Zoya Masih

Biography

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.

Research Interests

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

Teaching

Open Thesis Topics

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.

Theses

  • 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

Publications

2023

  • 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

2022

  • 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

2021

  • 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