Purdue University

Senior AI Scientist

• hkashgar@purdue.edu
• Artificial Intelligence, Machine Learning, Data Science, Scientific Applications, Optimization

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] Eimer, Theresa, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede, Lars Kotthoff, Pieter Leyman, Matthias Feurer, Katharina Eggensperger, Kaitlin Maile, Tanja Tornede, Anna Kozak, Ke Xue, Marcel Wever, Mitra Baratchi, Damir Pulatov, Heike Trautmann, Haniye Kashgarani, and Marius Lindauer. "Best Practices for Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network".
• [2] Kashgarani, Haniye. "Dynamic Selection of Parallel Portfolio of Algorithms for Solving Combinatorial Problems". PhD Dissertation, University of Wyoming 2024
• [3] Kashgarani, Haniye, and Lars Kotthoff. "Automatic Parallel Portfolio Selection." In ECAI 2023, pp. 1215-1222. IOS Press, 2023.
• [4] 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.