Computational Scientist, Research Computing Center
Parmanand is a computational scientist at the Research Computing Center, with expertise in geospatial information sciences, remote sensing, and spatial statistics. Previously he has worked on population modeling and developing methods for dealing with spatial autocorrelation in a spatial data-mining context.
Parmanand holds a Bachelor of Architecture degree from the Indian Institute of Technology, Roorkee. He completed his Ph.D. in Geospatial Information Sciences in January 2015, at the University of Texas, Dallas, under the supervision of Dr. Daniel A. Griffith. His first postdoctoral appointment was with the Spatial Sciences Census Research group, under Dr. Nicholas Nagle, at the University of Tennessee. He investigated the spatial structure of the American population and to design optimal sampling and reporting units for census surveys. In his second postdoctoral appointment, he worked on the WorldPop project at the University of Louisville focusing on developing approaches for dealing with computational issues in high-resolution population mapping.