PhD candidate developing Incremental Data Compression for Large-Scale Scientific Computing and Data Science Problems.
I'm a Ph.D. candidate in the Department of Mathematics at the University of Louisiana at Lafayette, where my research focuses on numerical analysis, scientific computing, and the development of efficient algorithms for large-scale mathematical models.
My research aims to reduce the computational cost and memory requirements of large-scale simulations while maintaining mathematical accuracy and reliability. These methods support high-performance scientific computing and have potential applications in areas such as energy systems, environmental modeling, materials science, and data-driven computational technologies.
I received my M.S. in Mathematics from the University of Louisiana at Lafayette and my B.S. and M.S. in Mathematics from Jashore University of Science and Technology, Bangladesh.
Full publication list also available on Google Scholar.
Teaching undergraduates to think clearly with numbers — three semesters as instructor of record, plus a year of grading and tutoring.
I'm always glad to talk about fractional PDEs, low-rank compression, or opportunities in scientific computing.