Career Profile
I am a Postdoc in Computer Science at the University of New Mexico (UNM). I received my Ph.D in computer science from UNM in Summer 2024. 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.
My research aims to develop advanced computational techniques for analyzing complex biological systems and biomedical imaging, to boost understanding, facilitate discovery, and improve prognosis capabilities. To date, my research focuses on modeling and simulation of intricate biological phenomena, developing information theory frameworks for spatial-temporal relationships in complex systems, and employing visual computation and advanced image analysis to extract meaningful insights from biological datasets. A key future direction involves integrating explainable AI and machine learning to enhance data-driven insights and predictions and support pertinent biological system modeling. My research lies at the nexus of biological modeling and biomedical image analysis using artificial intelligence, machine learning, and information theory-based tools
My research interests include: 1) AI based Computational Sciences for Biological Applications 2) Computational Biology 3) Information Theory Frameworks 4) Modeling Complex Systems 5) Image Data Analysis 6) Scientific and Information Visualization 7) Machine Learning for Images
RECENT NEWS:
- Actively looking for full time faculty positions and research positions.
- Graduated with PhD in Computer Science from UNM [July 2024]
- Defended my dissertation [May 8 2024]
- Attended Rising Star Workshop at UT Austin Oden Institute. [May 2024]
- Summer intern at Lawrence Berkeley National Lab, Computer Languages and System Software Team. [June 2023 - August 2023]
- Received UNM School of Engineering Outstanding Graduate Student Award from Computer Science Department [May 2023]
- BDA extended abstract got accepted [May 2023]
- Presented a research talk and poster on my ongoing work at 18th Annual Computer Science Student Conference 2023 at UNM. [April 2023]
- Submitted an extended abstract at 9th workshop on Biological Distributed Algorithms (BDA) for GiAnt Project [April 2023]
- Got accepted in Sustainable Research Pathways Program to work in Summer 2023 at Berkeley Lab under Exascale Computing Project.[February 2023]
- Attended ECP Annual Meeting 2023 in Houston and presented a poster on my summer work with SRP 2022 program at Berkeley Lab. [January 2023]
Experiences
- Instructor for courses: Introduction to Programming using Python, Data Structure and Algorithms
- Semi-automate or automate processes in the OVPR units to improve customer service using AI and Large Language Models.
- 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.
- 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
- Research fellowship at Data Science at Scale Summer School Program.
- Developed an information-theoretic analysis framework that works on multivariate time-varying Cinema databases and performs automatic identification of salient regions.
- 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.
- Courses: Structured and Object-Oriented Programming, Theory of Computation, Software Engineering