Haniye Kashgarani

Senior AI Scientist
Research Area
Prior to joing to RCAC team, my research area was in fields of machine learning, algorithm selection, and combinatorial optimization.
Education
- Ph.D. in Computer Science, University of Wyoming (2024)
- M.S. in Computer Science, University of Wyoming (2022)
- B.S. in Software Engineering, Shariaty Technical College of Tehran (2017)
Experiences
- Senior AI Scientist, Rosen Center for Advanced Computing (2025-Now)
- Senior Computational Scientist , Rosen Center for Advanced Computing (2024-2025)
- Graduate Research Assistant, University of Wyoming (2019-2024)
- Summer Intern in Parallel Computational Science (SIParCS) , National Center for Atmospheric Research (Summer of 2023)
- Summer Intern in Parallel Computational Science (SIParCS) , National Center for Atmospheric Research (Summer of 2022)
Publications
- [1] Kashgarani, Haniye. "Dynamic Selection of Parallel Portfolio of Algorithms for Solving Combinatorial Problems". PhD Dissertation, University of Wyoming 2024
- [2] Kashgarani, Haniye, and Lars Kotthoff. "Automatic Parallel Portfolio Selection." In ECAI 2023, pp. 1215-1222. IOS Press, 2023.
- [3] Kashgarani, Haniye, and Lars Kotthoff. "Is algorithm selection worth it? Comparing selecting single algorithms and parallel execution." In AAAI Workshop on Meta-Learning and MetaDL Challenge, pp. 58-64. PMLR, 2021.