Humayra Tasnim

Humayra Tasnim

Institution/Organization: University of New Mexico

Department: Computer Science

Academic Status: Doctoral Student

Biography:

I am pursuing my Ph.D. at the University of New Mexico under the supervision of Professor Dr. Melanie Moses. I have completed my bachelor’s and master’s degree in Computer Science and Engineering from the University of Dhaka, Bangladesh. I have recently earned my second master’s in CS from the University of New Mexico. My research area focuses on computational analysis and modeling of biological systems. Using mathematical models and statistical tools, I study how the immune system responds to novel infections by analyzing scenarios like cell motility, signaling, and feature localization. I have applied information theory-based technique, normalized mutual information, to measure the spatial association between biological components. I am working on extending the application of NMI to images containing cells from flu-infected lung tissue. I am also working on a project where we are studying SARS-CoV-2 infection by analyzing the spatial distribution of infected cells and immune response through computer-simulated modeling. I am working with computed tomography (CT) scans from covid19 patients to develop a computational model to identify and track the progression of the disease and also validate the simulation model with actual patient scenarios. My research helps to understand complex systems like the immune system more profoundly.

Motivation:

I am a Computer Science Ph.D. student at the University of New Mexico under the supervision of Professor Dr. Melanie Moses. My research area focuses on computational analysis and modeling of biological systems. Using mathematical models and statistical tools, I study how the immune system responds to novel infections by analyzing scenarios like cell motility, signaling, and feature localization. I have applied information theory-based technique, normalized mutual information (NMI), to measure the spatial association between biological components (blood cells). I am working on extending the application of NMI to images containing cells from flu-infected lung tissue. I am also part of a project where we are studying SARS-CoV-2 infection by analyzing the spatial distribution of infected cells and immune response through computer-simulated modeling. I am working with computed tomography (CT) scans from covid19 patients to develop a computational model to identify and track the progression of the disease and also validating the simulation model with actual patient scenarios. My research helps to understand complex systems like the immune system more profoundly. I worked as a research fellow at the Los Alamos National Lab (LANL) Data Science at Scale Summer School Program. We developed an information-theoretic analysis framework that works on multivariate time-varying Cinema databases and performs automatic identification of salient regions. The framework will be used for in situ analysis and visualization of their exascale applications. With my research and analytical experience, I consider myself suitable to join SRP -HPC program. This opportunity will help me enhance my skills and grow as a professional researcher.