Kamrun Nahar Keya
School of Mathematical and Statistical Sciences, Arizona State University
Research Interests
My research focuses on computational mathematics, optimization, matrix and tensor decompositions, and mathematical
modeling. I am particularly interested in scalable algorithms for low-rank structure, dynamic data environments,
and data-driven mathematical models.
- Low-rank matrix factorization
- Online optimization and dynamic data analysis
- Randomized tensor canonical polyadic decomposition (CPD)
- Numerical analysis and scientific computing
- Data-driven mathematical modeling
- Population dynamics and biological systems
Current Research Projects
- Fast Updating of Low-Rank Matrix Factorization: Developing efficient algorithms for rapid parameter updates in large-scale matrix factorization problems.
- Low-Rank Online Matrix Factorization: Designing online optimization techniques for dynamic and streaming data environments.
- Randomized Tensor Canonical Polyadic Decomposition (CPD): Investigating randomized approaches for scalable tensor decomposition and multidimensional data analysis.
- Data-induced discrete two-population model for flour beetle: Analyzing the dynamics of Tribolium confusum and identifying models aligned with experimental data.
Research Direction
Broadly, I am interested in mathematical approaches that connect structure, computation, and application:
optimization methods for evolving data, low-rank models for large-scale problems, and interpretable mathematical
models for biological systems.