About Me
I am a 5th year PhD student at North Carolina State University, studying under
Dr. Alen Alexanderian.
I am a computational mathematician and my research interests lie in wielding
math to design algorithms for real-world problems.
Currently, I practice that in developing scalable algorithms to quantify,
analyze, and control the uncertainty inherent in mathematical models.
During my Ph.D., I focused on the uncertainty quantification (UQ) of large-scale
inverse problems for physical phenomena governed by partial differential
equations (PDEs).
At the moment, I’m looking to direct my research interests in the directions of
- High performance computing.
- Building computational tools and algorithms for large-scale scientific
problems
- Scaling to the highly distributed setting / GPU friendly algorithms
- Writing and maintaing open research software
- Neural surrogates for UQ
- Deriving reliable approximation guarantees
- Exploring architecutres more informed to model and physical structure
- Applications towards solving previously intractable problems in UQ
- Structure exploiting algorithms
- Randomized algorithms that scale in the ‘information dimension’
- Leveraging spatial or temporal structure. For example heirarchical matrices or
tensors formatted data
News
- [Mar. 2025] I will presenting at a mini-symposium at SIAM CSE 2025.
- [Feb. 2025] I defended my thesis! I will graduate with my
doctorate in May.
- [Sept. 2024] Our preprint Robust OED for nonlinear inverse problems is on arXiv.
- [Oct. 2024] I will be presenting a poster at SIAM MDS 2024.
- [June 2024] Our paper for PyOED was accepted to ACM TOMS.
- [May 2024] I have been awarded a Givens internship at Argonne National Lab for the summer.
- [Apr. 2024] Our paper for the sensitivity analysis of infinite-dimensional inverse problems is accepted to IJUQ.
- Show more
- [Feb. 2024] I will be presenting at a mini-symposium at SIAM UQ 2024.
- [May. 2023] I have been awarded a Givens internship at Argonne National Lab for the summer.
- [Feb. 2023] I will be presenting at a mini-symposium at SIAM CSE 2023.
Publications
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arXiv
Abhijit Chowdhary, Ahmed Attia, Alen Alexanderian
arXiv, 2024.
-
IJUQ
Abhijit Chowdhary, Shanyin Tong, Georg Stadler, Alen Alexanderian
International Journal for Uncertainty Quantification, 2024.
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ACM TOMS
Abhijit Chowdhary, Shady E. Ahmed, Ahmed Attia
ACM Transactions on Mathematical Software, 2024.
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arXiv
Abhijit Chowdhary, Mason Haberle, William Ofori-atta, Qiliang Wu
arXiv, 2023.
Presentations
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CSE25
Abhijit Chowdhary, Ahmed Attia, Alen Alexanderian
SIAM CSE 2025.
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MDS24
Abhijit Chowdhary, Ahmed Attia, Alen Alexanderian
SIAM MDS 2024.
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UQ24
Abhijit Chowdhary, Shady E. Ahmed, Ahmed Attia
SIAM UQ 2024.
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CSE23
Abhijit Chowdhary, Shanyin Tong, Georg Stadler, Alen Alexanderian
SIAM CSE 2023.
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