Data-Driven Exploratory Interfaces for Contextualizing Parameter Spaces: Adding Intuition to Big Data | IV/LAB - Interactive Visualization Lab at the University of Minnesota

Data-Driven Exploratory Interfaces for Contextualizing Parameter Spaces: Adding Intuition to Big Data

Daniel Orban.

Ph.D. Thesis, University of Minnesota.

Tags:

#ensemble‑vis

#immersive‑vis

#xr‑user‑interfaces

#nsf‑bigdata

#dorban

#phdthesis

#2021

Reference

Orban, D.. 2021. Data-Driven Exploratory Interfaces for Contextualizing Parameter Spaces: Adding Intuition to Big Data. Ph.D. Thesis, University of Minnesota.

Downloads

Lab Members

Dan Orban, Ph.D.

Projects

BIGDATA: Coupling Data-Intensive Modeling, Simulation, and Visualization with Human Facilities for Design

Application to Next-Generation Medical Device Prototyping

Themes

Immersive Data Visualization

When should we walk inside our data?

Ensemble and Comparative Visualization

XR User Interfaces

Novel Spatial User Interfaces for 3D Modeling, Navigation, Selection, Manipulation, and More.