Kathleen Dejwakh
Computer Engineer, CERES Data Management Team Lead, Climate Science Branch, Science Directorate, NASA Langley Research Center
About
Dr. Kathleen Dejwakh currently facilitates Earth Science research by providing leadership in the domains of data management and processing. She also provides capacity building outreach through her association with the volunteer organization Software Carpentry and by instructing in Software Carpentry workshops for the Directorate and also non-NASA entities. Dr. Dejwakh’s research background is primarily in computer graphics (computational photography, shape and appearance parameter acquisition for photo-realistic rendering) and computational vision (relative speed detection by the human visual system). Between graduate school and work on the CERES science team, Dr. Dejwakh was a participant, team lead, and Nasa Postdoctoral Program fellow with the NASA DEVELOP Program, gaining skills in geospatial analysis
As the CERES Data Management Team (DMT) lead, Katie Dejwakh oversees data production, from software development to data distribution. In doing so, she ensures the integrity and availability of data products. Dr. Dejwakh coordinates with her team consisting of members with a wide-range of expertise.
The CERES Data Management Team (DMT) is responsible for testing and integration of CERES production software and for generating data products. The DMT ensures quality, validity, and availability of data products and associated documentation in support of public distribution of data products. All software used to produce CERES Level 1 – 3 data products is written, maintained and configured by the DMT. The DMT also maintains workflow automation and configuration management tools that facilitate data production
Education/Professional Experience
- Ph.D., Computer Science, College of William & Mary, 2016
- M.S., Computer Science, College of William & Mary, 2011
- B.A., Computer Science, minor Philosophy, College of the Holy Cross, 2009
Research Interest
Multispectral data capture, appearance acquisition, computer vision, and computer science pedagogy.
Publications
2016
Moore, Kathleen D. A Software Engineering Paradigm for Quick-turnaround Earth Science Data Projects. Abstract (IN23E-03) presented at 2016 AGU Fall Meeting, San Francisco, CA ,12-16 Dec.
2014
Dong, B., Moore K.D., Zhang, W., and Peers, P. Scattering parameters and surface normals from homogeneous translucent materials using photometric stereo, IEEE International Conference on Computer Vision and Pattern Recognition, June 2014. doi: 10.1109/CVPR.2014.294.
2013
Moore, K.D. and Peers, P. An empirical study on the effects of translucency on photometric stereo. The Visual Computer 2013. doi: 10.1007/s00371-013-0832-2.
2012
Royden, C.S. and Moore, K.D. Use of speed cues in the detection of moving objects by moving observers. Vision Research, 59, 17-24. doi: 10.1016/j.visres.2012.02.006.