Shaomeng (Samuel) Li

Ph.D. Candidate
CIS Department
University of Oregon

Staff Computer Scientist
National Center for Atmospheric Research

Office:203 Deschutes


Samuel is in his fourth year as a Ph.D. student in the Computer Science Department at the University of Oregon. He also holds a concurrent role as a staff computer scientist at the National Center for Atmospheric Research, as of September 2016. Samuel's research focuses on novel ways to represent and compress scientific data for visualization purposes, especially in relation to exascale computing. Currently, Samuel is investigating the usage of wavelet compression and state-of-the-art encoders from the image processing community.

Prior to joining UO, Samuel completed an M.S. degree from Tufts University, working with Remco Chang. His M.S. thesis was published as a research paper, Exploring Visualization Designs Using Phylogenetic Trees, at the SPIE Visualization and Data Analysis conference in 2015, and won a Best Paper award. During his time at UO, Samuel collaborated with John Clyne of NCAR, first as a summer student in 2015, and later through NCAR's Advanced Study Program (ASP) Award in Winter of 2016. Finally, Samuel did an internship at Los Alamos National Laboratory in the Summer of 2016, working with Chris Sewell, Ollie Lo, and Jon Woodring.


Performance Impacts of In Situ Wavelet Compression on Scientific Simulations
Samuel Li, Matt Larsen, John Clyne, and Hank Childs
ISAV 2017: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization, Denver, CO, USA, November 12-17, 2017

[PDF]     [BIB]

Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data
Samuel Li, Sudhanshu Sane, Leigh Orf, Pablo Mininni, John Clyne, and Hank Childs
IEEE Cluster 2017 (CLUSTER), Honolulu, HI, September 2017

[PDF]     [BIB]

Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data
Allison Baker, Haiying Xu, Dorit Hammerling, Samuel Li, and John Clyne,
The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1), Frankfurt, Germany, June 2017

[PDF]     [BIB]

Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives
Samuel Li, Nicole Marsaglia, Vincent Chen, Christopher Sewell, John Clyne, and Hank Childs
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Barcelona, Spain, June 2017

[PDF]     [BIB]

Evaluating the Efficacy of Wavelet Configurations on Turbulent-Flow Data
Samuel Li, Kenny Gruchalla, Kristi Potter, John Clyne, and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Chicago, IL, October 2015

[PDF]     [BIB]

Exploring Hierarchical Visualization Designs Using Phylogenetic Trees
Samuel Li, R. Jordan Crouser, Garth Griffin, Connor Gramazio, Hans-Jörg Schulz, Hank Childs, and Remco Chang
SPIE Visualization and Data Analysis (VDA), San Francisco, CA, February 2015
Best Paper Award

[PDF]     [BIB]