Travis Askham

Associate Professor, Mathematical Sciences
Ph.D.; New York University; 2016
B.S.; University of California-Los Angeles; 2010
M.A.; University of California-Los Angeles; 2010
MATH 792B - PRE DOCTORAL RESEARCH
MATH 790A - DOCT DISSERTATION & RES
MATH 337 - LINEAR ALGEBRA
MATH 332: INTRODUCTION TO FUNCTIONS OF A COMPLEX VARIABLE
MATH 337: LINEAR ALGEBRA
MATH 337: LINEAR ALGEBRA - HONORS
MATH 631: LINEAR ALGEBRA
MATH 707: ADVANCED APPLIED MATHEMATICS IV: SPECIAL TOPICS
MATH 707: ST: NUMERICAL LINEAR ALGEBRA
MATH 767: FAST NUMERICAL ALGORITHMS
"Data-driven modeling of active nematics via sparse identification of nonlinear dynamics"
Euromech, March, 2025.
"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.
Travis L Askham, Carlos Borges. 2024. "Reconstructing the shape and material parameters of dissipative obstacles using an impedance model." Inverse Problems, vol. 40, no. 9, pp. 095004.
Travis L Askham, Carlos Borges, Manas Rachh, Jeremy Hoskins. 2023. "Random walks in frequency and the reconstruction of obstacles with cavities from multi-frequency data." Journal of Scientific Computing, vol. 98, no. 1.
Travis L Askham, Peng Zheng, Aleksandr Aravkin, Jose Nathan Kutz. 2022. "Robust and scalable methods for the dynamic mode decomposition." SIAM Journal on Applied Dynamical Systems (SIADS), vol. 21, no. 1, pp. 60-79.
Ludvig af Klinteberg, Travis L Askham, Mary Catherine Kropinski. 2020. "A Fast Integral Equation Method for the Two-Dimensional Navier-Stokes Equations." Journal of Computational Physics, vol. 409, no. 109353, pp. 33.
Travis L Askham, Manas Rachh. 2020. "A boundary integral equation approach to computing eigenvalues of the Stokes operator." Advances in Computational Mathematics, vol. 46, pp. 42.
Niall M Mangan, Travis L Askham, Steven L Brunton, Jose N Kutz, Joshua L Proctor. 2019. "Model selection for hybrid dynamical systems via sparse regression." Proceedings of the Royal Society, A, vol. 475, no. 2223, pp. 22.