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Matthew J. Zahr | |
|---|---|
| Alma mater | University of California, Berkeley Stanford University |
| Known for | Research on model order reduction, high-order numerical methods, PDE-constrained optimization, and implicit shock tracking |
| Awards | NSF CAREER Award Office of Naval Research Young Investigator Award Air Force Office of Scientific Research Young Investigator Award Civil Engineering Department Citation, University of California, Berkeley |
| Scientific career | |
| Fields | Computational engineering, computational mechanics, computational fluid dynamics, numerical analysis |
| Institutions | University of Notre Dame Lawrence Berkeley National Laboratory |
Matthew J. Zahr is an American computational engineer and academic. He is the Robert W. Huether Collegiate Professor in Aerospace Engineering and an associate professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame.[1] His research concerns numerical methods for scientific computing, including model order reduction, high-order methods for computational physics, PDE-constrained optimization, computational methods for shocks and discontinuities, and multiscale methods.[2][3]
Education and career
[edit]Zahr received a B.S. in civil and environmental engineering from the University of California, Berkeley. As an undergraduate, he received Berkeley's Civil Engineering Department Citation and was a finalist for the university's 2011 University Medal.[4] He received an M.S. and Ph.D. in computational and mathematical engineering from Stanford University in 2016.[2][3] From 2016 to 2018, he was the Luis W. Alvarez Postdoctoral Fellow in the Department of Mathematics at Lawrence Berkeley National Laboratory.[2][3]
Zahr joined the faculty of the University of Notre Dame after his postdoctoral fellowship.[5] He is affiliated with Notre Dame's Department of Aerospace and Mechanical Engineering and has a concurrent appointment in the Department of Applied and Computational Mathematics and Statistics.[3]
Research
[edit]Zahr's research focuses on mathematical and computational methods for problems in engineering and science. His publications include work on reduced-order modeling, uncertainty quantification, computational mechanics, high-order numerical methods, and implicit shock tracking.[6][7][8][9]
His early work with Charbel Farhat developed adaptive and progressive reduced-order modeling methods for PDE-constrained optimization.[6] He has also published work on multilevel projection-based model order reduction for nonlinear dynamic multiscale problems,[7] optimization under uncertainty using adaptive model reduction and sparse grids,[8] and high-order implicit shock tracking for compressible reactive flow.[9]
Awards and honors
[edit]In 2011, while completing his undergraduate degree at the University of California, Berkeley, Zahr received the Civil Engineering Department Citation, described by Berkeley Engineering as the top undergraduate award in his major, and was named a finalist for the University Medal.[4]
Zahr received a Young Investigator Award from the Air Force Office of Scientific Research in 2020.[5] In 2022, he received a Young Investigator Program award from the Office of Naval Research for research related to high-speed flow simulation.[10] In 2023, he received a NSF CAREER Award for a project titled "Nonlinear Finite Element Manifolds for Improved Simulation of Shock-Dominated Turbulent Flows".[11]
In 2024, Zahr was included in the American Society of Mechanical Engineers' Rising Stars of Mechanical Engineering Celebration and Showcase at the ASME International Mechanical Engineering Congress and Exposition.[3][12]
Selected publications
[edit]- Zahr, M. J.; Farhat, C. (2015). "Progressive construction of a parametric reduced-order model for PDE-constrained optimization". International Journal for Numerical Methods in Engineering. 102 (5): 1111–1135. arXiv:1407.7618. Bibcode:2015IJNME.102.1111Z. doi:10.1002/nme.4770.
- Zahr, M. J.; Avery, P.; Farhat, C. (2017). "A multilevel projection-based model order reduction framework for nonlinear dynamic multiscale problems in structural and solid mechanics". International Journal for Numerical Methods in Engineering. 112 (8): 855–881. Bibcode:2017IJNME.112..855Z. doi:10.1002/nme.5535.
- Zahr, Matthew J.; Carlberg, Kevin T.; Kouri, Drew P. (2019). "An efficient, globally convergent method for optimization under uncertainty using adaptive model reduction and sparse grids". SIAM/ASA Journal on Uncertainty Quantification. 7 (3): 877–912. arXiv:1811.00177. doi:10.1137/18M1220996.
- Zahr, Matthew J.; Powers, Joseph M. (2021). "High-order resolution of multidimensional compressible reactive flow using implicit shock tracking". AIAA Journal. 59 (1): 150–164. Bibcode:2021AIAAJ..59..150Z. doi:10.2514/1.J059655.
References
[edit]- ↑ "Matthew Zahr". College of Engineering. University of Notre Dame. Retrieved May 11, 2026.
- 1 2 3 "Alvarez Seminar Series". Berkeley Lab Computing Sciences. Lawrence Berkeley National Laboratory. Retrieved May 11, 2026.
- 1 2 3 4 5 "Improved Simulation of Shock-Dominated Flows Using High-Order Implicit Shock Tracking". ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers. Retrieved May 11, 2026.
- 1 2 Shafer, Rachel (August 18, 2011). "Tough act to follow". Berkeley Engineering. University of California, Berkeley. Retrieved May 11, 2026.
- 1 2 "Matthew Zahr receives Air Force Young Investigator award". College of Engineering. University of Notre Dame. June 2, 2020. Retrieved May 11, 2026.
- 1 2 Zahr, M. J.; Farhat, C. (2015). "Progressive construction of a parametric reduced-order model for PDE-constrained optimization". International Journal for Numerical Methods in Engineering. 102 (5): 1111–1135. arXiv:1407.7618. Bibcode:2015IJNME.102.1111Z. doi:10.1002/nme.4770.
- 1 2 Zahr, M. J.; Avery, P.; Farhat, C. (2017). "A multilevel projection-based model order reduction framework for nonlinear dynamic multiscale problems in structural and solid mechanics". International Journal for Numerical Methods in Engineering. 112 (8): 855–881. Bibcode:2017IJNME.112..855Z. doi:10.1002/nme.5535.
- 1 2 Zahr, Matthew J.; Carlberg, Kevin T.; Kouri, Drew P. (2019). "An efficient, globally convergent method for optimization under uncertainty using adaptive model reduction and sparse grids". SIAM/ASA Journal on Uncertainty Quantification. 7 (3): 877–912. arXiv:1811.00177. doi:10.1137/18M1220996.
- 1 2 Zahr, Matthew J.; Powers, Joseph M. (2021). "High-order resolution of multidimensional compressible reactive flow using implicit shock tracking". AIAA Journal. 59 (1): 150–164. Bibcode:2021AIAAJ..59..150Z. doi:10.2514/1.J059655.
- ↑ "Matthew Zahr receives Navy Young Investigator Award". College of Engineering. University of Notre Dame. February 21, 2022. Retrieved May 11, 2026.
- ↑ Beasley, Brett (July 31, 2024). "Eight Notre Dame faculty receive prestigious early career awards from the US National Science Foundation". Notre Dame Research. University of Notre Dame. Retrieved May 11, 2026.
- ↑ "Rising Stars of Mechanical Engineering". ASME International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers. Retrieved May 11, 2026.