Daniel S. Katz
Scholar

Daniel S. Katz

Google Scholar ID: 1I4dbdAAAAAJ
NCSA, CS, iSchool @ UIUC
Parallel and Distributed Software & ApplicationseScienceCyberinfrastructureSustainability
Citations & Impact
All-time
Citations
4,924
 
H-index
35
 
i10-index
76
 
Publications
20
 
Co-authors
173
list available
Resume (English only)
Academic Achievements
  • Numerous book chapters, journal and conference publications, and NASA Tech Briefs
  • Senior Member of IEEE and ACM
  • Co-founder and Associate Editor-in-Chief of the Journal of Open Source Software
  • Co-founder of the US Research Software Engineer Association (US-RSE)
  • Co-founder and Steering Committee Chair of the Research Software Alliance (ReSA)
Research Experience
  • Senior Fellow, Computation Institute (CI), University of Chicago & Argonne National Laboratory (2009–2016)
  • Guest Faculty, Argonne National Laboratory (2016–2021)
  • Program Director, Division of Advanced Cyberinfrastructure, NSF (2012–2016)
  • Director for Cyberinfrastructure Development, CCT, Louisiana State University (2006–2009)
  • Adjunct Associate Professor, LSU Department of Electrical and Computer Engineering (2006–2013)
  • Open Grid Forum Area Co-director for Applications (2010–2012)
  • TeraGrid GIG Director of Science (2008–2011)
  • Various roles at JPL (1996–2006), including Supervisor of Parallel Applications Technologies group and Area Program Manager of High End Computing
  • Computational Scientist at Cray Research / Silicon Graphics, on-site at JPL and Caltech (1993–1996), specializing in parallel computational electromagnetics
Background
  • Chief Scientist at the National Center for Supercomputing Applications (NCSA), University of Illinois Urbana-Champaign
  • Research Professor in the Siebel School of Computing and Data Science and the School of Information Sciences (iSchool) at UIUC
  • Better Scientific Software (BSSw) Fellow
  • Research interests focus on developing and using advanced cyberinfrastructure to solve challenging multi-scale problems
  • Technical research areas include applications, algorithms, fault tolerance, and programming in parallel and distributed computing (HPC, Grid, Cloud, etc.)
  • Also interested in policy issues such as citation/credit mechanisms for software and data, community collaboration practices, and career paths for computing researchers