LabCompass

Matthew Anderson

Computer Science · Indiana University

OpenAlex ORCID
Distributed and Parallel Computing SystemsParallel Computing and Optimization TechniquesEmbedded Systems Design TechniquesAdvanced Data Storage TechnologiesCloud Computing and Resource Management

Publications

47

Citations

66

Est. group size

—

Recurring co-author estimate

Active years

29

Publishing since 1998

Research summary
AI-generated

Matthew Anderson works in computer systems, with a focus on high-performance and parallel computing—the design of large computer clusters, resource scheduling, and data storage. Recent work also spans applying machine learning and generative AI to tasks such as evaluating AI-generated code, analyzing imaging data (including radar and materials microstructure), and detecting attacks on cyber-physical systems.

High-performance and parallel computingCluster resource management and schedulingMachine learning and generative AI applicationsData storage and file systemsCyber-physical system security

Publication activity was low and intermittent through the late 2010s and early 2020s, then rose sharply in 2025, indicating a recent surge in output.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.6/year recently
2017: 2 publications172018: 5 publications182019: 1 publication192020: 1 publication2021222023: 2 publications232024: 3 publications242025: 18 publications18252026: 5 publications26
Recent publications
Publishes in
  • Elsevier eBooks×9
  • Zenodo (CERN European Organization for Nuclear Research)×6
  • Preprints.org×3
  • Bulletin of the American Physical Society×2
  • Scientific Reports×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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