Travis Askham
Travis Askham
Assistant Professor, Mathematical Sciences
508 Cullimore Hall (CULM)
Education
Ph.D.; New York University; ; 2016
B.S.; University of California-Los Angeles; ; 2010
M.A.; University of California-Los Angeles; ; 2010
B.S.; University of California-Los Angeles; ; 2010
M.A.; University of California-Los Angeles; ; 2010
2024 Spring Courses
MATH 792B - PRE DOCTORAL RESEARCH
MATH 337 - LINEAR ALGEBRA - HONORS
MATH 790A - DOCT DISSERTATION & RES
MATH 332 - INTRO COMPLEX VARIABLES
MATH 337 - LINEAR ALGEBRA - HONORS
MATH 790A - DOCT DISSERTATION & RES
MATH 332 - INTRO COMPLEX VARIABLES
Past Courses
MATH 337: LINEAR ALGEBRA
MATH 707: ADVANCED APPLIED MATHEMATICS IV: SPECIAL TOPICS
MATH 767: FAST NUMERICAL ALGORITHMS
MATH 707: ADVANCED APPLIED MATHEMATICS IV: SPECIAL TOPICS
MATH 767: FAST NUMERICAL ALGORITHMS
Journal Article
Askham, Travis L, & Borges, Carlos, & Rachh, Manas, & Hoskins, Jeremy (2023). Random walks in frequency and the reconstruction of obstacles with cavities from multi-frequency data. Journal of Scientific Computing, 98(1),
af Klinteberg, Ludvig, & Askham, Travis L, & Kropinski, Mary Catherine (2020). A Fast Integral Equation Method for the Two-Dimensional Navier-Stokes Equations. Journal of Computational Physics, 409(109353), 33.
Askham, Travis L, & Rachh, Manas (2020). A boundary integral equation approach to computing eigenvalues of the Stokes operator. Advances in Computational Mathematics, 46, 42.
Mangan, Niall M, & Askham, Travis L, & Brunton, Steven L, & Kutz, Jose N, & Proctor, Joshua L (2019). Model selection for hybrid dynamical systems via sparse regression. Proceedings of the Royal Society, A, 475(2223), 22.
af Klinteberg, Ludvig, & Askham, Travis L, & Kropinski, Mary Catherine (2020). A Fast Integral Equation Method for the Two-Dimensional Navier-Stokes Equations. Journal of Computational Physics, 409(109353), 33.
Askham, Travis L, & Rachh, Manas (2020). A boundary integral equation approach to computing eigenvalues of the Stokes operator. Advances in Computational Mathematics, 46, 42.
Mangan, Niall M, & Askham, Travis L, & Brunton, Steven L, & Kutz, Jose N, & Proctor, Joshua L (2019). Model selection for hybrid dynamical systems via sparse regression. Proceedings of the Royal Society, A, 475(2223), 22.
Conference Abstract
Data-driven continuum modeling of active nematics via sparse identification of nonlinear dynamics
American Physical Society,
Data-driven continuum modeling of active nematics via sparse identification of nonlinear dynamics
American Physical Society,
American Physical Society,
Data-driven continuum modeling of active nematics via sparse identification of nonlinear dynamics
American Physical Society,