For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.

Prof. dr. S.I. (Ilker) Birbil

Professor of AI & Optimization Techniques for Business & Society
Faculty of Economics and Business
Section Business Analytics

Visiting address
  • Plantage Muidergracht 12
Postal address
  • Postbus 15953
    1001 NL Amsterdam
  • Publications

    2024

    • Maragno, D., Buti, G., Birbil, S. I., Liao, Z., Bortfeld, T. R., den Hertog, D., & Ajdari, A. (2024). Embedding machine learning based toxicity models within radiotherapy treatment plan optimization. Physics in Medicine and Biology. Advance online publication. https://doi.org/10.1088/1361-6560/ad2d7e
    • Maragno, D., Röber, T. E., Kurtz, J., Goedhart, R., Birbil, S. I., & den Hertog, D. (2024). Finding regions of counterfactual explanations via robust optimization. INFORMS Journal on Computing. Advance online publication. https://doi.org/10.1287/ijoc.2023.0153
    • Maragno, D., Wiberg, H., Bertsimas, D., Birbil, S. I., den Hertog, D., & Fajemisin, A. O. (2024). Mixed-Integer Optimization with Constraint Learning. Operations Research. Advance online publication. https://doi.org/10.1287/opre.2021.0707
    • Vogels, L. F. O., Schoonhoven, M., Mohammadi, A., & Birbil, S. I. (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2024.2395504
    • von Stackelberg, P. B., Goedhart, R., Birbil, S. I., & Does, R. J. M. M. (2024). Comparison of threshold tuning methods for predictive monitoring. Quality and Reliability Engineering International, 40(1), 499-512. https://doi.org/10.1002/qre.3436

    2023

    2022

    • Birbil, S. I., Yildirim, S., Gökalp, K., & Akyuz, M. H. (2022). Learning with Subset Stacking. Manuscript submitted for publication.
    • Dekker, R., Koot, P., Birbil, S. I., & van Embden Andres, M. (2022). Co-designing Algorithms for Governance: Ensuring Responsible and Accountable Algorithmic Management of Refugee Camp Supplies. Big Data & Society, 9(1), 1-15. https://doi.org/10.1177/20539517221087855 [details]
    • Julien, E., Postek, K., & Birbil, S. I. (2022). Machine Learning for K-adaptability in Two-Stage Robust Optimization. Manuscript submitted for publication.
    • Karaca, U., Birbil, S. I., Yildirim, S., Aydin, N., & Mullaoglu, G. (2022). Differential Privacy in Multi-Party Resource Sharing. Manuscript submitted for publication.
    • Kuru, N., Birbil, S. I., Gurbuzbalaban, M., & Yildirim, S. (2022). Differentially Private Accelerated Optimization Algorithms. SIAM Journal on Optimization, 32(2), 795-821. https://doi.org/10.1137/20M1355847
    • Lumadjeng, A. C., Röber, T. E., Akyuz, H., & Birbil, S. I. (2022). Rule Generation for Classification: Scalability, Interpretability, and Fairness. Manuscript submitted for publication.
    • Maragno, D., Röber, T. E., & Birbil, S. İ. (2022). Counterfactual Explanations Using Optimization With Constraint Learning. In OPT2022: Optimization for Machine Learning. Accepted papers OPT-ML. https://doi.org/10.48550/arXiv.2209.10997 [details]

    2022

    2021

    • Birbil, S. I. (Author), & Martin, O. (Author). (2021). Stochastic Model Building: SMB. Software, GitHub.
    • Birbil, S. I. (Author). (2021). Learning with Subset Stacking: LESS. Software, GitHub.

    Membership / relevant position

    Talk / presentation

    Others

    • Birbil, S. . (organiser), Romero Morales, D. (organiser), Rudin, C. (organiser), Fokkema, D. (organiser) & Akyuz, H. (participant) (17-10-2022 - 21-10-2022). Making Sense of Interpretable Machine Learning, Leiden (organising a conference, workshop, ...).
    • Birbil, S. . (examiner) (7-9-2022). Molding the Symbiosis Between Human and Machine (examination).
    • Birbil, S. . (examiner) (6-4-2022). Numerical Optimal Control of Open Channel Networks (examination).
    • Birbil, S. . (organiser) & Martin, O. (organiser) (26-3-2022 - 27-3-2022). Stochastic Optimization for Large-Scale Machine Learning, Istanbul (organising a conference, workshop, ...).
    • Birbil, S. . (chair) (24-3-2022). EURO WISDOM Forum YoungWomen4OR Talks: Data Science and Optimization Webinar (participating in a conference, workshop, ...).
    • Fajemisin, A. (participant), Maragno, D. (participant), den Hertog, D. (participant) & Birbil, S. . (participant) (22-2-2022 - 1-3-2022). 36th AAAI conference on Artificial Intelligence, Vancouver. Delivering two papers at the AI for Decision Optimization (AI4DO) workshop (participating in a conference, workshop, ...).
    • Birbil, S. . (organiser), Postek, K. (organiser) & den Hertog, D. (organiser) (29-9-2021). Machine Learning for Optimization (organising a conference, workshop, ...). https://optimal.uva.nl/content/events/events/2021/09/machine-learning-for-optimization-workshop.html
    • Birbil, S. . (organiser) (20-9-2021). Mathematics for Machine Learning, Izmir (organising a conference, workshop, ...). https://nesinkoyleri.org/events/2021-yapay-ogrenme-icin-matematik/

    2021

    • Fajemisin, A. O., Maragno, D., den Hertog, D., Birbil, S. I., Wiberg, H., & Bertsimas, D. (2021). Mixed-Integer Optimization with Constraint Learning. (Operations Research).

    2024

    • Vogels, L., Mohammadi, R., Schoonhoven, M. & Birbil, Ş. . (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison. Taylor & Francis. https://doi.org/10.6084/m9.figshare.26880600.v1
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
    • D4C - Data Science Consultants
      Adviser
    • D4C - Data Science Consultants
      Academic adviser for technical details of ongoing projects.
    • Centrum Wiskunde & Informatica
      Research associate for at most one day a week.