Damir Pulatov

Assistant Professor

Department of Computer Science

University of North Carolina Wilmington

@linkedin/dpulatov
@github/damirpolat

Publications and Talks

See more on Google Scholar.

2025

• Best Practices For Empirical Meta-Algorithmic Research Guidelines from the COSEAL Research Network
  Theresa Eimer, 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, Marius Lindauer.
  arXiv preprint arXiv:2512.16491.

• mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration
  Sebastian Fischer, John Zobolas, Raphael Sonabend, Marc Becker, Michel Lang, Martin Binder, Lennart Schneider, Lukas Burk, Patrick Schratz, Byron C Jaeger, Stephen A Lauer, Lorenz A Kapsner, Maximilian Mücke, Zezhi Wang, Damir Pulatov, Keenan Ganz, Henri Funk, Liana Harutyunyan, Pierre Camilleri, Philipp Kopper, Andreas Bender, Baisu Zhou, Niko German, Lona Koers, Anna Nazarova, Bernd Bischl.
  Journal of Open Source Software.

• Dude, Who’s Driving My Car? Detecting Familiar and Unfamiliar Drivers Using CAN Bus Data
  Avery Elizabeth Oxendine, Hosam Alamleh, Damir Pulatov.
  2025 10th International Conference on Smart and Sustainable Technologies (SpliTech), June 2025.

2024

• Beyond Regression and Classification
  Raphael Sonabend, Patrick Schratz and Damir Pulatov.
  CRC Press: In Bischl B, Sonabend R, Kotthoff L, Lang M, (Eds.), Applied Machine Learning Using mlr3 in R.
  https://mlr3book.mlr-org.com/chapters/chapter13/beyond_regression_and_classification.html

2022

• Opening the Black Box: Automated Software Analysis for Algorithm Selection
  Damir Pulatov, Marie Anastacio, Lars Kotthoff and Holger Hoos.
  1st International Conference on Automated Machine Learning, July 25 - July 27 2022, Baltimore, Maryland.

• How to write unit tests for your R code and why you should do it
  Damir Pulatov
  University of Wyoming, Data Science Center, February 2, 2022, Laramie, Wyoming.

• Opening the Black Box: Automated Software Analysis for Algorithm Selection
  Damir Pulatov, Marie Anastacio, Lars Kotthoff and Holger Hoos
  17th INFORMS Computing Society Conference 2022, January 25, 2022, Tampa, Florida.

2021

• Opening the Black Box: Automated Software Analysis for Algorithm Selection
  Damir Pulatov, Marie Anastacio, Lars Kotthoff and Holger Hoos.
  Doctoral Program of 27th International Conference on Principles and Practice of Constraint Programming, October 25-29, 2021, Remote.

• Porting IDL programs into Python for GPU-Accelerated In-situ Analysis
  Damir Pulatov, Bo Zhang, Supreeth Suresh, Cena Miller
  NCAR Poster Symposium, July 2021, Remote.

• Introduction to mlr3
  Damir Pulatov
  University of Wyoming, Data Science Center, February 17, 2021, Laramie, Wyoming.

2020

• Opening the Black Box: Automatically Characterizing Software for Algorithm Selection
  Damir Pulatov and Lars Kotthoff.
  AAAI Student Abstract (SA) at AAAI 2020, Honolulu, Hawaii.

2019

• Utilizing software features for algorithm selection
  Damir Pulatov and Lars Kotthoff.
  COSEAL Workshop, co-located with the 15th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms, 2019a, August 26-27, 2019, Potsdam, Germany

• Modelling Algorithmic Performance
  Damir Pulatov and Lars Kotthoff.
  Rocky Mountain Advanced Computing Consortium (RMACC), May 21-23, 2019, Boulder, Colorado.