Hi, I’m Zehua Zeng
I am a Software Research Engineer at Intel, where I build full-stack applications and interactive visualization tools for large-scale semiconductor design and manufacturing. My work spans software engineering, data visualization, machine learning, and scalable data systems, with a focus on transforming complex engineering data into intuitive tools that enable real-time analysis and informed decision-making.
I earned my Ph.D. in Computer Science from the University of Maryland, College Park, where I worked with Prof. Leilani Battle in the BAttle-Data Lab and UW Interactive Data Lab. My research focused on visualization recommendation systems, interactive visual analytics, and human-centered data analysis. My research has been recognized with multiple paper and dissertation honors at premier visualization venues. I also earned my M.S. in Computer Science from the University of Maryland and my B.S. in Telecommunication Engineering from Beijing University of Posts and Telecommunications.
Featured Projects
A constraint-based system for visualization recommendation. It encodes design knowledge as logical rules and uses a renderer-agnostic format, so researchers and practitioners can extend and validate chart designs in a computational way.
An interactive visualization tool for analyzing shooting competition videos, enabling shooters to annotate, compare, and visualize performance. It was identified by a U.S. Department of Homeland Security scouting team and selected for both virtual and in-person demos.