Hi! I earned my PhD from the Department
of Computer Science at Stony
Brook University in
December 2008. My dissertation research focused on distributed memory visual computing systems, and was conducted under the supervision of Dr. Arie E. Kaufman in the Visualization Lab.
My primary research interests are high performance computing, real time systems, volume visualization, PC clusters, parallel and network flow algorithms, ray tracing, and distributed data memory management.
I started my career doing software development and system integration of the AN/ALQ161 system for AIL Systems Inc.
Currently I am teaching "Unix Operating Systems" at Farmingdale State College.
In addition to creating algorithms for several
NP-complete data management problems, I was involved in the procurement of the
Stony Brook Visual Computing Cluster, and in beta testing of the HP MDS Visualization Cluster.
In an effort to stress the system using realistic applications we have tested this system with applications
in amorphous phenomena visualization, ray tracing, and massive volume
rendering. Massive volumes rendered on the cluster include the
Korean Visible Human RGB data sets, several
teeth and fossil data sets from the
Stony Brook University Anthropology Department
, seismic data, and other medical data sets. See images from these data sets on
my Gallery Page.
For more details see my Research
pages and my CV.