About Me
I am a PhD candidate in Computer Science at the Biocomplexity Institute, University of Virginia, advised by Professor Geoffrey C. Fox. My research focuses on developing and evaluating machine learning methods for complex scientific problems, with particular emphasis on generative AI for physics simulations.
Expected graduation: Spring 2027
Education
Ph.D. in Computer Science
University of Virginia — Biocomplexity Institute
Advisor: Professor Geoffrey C. Fox
2021 – Present (Expected: Spring 2027) | CGPA: 3.90 / 4.00
Master of Computer Science (M.C.S.)
University of Virginia — Department of Computer Science
Spring 2026 | CGPA: 3.90 / 4.00
B.Sc. in Computer Science and Engineering
Bangladesh University of Engineering and Technology (BUET)
2015 – 2019 | CGPA: 3.69 / 4.00
Research Interests
Scientific ML for Complex Systems
Applying machine learning to scientific computing challenges
Generative AI
Diffusion models, flow matching, VAEs, and fine-tuning techniques
Model Evaluation
Rigorous evaluation of generative models for fidelity and reliability
Technical Skills
Python
PyTorch
TensorFlow
Hugging Face
Diffusion Models
Flow Matching
Multi-GPU Training
HPC
Git/GitHub
LLM Systems
RAG Pipelines
Selected Publications
CaloBench: A Benchmark Study of Generative Models for Calorimeter Showers
Ahmad, F.Y., Venkataswamy, V., and Fox, G. - International Symposium on Benchmarking, Measuring and Optimization (Accepted - to appear), Springer, 2024.
Distributed Principal Component Analysis for Real-time Big Data Processing
Meem, J.A., Ahmad, F.Y., and Adnan, M.A. - Proceedings of the 7th International Conference on Networking, Systems and Security, 2020, pp. 89–99.
Featured Projects
LANTERN: Physics-Guided Diffusion for Calorimeter Showers
Developed a novel physics-guided diffusion model augmented with auxiliary training objectives including correlation-aware CFD, MVN likelihood, and energy consistency constraints. Implemented timestep weighting and warm-up strategies for improved training.
View on GitHub →
CaloBench: Systematic Benchmark of Generative Models
Conducted a comprehensive multi-detector evaluation of generative models for calorimeter data. Introduced the Correlation Frobenius Distance (CFD) metric to quantify preservation of second-order structure and analyzed energy-stratified behavior.
View on GitHub →
LLM-Based Forecasting of Crisis-Induced Migration
Systematically evaluated GPT-5, Gemini 2.5 Flash, and Claude Sonnet 4.5 for forecasting temporal return migration patterns following the 2022 Russian invasion of Ukraine. Assessed forecasting accuracy, robustness, and reasoning processes using real-world migration, conflict, and historical data. Findings indicate LLMs require human oversight for reliable crisis forecasting.
View on GitHub →
PhinD-me-if-You-Can
Built an AI-powered tool during the Claude for Good 2025 hackathon (7.5 hours) that matches students with potential PhD advisors using LLM APIs. Implemented quantitative match scoring with qualitative explanations using Streamlit.
View on GitHub →
Calo-RAG: Literature Retrieval for Calorimeter Modeling
Built a RAG pipeline for practicing LLM+IR techniques with prompt templates, citation-aware retrieval, and basic reranking. Evaluated coverage using precision/recall metrics on curated queries.
View on GitHub →
Awards & Recognition
2026 - Best Flash Talk Presentation (Graduate Category), ACM Capital Region Celebration of Women in Computing (CAPWIC)
2025 - Lightning Talk, UVA CS Research Symposium
2025 - Poster Presentation Finalist, UVA Engineering Research Symposium (UVERS)
2023 - Invited to CRA-WP Graduate Cohort Workshop for Women
2019 - Dean's List Scholarship, Bangladesh University of Engineering and Technology
2017, 2018 - University Merit List Scholarship, BUET
Teaching Experience
Graduate Teaching Assistant - University of Virginia
- Fall 2024: Economics of Distributed Systems
- Fall 2023: Artificial Intelligence
- Spring 2023: Computer Systems and Organization 2
- Fall 2022: Mobile Application Development
Lecturer (2019-2020)
Department of Computer Science, United International University
Service & Leadership
- 2025: Mentorship Chair, Computer Science Engineering Graduate Student Group, UVA
- 2023-2024: Vice President, Graduate Society of Women in Engineering, UVA
- 2022-2023: President, Association of Bangladeshi Students at UVA
- 2022-2023: International Citizen Leader Fellow at UVA
- 2018: Batch Representative, Bangladeshi Women in CSE at BUET