Scholar
Landon Dyken
Google Scholar ID: LVW51pcnYFYC
PhD Student
Citations & Impact
Citations
32
H-index
4
i10-index
1
Publications
12
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping, IEEE 18th Pacific Visualization Conference (PacificVis), 2025
- Accelerating Web-Based Graph Drawing with Bottom-Up GPU Quadtree Construction, IEEE 18th Pacific Visualization Conference (PacificVis), 2025
- Interactive Isosurface Visualization in Memory Constrained Environments Using Deep Learning and Speculative Raycasting, IEEE Transactions on Visualization and Computer Graphics, 2024
- Bruck Algorithm Performance Analysis for Multi-GPU All-to-All Communication, Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia '24), 2024
- Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes, IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2023 (Best Paper Award)
- GraphWaGu: GPU Powered Large Scale Graph Layout Computation and Rendering for the Web, Eurographics Symposium on Parallel Graphics and Visualization, 2022
- Accelerating Datalog Applications with cuDF, 12th Workshop on Irregular Applications: Architectures and Algorithms, 2022
Research Experience
- Graduate Research Assistant
Background
- Research interests include data visualization and high performance computing, specifically using applied ML, web-based tools, and GPU-accelerated systems. Currently a PhD student at the University of Illinois Chicago, pursuing a degree in Computer Science.
Miscellany
- Feel free to connect with me through LinkedIn, GitHub, Email, or Google Scholar, and check out my publications!
Co-authors