Alaittin Kirtisoglu

Alaittin Kirtisoglu

Ph.D. Candidate in Applied Mathematics · Illinois Institute of Technology

I'm a fifth-year Ph.D. student in Applied Mathematics at IIT, a member of the Discrete Applied Mathematics Group, and a Teaching Assistant. My research lies at the intersection of graph theory, algorithmic optimization, and computational methods for complex, data-driven problems in mathematics and applied sciences.

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Education

Illinois Institute of Technology Advisor: Hemanshu Kaul
Hacettepe University Supervisor: Lale Özkahya
Mustafa Kemal University

Research Experience

  • Developing computational frameworks leveraging graph-based models and optimization techniques to solve structured data problems.
  • Methods include algorithm design, simulation, and rigorous performance evaluation.

Worked with the Exa.TrkX project applying hierarchical graph neural networks for particle trajectory reconstruction in 3D detector data.

  • Defined a density-based hierarchical clustering algorithm to support downstream message-passing models.
  • Results contributed to more accurate particle identification for precision measurements in neutrino physics.

Publications

Peer-Reviewed

  1. Kirtisoglu, A., & Özkahya, L. (2024). Coloring of graphs avoiding bicolored paths of a fixed length. Graphs and Combinatorics, 40(1), 11.

In Preparation / In Progress

  1. Kirtisoglu, A., & Kaul, H. FalCom: A Sampling Method for Districting and Hierarchical Facility Location.
  2. Kirtisoglu, A., Kaul, H., & Erwin, K. Chicago Healthcare Network — Optimization-Based Decision Support for Equitable Access.
  3. Kirtisoglu, A. A Diffusion Model for Political Redistricting.
  4. Kirtisoglu, A., Boran, M., & Tural, M. UAV Routing for Maximum Information Collection under Time Windows.
  5. Kirtisoglu, A., Goel, S., Kaul, H., & Mellacheruvu, T. Bike-Share Stations: An Equity Analysis and Location Optimization.

Research Interests

  • Graph Theory and Combinatorics
  • Algorithm Design & Optimization
  • Computational Methods & Machine Learning for Structured Data
  • Equitable Network Design

Skills

Technical Python Graph Algorithms Optimization Libraries Data Analysis
Tools LaTeX Git Numerical Computing

Personal Interests

Outside academia, I enjoy playing Go, hiking, and reading broadly — activities that keep me curious and grounded.

Contact

Office Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL
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