Dr. Daniel S. Katz
Dr. Daniel S. Katz is
Assistant Director for
Scientific Computing Systems and Software (SCSS)
in the
Center for Computation and Technology (CCT), and Associate
Research Professor in the Department of Electrical and Computer
Engineering at
Louisiana State University (LSU). He is also a
Faculty-Part-Time Principal at the
Jet Propulsion Laboratory (JPL),
California Institute of Technology (Caltech). Previous roles at JPL,
from 1996 to
2006, include: Principal Member of the Information Systems and Computer
Science Staff, Supervisor of the Parallel Applications Technologies
group, Area Program Manager of High End Computing in the Space Mission
Information Technology Office, Applications Project Element Manager for
the
Remote Exploration and Experimentation (REE) Project, and Team Leader
for
MOD Tool (a tool for the integrated design of microwave and
millimeter-wave instruments). From 1993 to 1996 he was employed by Cray
Research (and later by Silicon Graphics) as a Computational Scientist
on-site at JPL and Caltech, specializing in parallel implementation of
computational electromagnetic algorithms.
Dan’s research interests include: numerical methods, algorithms, and
programming applied to supercomputing, parallel computing,
cluster
computing, and
embedded computing, and
fault-tolerant computing.
He is a senior member
of the
IEEE, designed and maintained the original website
for the
IEEE Antennas and Propagation Society, and serves on the
IEEE
Technical Committee on Scalable Computing’s Executive Committee, the
IEEE
Technical Committee on Parallel Processing’s Executive Committee, and
the
steering committee for the
IEEE Cluster and
IEEE Grid conference
series.
He is on the Editorial Board of the
International Journal of Web Services Research
(JWSR),
International Journal of High Performance
Computing and Networking (IJHPCN), and
International Journal of Grid and Utility
Computing (IJGUC).
His publications include
The Montage Architecture for Grid-Enabled
Science Processing of Large, Distributed Datasets,
Pegasus: a Framework for Mapping Complex Scientific
Workflows onto Distributed Systems,
Grist: Grid-based Data Mining for Astronomy,
Software Fault Tolerance for Low-to-Moderate Radiation
Environments,
Ocean Modeling and Visualization on a Massively Parallel
Computer,
and
The Hypercube Implementation of the Finite-Difference Time-Domain (FD-TD)
Method for Electromagnetic Wave Scattering.
Dan earned his B.S.E.E. with department honors from
Northwestern
University in 1988. He earned his M.S.E.E. from Northwestern
University
in 1990 and his Ph.D. in Electrical Engineering from Northwestern
University in 1994.
He is a graduate of
Bellerive Elementary School
whose slogan is “Everybody is a Learner Everyday”.