LabCompass

Suren Byna

Computer Science · The Ohio State University

Mid career · publishing since 2003

Publications

228

Citations

3,328

Est. group size

~1

Recurring co-author estimate

Active years

24

Publishing since 2003

Research summary
AI-generated

Suren Byna works on high-performance computing (HPC) systems, focusing on how large-scale scientific data is stored, moved, and managed efficiently on supercomputers. Recent work applies this expertise to AI-related challenges, including assessing whether datasets are 'ready' for machine learning, using large language models to automatically tune I/O (input/output) performance, and building trustworthy, privacy-preserving data pipelines. Much of the work centers on tools and libraries like HDF5, a widely used format for storing scientific data.

Parallel I/O and storage systems for supercomputersScientific data management and file formats (e.g., HDF5)Data readiness and quality assessment for AI/machine learningAI-assisted performance tuning and diagnosis for HPC systemsData provenance, security, and trustworthy federated learning

Publication output has fluctuated but remained fairly steady over the past decade, with a peak around 2021-2022, a dip in 2023, and a rebound in 2024, averaging about 14 papers per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 13.6/year recently
2017: 6 publications172018: 18 publications182019: 16 publications192020: 14 publications202021: 22 publications212022: 24 publications24222023: 12 publications232024: 20 publications242025: 11 publications252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×14
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)×12
  • eScholarship (California Digital Library)×6
  • SpringerBriefs in computer science×5
  • Zenodo (CERN European Organization for Nuclear Research)×5
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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 19, 2026.

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