JPL Home Earth Solar System Stars and Galaxies Technology JPL Caltech NASA PAT PAT news PAT projects PAT people PAT publications Section 367 Division 36 PAT Sitemap


DANIEL
S.
KATZ

CONTACT

EDUCATION

PROJECTS

PROFESSIONAL ACTIVITIES

OTHER LINKS

.
picture of Dan DANIEL S. KATZ
Jet Propulsion Laboratory
California Institute of Technology
4800 Oak Grove Drive, MS 126-104
Pasadena, California 91109-8099
Phone: (818) 354-7359
Fax: (818) 393-6141
E-mail: Daniel.S.Katz@jpl.nasa.gov
or d.katz@ieee.org
Daniel S. Katz is the supervisor of the Parallel Applications Technologies group within the Exploration Systems Autonomy section (367) at the Jet Propulsion Laboratory (JPL), California Institute of Technology. Previous roles at JPL, which he joined in 1996, include: Applications Project Element Manager for the Remote Exploration and Experimentation (REE) Project, Senior Member of the Information Systems and Computer Sciences Staff in the Advanced Computing Discipline, 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.

His research interests include: numerical methods, algorithms, and programming applied to supercomputing, parallel computing, cluster computing, and embedded computing; and fault-tolerant computing. He received his B.S., M.S., and Ph.D degrees in Electrical Engineering from Northwestern University, Evanston, Illinois, in 1988, 1990, and 1994, respectively. His work is documented in numerous book chapters, journal and conference publications, and NASA Tech Briefs. He is a senior member of the IEEE, designed and maintained (until 2001) the original website for the IEEE Antenna and Propagation Society, and serves on the IEEE Task Force on Cluster Computing's Advisory Committee and the steering committee for the IEEE Cluster conference series.