcox, K., “Methodology for dynamic-data driven online flight capability estimation,” AIAA Journal 2015.
Amaral, S., Allaire, D., and Willcox, K., “A decomposition-based approach to uncertainty analysis of multicomponent systems,” International Journal for Numerical Methods in Engineering, 100:982-1005, 2014.
Allaire, D. and Willcox, K., “A mathematical and computational framework for multifidelity design and analysis with computer models,” International Journal for Uncertainty Quantification, 4(1):1-20, 2014.
Allaire, D., Willcox, K., Noel, G., and Cointin, R., “Uncertainty quantification of an aviation environmental toolsuite,” Reliability Engineering & System Safety, 126:14-24, 2014.
Allaire, D., He, Q., Deyst, J., and Willcox, K., “An information-theoretic metric of system complexity with application to engineering system design,” ASME Journal of Mechanical Design, 134:100906-1-100906-10, 2012.