Hi! I am a PhD candidate working in the
Visualization Lab in the Department
of Computer Science at the Stony
Brook University. My advisor is
Dr. Arie E. Kaufman . My primary research interests are volume
visualization and processing, volume rendering architectures, cluster systems,
memory and process scheduling algorithms for ray tracing, and memory management
of very large data sets. I am also interested in algorithms and
volume visualization applications such as medicine and scientific
visualization. Currently I am working on the
The Stony Brook Visual Computing Cluster.
We are developing a universal volume visualization system for
processing and rendering very large, dynamic scenes in real-time. Stony Brook is an inaugural member
of the
Scientific Visualization Collaboration
I have worked extensively with the
Hewlett-Packard and with TeraRecon
in an effort to stress the system using realistic
applications.We are testing this system with applications
in amorphous phenomena visualization, ray tracing, and massive volume
rendering. Massive volumes rendered on the cluster include the
Visible
Human and
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
This system is being implemented on top of OpenVL
- The Open Volume Library, for which I am a developer. For
more details see my Research
and Publications
pages and my Resume.