Daniel Orban
University of Minnesota · Computer Science and Engineering
Active 2016–2022
About
My research combines interaction techniques from the scientific visualization and visual analytics disciplines to study high-dimensional parameter spaces. I ask the question: 'How can we add intuition to complex high-dimensional systems using interactive visualization?' With the emergence of Virtual Reality (VR) and Augmented Reality (AR), perhaps soon it will be common practice for scientists and engineers to immerse themselves in their data, directly manipulating variables of interest. To solve these types of problems, I explore ensemble visualization, parameter space analysis, semantic interaction, uncertainty, immersive environments, remote visualization, and high performance computing.
Research topics
- Computer science
- Computer graphics (images)
- Human–computer interaction
- Physics
- Optics
Frequent coauthors
- 6 shared
Daniel F. Keefe
University of Minnesota
- 5 shared
Bethany Juhnke
- 4 shared
Divya Banesh
Los Alamos National Laboratory
- 4 shared
Francesca Samsel
Texas Advanced Computing Center
- 4 shared
Hakizumwami Birali Runesha
University of Chicago
- 4 shared
Arthur G. Erdman
University of Minnesota
- 4 shared
Cameron Tauxe
- 4 shared
Seth Johnson
University of Mississippi Medical Center
Similar researchers at University of Minnesota
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Daniel Orban
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup