All posts by Andrea Pappas

HPC Day Poster Session Winners

Thank you to all the students who participated in the HPC Day Poster Session. Our 2016 top three finishers include:

First Place: Bobby Hollingsworth

Computational Insights into Binding of a Repeat Unit of an Antiviral Copolymer to Glycoprotein 120 in Four Strains of HIV

Second Place: Mariam Umar, Sand L. Correa, Kirk W. Cameron

Energy and Performance Modeling and Estimation for ASPEN Domain Specific Language 

Third Place: Megan Richardson

Ayat Mohammed, ARC Viz GRA, presented at the Doctoral Consortium and Poster Session at 2016 IEEE VR Conference in Greenville, SC


Scientific Visualization has proven to be an effective means for analyzing multivariate multidimensional data (MVMD). A variety of techniques combining statistical and visual analytic tools have been developed in the recent years to analyze MVMD. Visual differencing, or visual discrimination, is the ability to compare an attribute value between two or more objects in a visualization. In this research, we are examining humans’ predictable bias in interpreting visual-spatial information for comparison and inference. We will develop and evaluate new techniques of data representation that support multivariate multidimensional visual differencing. We will also address the trade-off between proximity and occlusion and evaluate users’ ability to explore MVMD across the immersive spectrum.


ICAT supports ARC researchers developing interactive environment

Researchers supported by the Institute for Creativity, Arts, and Technology are developing an interactive 3-D environment that will bring together data from multiple research locations, including water quality data, to produce more comprehensive models and analytics for community ecosystem monitoring, targeting ongoing research activities at Stroubles Creek and the Catawba Sustainability Center.

Read more here.

VisCube study wins best paper award at the ICAT-EGVE Conference

Paper Title:
An Evaluation of the Effects of Hyper-Natural Components of Interaction Fidelity on Locomotion Performance in Virtual Reality


Mahdi Nabiyouni and Doug A. Bowman


A short description:
Hyper-natural interaction techniques are intentionally designed to enhance users’ abilities beyond what is possible in the real world. We compared such hyper-natural techniques to their natural counterparts on a wide range of locomotion tasks for a variety of measures. The results show that the effects of the hyper-natural transfer function was mostly positive, however, hyper-natural techniques designed to provide biomechanical assistance had lower performance and user acceptance than those based on natural walking movements.
Here is the link to the conference website: