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Bertram Ludäscher
PeerJ Reviewer
715 Points

Contributions by role

Reviewer 15
Editor 700

Contributions by subject area

Bioinformatics
Data Mining and Machine Learning
Data Science
Brain-Computer Interface
Databases
Digital Libraries
Graphics
Visual Analytics
Computer Networks and Communications
Distributed and Parallel Computing
Security and Privacy
World Wide Web and Web Science
Cryptography
Theory and Formal Methods
Emerging Technologies
Computational Biology
Scientific Computing and Simulation
Software Engineering

Bertram Ludäscher

PeerJ Reviewer

Summary

Professor, School of Information Sciences, University of Illinois Urbana-Champaign. Faculty affiliate National Center for Supercomputing Applications (NCSA) and Dept. of Computer Science. Director, Center for Informatics Research in Science & Scholarship (CIRSS). Previously Professor at the Dept. of Computer Science & Genome Center, UC Davis. MS in Computer Science from U Karlsruhe (KIT), PhD in Computer Science from U Freiburg (Germany). Research scientists at San Diego Supercomputer Center, UCSD until 2004.

Biodiversity Bioinformatics Computational Biology Computational Science Data Mining & Machine Learning Data Science Databases Digital Libraries Distributed & Parallel Computing Programming Languages Scientific Computing & Simulation Software Engineering Spatial & Geographic Information Systems Theory & Formal Methods World Wide Web & Web Science

Work details

Professor

University Illinois, Urbana-Champaign
https://ischool.illinois.edu/

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 3

Academic Editor on

September 17, 2018
Towards computational reproducibility: researcher perspectives on the use and sharing of software
Yasmin AlNoamany, John A. Borghi
https://doi.org/10.7717/peerj-cs.163
January 15, 2018
The Modern Research Data Portal: a design pattern for networked, data-intensive science
Kyle Chard, Eli Dart, Ian Foster, David Shifflett, Steven Tuecke, Jason Williams
https://doi.org/10.7717/peerj-cs.144
March 6, 2017
Computational testing for automated preprocessing: a Matlab toolbox to enable large scale electroencephalography data processing
Benjamin U. Cowley, Jussi Korpela, Jari Torniainen
https://doi.org/10.7717/peerj-cs.108