Topic: Awards

Two LLNL-led teams received SciVis Test of Time awards at the 2022 IEEE VIS conference for papers that have achieved lasting relevancy in the field of scientific visualization.

Presented at the 2022 International Conference on Computational Science, the team’s research introduces metrics that can improve the accuracy of blood flow simulations.

Computer scientist Kathryn Mohror is among LLNL's recipients of the Department of Energy’s Early Career Research Program awards.

The latest issue of the Lab's Science & Technology Review magazine highlights Todd Gamblin among other EMCR Program awardees.

Winning the best paper award at PacificVis 2022, a research team has developed a resolution-precision-adaptive representation technique that reduces mesh sizes, thereby reducing the memory and storage footprints of large scientific datasets.

The American Indian Science and Engineering Society (AISES) Winds of Change magazine has named LLNL as one of the Top 50 STEM Workplaces in 2022. This marks the second consecutive year that LLNL has been honored as an organization setting the standard for indigenous STEM professionals.

LLNL's DMTS awards program offers advancement for scientific leaders who choose the research track over the management ladder. Read more about computational mathematician Rob Falgout.

The prize recognizes "broad and distinguished contributions to the field of algorithms research and development for parallel scientific and engineering computing."

The Oppenheimer Science and Energy Leadership Program has selected LLNL computer scientist Kathryn Mohror and materials scientist T. Yong Han as 2022 fellows.

The Department of Energy's Office of Science interviewed LLNL computer scientist Peter Lindstrom about his work since receiving the 2011 Early Career Award.

As Computing’s fifth Fernbach Fellow, postdoctoral researcher Steven Roberts will develop, analyze, and implement new time integration methods.

Lawrence Livermore National Lab has named Stefanie Guenther as Computing’s fourth Sidney Fernbach Postdoctoral Fellow in the Computing Sciences. This highly competitive fellowship is named after LLNL’s former Director of Computation and is awarded to exceptional candidates who demonstrate the potential for significant achievements in computational mathematics, computer science, data science, or scientific computing.

LLNL has named Will Pazner as the third Sidney Fernbach Postdoctoral Fellow in the Computing Sciences.

Greg Lee helps develop tools designed to boost performance and productivity of Livermore scientists.