Alaittin Kirtisoglu
Ph.D. in Applied Mathematics · Illinois Institute of Technology
I recently completed my Ph.D. in Applied Mathematics at IIT as a member of the Discrete Applied Mathematics Group, and will join NYU Grossman School of Medicine (CSTAR) as a Research Scientist working on organ allocation optimization. My research lies at the intersection of graph theory, algorithmic optimization, and computational methods for complex, data-driven problems in mathematics and applied sciences. Outside research, I play Go (1 dan amateur).
View CV (PDF) →Research Interests
- Optimization & Algorithm Design
- Graph Theory
- Resource Allocation
- Equitable Network Design
Education
Work Experience
Organ allocation optimization.
Worked with the Exa.TrkX project applying hierarchical graph neural networks for particle trajectory reconstruction in 3D detector data.
Fellowships & Awards
Professional Service
Publications
Peer-reviewed
- Kirtisoglu, A., & Özkahya, L. (2024). Coloring of graphs avoiding bicolored paths of a fixed length. Graphs and Combinatorics, 40(1), 11.
Preprint
- Kirtisoglu, A., & Kaul, H. FalCom: A Sampling Method for Districting and Hierarchical Facility Location.
Extended abstract accepted for talk at the International Symposium on Combinatorial Optimization (ISCO), 2026.
- Kirtisoglu, A., Boran, M., & Tural, M. UAV Routing for Maximum Information Collection under Time Windows.
In progress
- Kirtisoglu, A. A Diffusion Model for Political Redistricting.
- Kirtisoglu, A., & Kaul, H. Optimization-Based Decision Support for Equitable Expansion of Federally Qualified Health Centers in Chicago.