Ahmet Kaan Aydin
Ph.D. Candidate in Applied Mathematics
I am a Ph.D. Candidate in Applied Mathematics at the University of Maryland, Baltimore County (UMBC). My current research interests include numerical analysis, scientific computing, uncertainty quantification, low-rank methods based on tensor decomposition, and the observer/controller design for partial differential equations.
You can explore my research, publications, and teaching on this website.
Research highlights
news
| Sep 18, 2026 | I delivered remarks as President of the UMBC Graduate Student Association at the 2026 Doctoral Candidacy Ceremony. Watch my remarks. |
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| Aug 11, 2026 | Our preprint, A Mean-Informed Low-Rank Monolithic Stochastic Galerkin Solver for the Unsteady Navier–Stokes Equations, with Bedřich Sousedík is available on arXiv. It develops a low-rank solver for unsteady flow with uncertain viscosity. Learn more about the research. |
| Jul 01, 2026 | I began serving as President of the UMBC Graduate Student Association on July 1, 2026. |
| May 08, 2026 | I received UMBC’s Outstanding Graduate Teaching Assistant in the Field of Mathematics recognition. |
| Mar 25, 2026 | I presented at the SIAM Conference on Uncertainty Quantification (UQ26) in Minneapolis, Minnesota. |