Dr. Roba Binyahib

Ph.D. Graduate, March 2020
CIS Department
University of Oregon

Area Exam: [PDF]
Dissertation: [PDF]


Roba completed a PhD in Computer Science at the University of Oregon in March 2020. Roba's thesis focused on uncovering unsolved problems in parallel particle advection, as well as establishing best practices among existing algorithms. She also performed research outside her thesis on parallel volume rendering, culminating in a TVCG publication. Upon graduation, Roba joined the National Renewable Energy Laboratory in Golden, CO, as a post-doctoral researcher.

During her time at UO, Roba pursued multiple internships. She spent the summer of 2016 at Argonne National Laboratory, working with Dr. Tom Peterka, the summer of 2017 at Oak Ridge National Laboratory, working with Dr. David Pugmire, and the summer of 2018 at the National Renewable Energy Laboratory, working with Dr. Kenny Gruchalla.

Prior to joining UO, Roba was awarded the KAUST Discovery Scholarship to complete her M.Sc. in Computer Science at King Abdullah University of Science and Technology, Saudi Arabia. Her thesis was titled "Image-based Exploration of Isosurfaces for Large Multi-Variable Datasets using Parameter Space." She also worked at the Saudi oil company ARAMCO for a year, where her team received the CEO excellence award for their invention.

Honors and Awards
  • 2019: Best Paper Honorable Mention at LDAV
  • 2019: Passed UO Oral Candidacy Exam with Distinction
  • 2018: Awarded UO's J. Donald Hubbard Scholarship
  • 2014-2019: Awarded King Abdullah Scholarship

In Situ Particle Advection Via Parallelizing Over Particles
Roba Binyahib, David Pugmire, and Hank Childs
ISAV 2019: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization, Denver, CO, November 2019

[PDF]     [BIB]

A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection
Roba Binyahib, David Pugmire, Boyana Norris, and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Vancouver, Canada, October 2019
Best Paper Honorable Mention

[PDF]     [BIB]

A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data
Roba Binyahib, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, and Hank Childs
IEEE Transactions on Visualization and Computer Graphics, July 2019

[PDF]     [BIB]

External Facelist Calculation with Data-Parallel Primitives
Brent Lessley, Roba Binyahib, Rob Maynard, and Hank Childs
EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV), Groningen, The Netherlands, June 2016

[PDF]     [BIB]