* ProcVQA: Benchmarking VLM Performance on Mined Process Visualizations, EMNLP Findings 2025
* Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions, ICANN 2025
* Comparing Native and Non-native English Speakers' Behaviors in Collaborative Writing through Visual Analytics, CHI 2025
* A Multi-Level Task Framework for Event Sequence Analysis, IEEE VIS 2024
* A Comparative Evaluation of Visual Summarization Techniques for Event Sequences, EuroVis 2023
- Awards: Passed candidacy exam, September 2024
Research Experience
- Position: Applied Science Intern
- Company: AWS (Bedrock & MLSL)
- Time: Previously
- Project: Developed intervention-aware causal models for sequential data with large accuracy gains on industrial maintenance logs
- Position: Research Intern
- Company: Amazon Web Services - Bedrock Generative AI Team
- Time: Summer 2023
- Company: Amazon Web Services - ML Solutions Lab
- Time: Summer 2022
Education
- Degree: Ph.D. (in progress)
- School: University of Maryland, College Park
- Advisor: Dr. Zhicheng Liu
- Time: Final year
- Major: Computer Science
- Degree: B.Sc.
- School: Bangladesh University of Engineering & Technology
- Major: Computer Science and Engineering
Background
- Research Interests: Event sequence analysis, machine learning, visual analytics
- Professional Field: Computer Science
- Brief Introduction: Ph.D. candidate in Computer Science at the University of Maryland, College Park, focusing on multimodal model evaluation benchmarks, trustworthy retrieval systems, and human-in-the-loop agentic systems.
Miscellany
- Personal Interests: Reading, traveling, hiking, exploring new cuisines