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Alex Endert is an Associate Professor and the Associate Chair of Operations and Special Initiatives in the School of Interactive Computing at Georgia Tech. He directs the Visual Analytics Lab, and conducts research to help people make sense of data and AI through interactive visualizations and visual analytic systems, empowering people to make informed decisions and promoting the responsible use of AI. His lab’s research is often tested in practice in domains such as intelligence analysis, cybersecurity, manufacturing safety, and others. The lab’s work receives support from generous industry partners NSF, DARPA, DOD, DHS, NIJ, including a CAREER award from the National Science Foundation for his work on visual analytics by demonstration. He received his Ph.D. in Computer Science from Virginia Tech in 2012, advised by Dr. Chris North. In 2013, his work on Semantic Interaction was awarded the IEEE VGTC VPG Pioneers Group Doctoral Dissertation Award, and the Virginia Tech Computer Science Best Dissertation Award.
Prof. Endert teaches courses in the School of Interactive Computing. These include courses on data visualization, visual analytics, and human-centered data analysis.
Sah, S., Mitra, R., Narechania, A., Endert, A., Stasko, J., Dou, W., “Generating Analytic Specification for Data Visualization from Natural Language Queries using Large Language Models”, IEEE VIS’24 (Short Paper), 2024.
Lu, T., Zhu, Q., Ma, T., Kam-Kwai, W., Xie, A., Endert, A., & Yang, Y., “Ego vs. Exo and Active vs. Passive: Investigating the Effects of Viewpoint and Navigation on Spatial Immersion and Understanding in Immersive Storytelling”, ACM Conference on Human Factors in Computing Systems (CHI), 2025.
Narechania, A, Endert, A, Sinha, A, R, “Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis”. ACM Conference on Intelligent User Interfaces (IUI), 2025.
Jin, S., Shapiro, B.R., Endert, A. and Andris, C. “Bridging Spatial and Social Network Analysis Communities through Visual Analytics for Collaborative Work: A Case Study”, ACM CHI Conference on Human Factors in Computing Systems (Extended Abstract), 2025.
Coscia, A., Guo, S., Koh, E. and Endert, A., “OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models”. ACM Symposium on User Interface Software and Technology (UIST), 2025.
Coscia, A., Endert, A., “KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts”, IEEE Transactions on Visualization and Computer Graphics, 2023.
Narechania, A., Odak, K., El-Assady, M., Endert, A., “ProvenanceWidgets: A Library of UI Control Elements to Trak and Dynamically Overlay Analytic Provenance”, IEEE Transactions on Visualization and Computer Graphics (Proc. VIS’24), 2024.
Jin, S., Endert, A., & Andris, C., “SNoMaN: a visual analytic tool for spatial social network mapping and analysis”, Cartography and Geographic Information Science, 2025.
Guo, G., Das, S., Zhao, J. and Endert, A. “More Like Vis, Less Like Vis: Comparing Interactions for Integrating User Preferences Into Partial Specification Recommenders”, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025.
Narechania, A., Guo, S., Koh, E., Endert, A. and Hoffswell, J., “Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens”, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025.