Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization · 2024
Cited
5
Resume (English only)
Academic Achievements
Journal Papers:
[1] Miller, Jacob, Dhruv Bhatia, Stephen Kobourov. "State of the Art of Graph Visualization in non-Euclidean Spaces" EuroVis STAR, CGF. 2024
[2] Efrat, Alon, William Evans, Kassian Köck, Stephen Kobourov, Jacob Miller. "Visualization of Bipartite Graphs in Limited Window Size" Acta Informatica. 2025.
Conference Papers:
[1] Miller, Jacob, Stephen Kobourov, and Vahan Huroyan. "Browser-based hyperbolic visualization of graphs." 2022 IEEE 15th Pacific Visualization Symposium (PacificVis). IEEE, 2022.
[2] Miller, Jacob, Vahan Huroyan, and Stephen Kobourov. "Spherical Graph Drawing by Multi-dimensional Scaling." International Symposium on Graph Drawing and Network Visualization. Cham: Springer International Publishing, 2022.
[3] Miller, Jacob, Mohammad Ghoniem, Hsiang-Yun Wu, Helen Purchase. "On the Perception of Small Sub-graphs." International Symposium on Graph Drawing and Network Visualization. Cham: Springer Nature Switzerland, 2023.
[4] Miller, Jacob, Vahan Huroyan, and Stephen Kobourov. "Balancing Between the Local and Global Structures (LGS) in Graph Embedding." International Symposium on Graph Drawing and Network Visualization. Cham: Springer Nature Switzerland, 2023.
[6] Mooney, Gavin J., Helen Purchase, Michael Wybrow, Stephen Kobourov, and Jacob Miller. "The Perception of Stress in Graph Drawings" International Symposium on Graph Drawing and Network Visualization. 2024
[7] Miller, Jacob, Dhruv Bhatia, Helen Purchase, Stephen Kobourov. "Euclidean, Hyperbolic, and Spherical Networks: An Empirical Study of Matching Network Structure to Best Visualizations" (to appear) EuroVis 2025.
Short and Workshop Papers:
[1] Mackey, Patric, Jacob Miller, Liz Faultersack. "Improving Property Graph Layouts by Leveraging Attribute Similarity for Structurally Equivalent Nodes" 2024 IEEE VIS Short Papers.
[2] Smelser, Kiran, Jacob Miller, Stephen Kobourov. "'Normalized Stress' is Not Normalized: How to Interpret Stress Correctly" 2024 BELIV Workshop.
Research Experience
Published papers in multiple international conferences and participated in several research projects.
Education
Ph.D. in Computer Science from the University of Arizona (2024), Advisor: Stephen Kobourov; B.S. in Computer Science from Southwestern Oklahoma State University (2020).
Background
Primary research interest: network visualization, particularly network layout. Currently a postdoctoral fellow at TU Munich.