Jaewon Saw

Job title: 
Data Science Fellow 2024
Department: 
Civil and Enviromental Engineering
Bio/CV: 

I am a PhD candidate in Systems Engineering. My current research focuses on distributed acoustic sensing (DAS), a cutting-edge technology with diverse applications. I have used DAS to detect whale vocalizations in Monterey Bay, California, and to monitor roadways, water pipelines, and energy infrastructure.

I enjoy identifying and mitigating challenges that arise when applying new technologies by developing data tools, pipelines, and frameworks for real-world deployments. My work is driven by a keen interest in exploring and refining innovative technologies and data sources.

Research interests: 

Infrastructure monitoring, machine learning, urban resilience

Role: 
Data Science Fellow

Topics

Bash or Command Line topic page, C++ topic page, Data Manipulation and Cleaning topic page, Data Science topic page, Data Visualization topic page, Deep Learning topic page, Git or Github topic page, LaTeX topic page, Machine Learning topic page, MATLAB topic page, Python topic page, Regression Analysis topic page

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