Zoya Masih

Zoya has a Ph.D. in mathematics, and currently is doing her second Ph.D. under the supervision of Prof. Julian Kunkel in the field of computer science at GWDG in which she is working on HPC.

  • Machine learning
  • Deep learning
  • Mathematical problem solving
  • Monitoring/Analyzing parallel I/O

I/O performance behavior in HPC systemsApply

Improving I/O performance is critical for optimizing the overall efficiency of HPC systems. Enhanced I/O performance leads to faster data processing, which is crucial for AI workloads that require quick and efficient handling of large datasets. The thesis should be focused on Analyzing different I/O metrics, in HPC systems, and/or developing models to predict I/O performance, especially under AI workloads which are data-intensive and have unique I/O patterns. The ultimate goal is to improve the performance and reliability of HPC systems, making them more effective for advanced computational tasks, including AI applications.

  • On comparative results concerning the Grundy and b-chromatic number of graphs, Zoya Masih (PhD Thesis), Advisors: Manouchehr Zaker, 2021-10-12, BibTeX
  • Gröbner bases and combinatorics for binary codes, Zoya Masih (Master's Thesis), Advisors: Hossein Sabzrou, 2014-09-21, BibTeX
  • A Comparison of the Grundy and b-Chromatic Number of K2,t -Free Graphs (Zoya Masih, Manouchehr Zaker), In Graphs and Combinatorics, pp. 16, Springer Link, ISSN: 1435-5914, 2023-01-27 BibTeX URL DOI PDF
  • Some comparative results concerning the Grundy and b-chromatic number of graphs (Zoya Masih, Manouchehr Zaker), In Discrete Applied Mathematics, pp. 1-6, Elsevier, ISSN: 0166-218X, 2022-01-15 BibTeX URL DOI PDF
  • On Grundy and b-Chromatic Number of Some Families of Graphs: A Comparative Study (Zoya Masih, Manouchehr Zaker), In Graphs and Combinatorics (37), 2021-01-01 BibTeX URL DOI

All publications as BibTex

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