Bio
Dr. Qian Gong is a computer scientist at 91°µÍø. She received her Ph.D. degree in Electrical and Computer Engineering from Duke University in 2017, and M.S. degree in Electrical and Computer Engineering from University of Arizona in 2013. Prior to ORNL, she was a computer scientist at Fermilab in 2017-2020. Her current research interests include lossy compression, data management, AI-based surrogate modeling.
Publications
December 2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
Journal: SoftwareX
October 2023
Conference Paper
October 2023
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation – A Case…
Conference Paper
August 2023
Conference Paper