About Current Students

The DIRS Laboratory typically has about 40 students researching topics in remote sensing at all levels: high school interns, BS, MS, and Ph.D. The majority of these students are pursuing degrees in Imaging Science. Here is a current list of the students working in the DIRS Lab and the research projects:

James Albano - hyperspectral target detection
Bikash Basnet -
Madhurima Bandyopadhyay -
Kelly Canham - hyperspectral archeology
May Casterline - remote sensing of ice and snow
Bin Chen - object recognition in urban enviroments
Jake Clements - advanced analyst exploitation environment
Javier Concha - in-water component retrieval
Monica Cook - Landsat surface temperature
Bo Ding -
Shea Hagstrom - volumetric analysis of LIDAR
Michael Harris - texture segmentation
Matt Heimbueger - nighttime persistent surveillance
Jared Herweg - pedestrian HSI phenomenology
Kim Horan -
Libby Hsiao -
David Kelbe - LIDAR assessment of ecological variables
James Letendre -
Sanjit Maitra - polarimetric SAR
Troy McKay - passive detection of heavy vehicle
Lingfei Meng - multi-modal sensor modeling
Ryan Mercovich - multi-spectral/multi-temporal remote sensing (DEFENDED)
David Nilosek - 3D model extraction
Nima Pahlevan - water quality mapping
Sarah Paul - unresolved target temperature estimation
Paul Romanczyk - extraction of biophysical structure
Shagah Sah -
Katie Salvaggio -3D reconstruction from oblique imagery
Jiangqin Sun - hyperspectral image simulation
Shaohui Sun - fusion of LIDAR, imagery and 3D reconstruction
Weihua Sun - extraction of road and building footprint
Jiashu Zhang - photon counting LIDAR simulation
Jie Zhang -
Ming Zhang -
Tingfang Zhang -
Amanda Ziemann - hyperspectral iimage analysis
Josh Zollweg -