Dan Orban, Ph.D. | IV/LAB - Interactive Visualization Lab at the University of Minnesota

Dan Orban, Ph.D.

Ph.D. Program

#2014

‑

#2021

#phd‑student

Spotlights

Four Ph.D. student rockstars graduate from the IV/LAB during the pandemic!

Congratulations Seth, Dan, Volcano, and Jung!

Publications

2022

Book Chapters

Teaser image for Hybrid data constructs: Interacting with biomedical data in augmented spaces

Hybrid data constructs: Interacting with biomedical data in augmented spaces

Daniel F. Keefe, Bridger Herman, Jung Who Nam, Daniel Orban, and Seth Johnson. Making Data: Materializing Digital Information, edited by Ian Gwilt. Bloomsbury Visual Arts, London.

Tags:

#data‑physicalization

#nsf‑bigdata

#nsf‑sculpting‑vis

#dkeefe

#bherman

#jnam

#dorban

#sjohnson

#chapter

#2022

2021

Ph.D. Theses

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

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

2019

Journal and Conference Articles

Teaser image for Bento Box: An Interactive and Zoomable Small Multiples Technique for Visualizing 4D Simulation Ensembles in Virtual Reality

Bento Box: An Interactive and Zoomable Small Multiples Technique for Visualizing 4D Simulation Ensembles in Virtual Reality

Seth Johnson, Daniel Orban, Hakizumwami Birali Runesha, Lingyu Meng, Bethany Juhnke, Arthur Erdman, Francesca Samsel, and Daniel F. Keefe. Frontiers in Robotics and AI 6, 16 pages.

Tags:

#immersive‑vis

#ensemble‑vis

#nsf‑bigdata

#sjohnson

#dorban

#dkeefe

#top10

#article

#2019

Teaser image for Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space

Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space

Daniel Orban, Daniel F. Keefe, Ayan Biswas, James Ahrens, and David Rogers. IEEE Transactions on Visualization and Computer Graphics 25, 1, 256-266.

Tags:

#ensemble‑vis

#nsf‑bigdata

#dorban

#dkeefe

#article

#2019

2018

Posters

Teaser image for Poster: Comparison of Multiple Large Fluid-Structure Interaction Simulations in Virtual Reality

Poster: Comparison of Multiple Large Fluid-Structure Interaction Simulations in Virtual Reality

Daniel Orban, Seth Johnson, Hakizumwami Birali Runesha, Lingyu Meng, Bethany Juhnke, Arthur Erdman, Francesca Samsel, and Daniel F. Keefe.

Tags:

#ensemble‑vis

#immersive‑vis

#nsf‑bigdata

#dorban

#sjohnson

#dkeefe

#poster

#2018

2016

Posters

Teaser image for Poster: Inverse Design Process: New Methodology to Design Medical Devices with BIG DATA

Poster: Inverse Design Process: New Methodology to Design Medical Devices with BIG DATA

Bethany Tourek, Daniel Orban, Bogden Tanasoiu, Hakizumwami Birali Runesha, Daniel F. Keefe, and Arthur G. Erdman. Minnesota Supercomputing Institute Research Exhibition.

Tags:

#ensemble‑vis

#immersive‑vis

#nsf‑bigdata

#dorban

#dkeefe

#poster

#2016

Themes

Ensemble and Comparative Visualization

Projects

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

Application to Next-Generation Medical Device Prototyping