Suren Byna
Professor, Computer Science and Engineering · College of Engineering · Ohio State University
Quick answer: Suren Byna is Professor, Computer Science and Engineering at Ohio State University. Suren Byna shows an active PhD hiring signal as of 2026-09-11.
⭐ While most of the positions in the lab are filled, the lab will be looking for exceptional students, who are interested in the areas of Data and metadata management, Storage and I/O, File systems, and Energy efficiency in HPC, Cloud, and Edge computing. If you are an outstanding student and interested in performing cutting-edge R&D in data management, please send your CV and transcript to Prof. By
Research interests
Prof. Byna's research interests span across many topics in scientific data management and analysis. These topics include parallel I/O, parallel file systems, next-generation data management systems, I/O libraries, file formats, data compression strategies, data movement performance characterization and tuning, performance data visualization, efficient scientific workflows, scientific metadata and provenance management strategies, energy-aware computing, and heterogeneous computing. He performs research in the areas of data quality, cybersecurity and trustworthiness of data, and AI readiness of data. He currently leads Department of Energy ASCR-funded projects on object-centric data management systems for next-generation HPC and cloud systems (Proactive Data Containers - PDC) and experimental and observational data management (EOD-HDF5). Software libraries developed by his teams distributed in the HPC-IO GitHub Organization.
Frequently asked questions
Is Suren Byna hiring PhD students at Ohio State University?
Yes. As of 2026-09-11, Suren Byna's faculty page shows a PhD hiring signal: While most of the positions in the lab are filled, the lab will be looking for exceptional students, who are interested in the areas of Data and metadata management, Storage and I/O, File systems, and.
What does Suren Byna research?
Prof. Byna's research interests span across many topics in scientific data management and analysis. These topics include parallel I/O, parallel file systems, next-generation data management systems, I/O libraries, file formats, data compression strategies, data movement performance characterization
Data last updated: 2026-09-11 · Source: phd-match.com faculty database.
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