Sam Schwartz

Ph.D. Student
CIS Department
University of Oregon

Office:203 Deschutes
E-mail:sam[at]cs[dot]uoregon[dot]edu
Web Page:http://schwartzstuff.com

Bio

Sam Schwartz is a PhD student in the Computing and Data Understanding at eXtreme Scale (CDUX) Lab in the Department of Computer and Information Science at the University of Oregon. Sam is advised by Dr. Hank Childs.

Sam's research interests include applying machine learning techniques to graphs, meshes, and scientific visualization. Applications of large scale data structuring and visualization range from ecological species modeling, fluid dynamics, medical imaging, and more.

Publications


An Entropy-Based Approach for Identifying User-Preferred Camera Positions
Nicole Marsaglia, Yuya Kawakami, Samuel D. Schwartz, Stefan Fields, and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), New Orleans, LA, October 2021

[PDF]     [BIB]

Machine Learning-Based Autotuning for Parallel Particle Advection
Samuel D. Schwartz, Hank Childs, and David Pugmire
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Zurich, Switzerland, June 2021

[PDF]     [BIB]