معرفی
Douglas Allaire is an Associate Professor and Sallie and Don Davis '61 Faculty Fellow in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University, part of the College of Engineering. He leads the Computational Design Laboratory, focusing on computational methods for complex engineered systems. His research spans multidisciplinary design optimization, Bayesian optimization, machine learning, and materials design.
Education:
- 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:
- Bayesian optimization and uncertainty quantification
- Materials design using machine learning
- Autonomous experimentation and data fusion
- Predictive analytics for engineering systems
Recent Trends in Publications: His work emphasizes integrating Bayesian methods with materials discovery, autonomous systems, and high-fidelity modeling. Key themes include optimizing multifidelity systems, inverse microstructure design, and real-time decision frameworks.
Awards:
- ASEM Fellow (2024)
- AIAA Associate Fellow (2023)
- ASME Young Engineer Award (2018)
Advising & Grants: Advised students like Jaylen James (Ph.D. 2022) and Danial Khatamsaz. Active in securing grants for computational design and materials research. Collaborates with institutions like the American Institute of Aeronautics and Astronautics.
Labs & Teams: Directs the Computational Design Laboratory, part of the Engineering Systems Design Group. Engages in interdisciplinary projects with Texas A&M’s Multidisciplinary Engineering program.
