Career Profile

I am a Ph.D. candidate in Computer Science at the University of New Mexico (UNM), expected to graduate in the fall of 2023. I earned an MS in Computer Science from UNM in 2021. I received my Master’s and Bachelor’s Degrees in Computer Science and Engineering from the University of Dhaka, Bangladesh.

I am working as a Research Assistant under the supervision of Professor Melanie Moses at Moses Biological Computational lab. My research primarily focuses on using computational tools to understand complex biological systems, with a particular emphasis on applying information theory-based frameworks to large-scale image datasets. My work has the potential to make significant contributions to the understanding of a variety of biological phenomena, including the immune response to infections like SARS-CoV-2.

My research interests include: 1) Computational Biology 2) Information Theory Frameworks 3) Modeling Complex Systems 4) Data Science 5) Image Analysis 6) Scientific and Information Visualization 7) Machine Learning for Images

RECENT NEWS:

Experiences

Research Assistant

2017 - Present
Moses Biological Computation Lab, Computer Science, University of New Mexico
  • Use computer modeling, statistical tools, and simulations to analyze and comprehend complex biological systems scenarios such as spatial association, cell motility, signaling, search behaviors, and localization.
  • Develop information theory-based frameworks that enable the analysis and identification of spatial and temporal relationships within large-scale image datasets.

Summer Research Intern

June 2023 - August 2023
Lawrence Berkeley National Laboratory (LBNL), CA
  • Intern at Computer Languages and Systems Software Group.
  • Topic: Analyzing T-Cell Behavior for Immune Response in SARS-CoV-2 Patients using CT Scans and SIMCoV Model

Summer Research Intern

June 2022 - August 2022
Lawrence Berkeley National Laboratory (LBNL), CA
  • Research internship funded by Sustainable Research Pathways for High-Performance Computing (SRP-HPC)program.
  • Topic: Analyzing Spatial Features of SARS-CoV-2 Infection Spread in Human Lung using CT Scans Compared to SIMCoV Model.
  • Profile

Summer Research Fellow

June 2020 - August 2020
Los Alamos National Laboratory (LANL), NM

Teaching Assistant

Fall 2016 - Spring 2017
Computer Science, University of New Mexico
  • Data Structure and Algorithm I (CS 262)- Course Instructor: Dr. Shuang Luan. (Fall 2016)
  • Data Structure and Algorithm II (CS 362)- Course Instructor: Dr. Thomas Hayes. (Spring 2017)
  • Responsibilities: Grading homework and exam scripts, holding office hours to assist students with coursework, and proctoring exams.

Lecturer

2014 - 2016
Computer Science, Eastern University, Bangladesh
  • Courses: Structured and Object-Oriented Programming, Theory of Computation, Software Engineering

Publications

  • Information-Theoretic Exploration of Multivariate Time-Varying Image Databases
  • Humayra Tasnim; Soumya Dutta; Terece L. Turton; David H. Rogers; Melanie E. Moses
    IEEE, Computing in Science & Engineering 2022
  • InSitu Adaptive Spatio-Temporal Data Summarization
  • Soumya Dutta; Humayra Tasnim; Terece L. Turton; James Ahrens
    IEEE International Conference on Big Data (IEEEBigdata) 2021, pp. 315-321.
  • Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection
  • Melanie E Moses, Steven Hofmeyr, Judy L Cannon, Akil Andrews, Rebekah Gridley, Monica Hinga, Kirtus Leyba, Abigail Pribisova, Vanessa Surjadidjaja, Humayra Tasnim, Stephanie Forrest
    PLoS Computational Biology.2021;17(12):e1009735.
  • Modeling T Cell Motion in Tissues During Immune Responses
  • Judy L Cannon, Melanie E Moses, Janie R Byrum, Paulus Mrass, G Matthew Fricke, Humayra Tasnim
    Biophysical Journal 116 (3), 322a, Elsevier, 2019
  • Quantitative Measurement of Naive T cell Association with Dendritic Cells, FRC, and Blood Vessels in Lymph Nodes.
  • Humayra Tasnim, G Matthew Fricke, Janie R Byrum, Justyna O Sotiris, Judy L Cannon, Melanie E Moses
    Frontiers in Immunology, section Microbial Immunology, 2018

    Research Projects

    Application-Based Projects

    Swarmathon The Next Generation - Technical Lead of the project sponsored by Google exploreCSR outreach program for two consequetive years (2019 and 2020).
    UNM Chili House - NASA MINDS Challenge - Graduate Student Advisor of the team working on the approach to implementing the autonomous path-planning procedure of the robots.
    NASA Space Robotics Challenge Phase 2 - Finalist (Team Swarmathon)
    Classification of DNA Sequence using Machine Learning Decision Tree Algorithm - Machine Learning class project on Comprehensive Study of Decision Trees to Classify DNA Sequences. Report link https://www.cs.unm.edu/~htasnim30/files/ML_pro1.pdf
    Implement and Analyze Forest Fire Behavior as Cellular Automata Model - Class project of Complex adaptive system. Report link https://www.cs.unm.edu/~htasnim30/files/comprehensive-study-forest.pdf
    Evolving Core War Warriors Using a Genetic Algorithm - Class project of Complex adaptive system. Report link https://www.cs.unm.edu/~htasnim30/files/evolving-core-war.pdf
    Discovering Structure and Behavior in Complex Adaptive Systems - Class project of Complex adaptive system. Report link https://www.cs.unm.edu/~htasnim30/files/discovering-structure-behavior.pdf