Yahya Masri

Junior CS Student, URA at GMU | NSF Spatiotemporal Innovation

I am a junior at George Mason University majoring in Computer Science. I am also an Undergraduate Research Assistant at the NSF Spatiotemporal Innovation Center, and earned an A.S. in Computer Science from Northern Virginia Community College.

My primary interests lie in inference, prompting strategies, and the practical applications of large language models.

At the NSF Spatiotemporal Innovation Center, I contribute to the automation and analysis of conflict mapping, where I develop, design, and code end-to-end pipelines integrating large language models, QGIS, Neo4j, and Streamlit. My team builds systems used to classify, geocode, and visualize real-world incident data, supporting rapid-response tools for humanitarian and research purposes.

I work under the mentorship of Dr. Zifu Wang and the supervision of Dr. Chaowei Yang.

Latest News

• May 2025

  Graduated from NOVA with my A.S. in Computer Science

• November 2024

  Presented updated findings on context-aware location extraction at the STC IAB at GMU.

• July 2024

  Presented findings on conflict incident classification using a BERT model at the 2024 International Symposium of Spatiotemporal Data Science.

• May 2024

  Presented findings on context-aware location extraction at the STC IAB at Harvard.

Current Projects

• Summer 2025
  Developing a Data Center Digital Twin for real-time monitoring and visualization systems using Prometheus and Grafana for comprehensive data center performance analysis.Automating conflict mapping via multi-agent system using LLMs, Neo4j, and PyQGIS.
• Spring 2025Contributed to machine learning pipelines for classification using BERT, GPT, FAISS, and OpenAI APIs.
• Fall 2024Researched context-specific location extraction for conflict articles using LLMs and Retrieval-Augmented Generation.