- Associate Professor, Mechanical Engineering
- Sallie and Don Davis '61 Faculty Fellow
- Affiliated Faculty, Multidisciplinary Engineering
- Phone: 979-458-9889
- Email: dallaire@tamu.edu
- Office: MEOB 425
- Website: Research Webpage
- Linkedin: Profile
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
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- Multidisciplinary design optimization
- Bayesian optimization
- Multifidelity methods
- Uncertainty quantification
- Machine learning
- Design of materials
- Predictive and prescriptive analytics
Awards & Honors
- 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
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.