Adaptive Fusion of Stochastic Information for Subsurface Imaging of Fractured Vadose Zones
Grant Funded by NSF:
Science
and Engineering Information Integration and Informatics (SEIII)
Adaptive Fusion of Stochastic Information for Subsurface Imaging of Fractured Vadose Zones
Grant Funded by NSF:
Science
and Engineering Information Integration and Informatics (SEIII)
Students
Sami Eyuboglu, Post Doc, 2006-2007:
Contribution: Worked on FDTD Modeling Code
Current: Principle Scientist, Halliburton Research-Houston, USA, sami.eyuboglu@halliburton.com
Jennifer Holt:
Contribution: FDTD Modeling Code and IDL Interface
Degree: Ph.D., 2004
Current: National Geospatial Intelligence Agency, Washington, D.C., jennifer.j.holt@gmail.com
Kendra Pyke:
Contribution: FDTD Modeling Code
Degree: M.S., 2006
Current: Shell Oil Company, Houston, kendra.pyke@shell.com
Kyle Shalek:
Contribution: Helped collect GPR data for HGP sandbox experiments. Completed the processing and interpretation of the GPR data.
Current: Working on Ph.D. in Geophysics at The Ohio State University, shalek.4@osu.edu
