Dr Ozgur Akgun

Dr Ozgur Akgun

Director of Impact

Senior Lecturer

Researcher profile

Phone
+44 (0)1334 46 3263
Email
ozgur.akgun@st-andrews.ac.uk

 

Teaching

I taught some of our core CS modules for first and second years:

  • CS1003 - Programming with Data
  • CS2003 - The Internet and the Web: Concepts and Programming

And honours & post-graduate level modules:

  • CS4402 - Constraint Programming
  • CS5929 - Discrete Optimisation
  • CS4303 - Video Games 
  • CS5001 - Object-Oriented Modelling, Design and Programming

I enjoy supervising students at various levels including undergraduate projects, masters dissertations, and PhD students. I am also leading a VIP (Vertically Integrated Projects) called "Artificial Intelligence for Decision Making". VIPs are ongoing projects that can be taken by students for several semesters. See the general VIP webpage for more details.

Research areas

My main research interest is Constraint Programming (CP). I have been working on the automated constraint modelling tool Conjure and on high-level modelling/reformulation research through Conjure. For more details about Conjure see GitHub: https://github.com/conjure-cp

I am also very interested in applications of CP to specific problems. I have worked on applications in areas including Computer Science (data mining, cloud computing, network science), Mathematics, Economics and Logistics.

I am interested in a variety of other things including programming languages research (especially functional programming), data linkage, algorithm selection & configuration, and the intersection of ML/statistics and CP.

Previous PhD students: Patrick Spracklen, Gökberk Koçak, Xu Zhu

Current PhD students: Erdem Kuş, Andrew Schwabe, Yiğit Yazıcılar

PhD supervision

  • Erdem Kus
  • Andrew Schwabe
  • Yigit Yazicilar

Selected publications

  • Open access

    Breaking the symmetries of indistinguishable objects

    Akgun, O., Chang, M. S., Gent, I. P. & Jefferson, C. A., 2025, Integration of constraint programming, artificial intelligence, and operations research: 22nd international conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, proceedings, Part I. Tack, G. (ed.). Cham: Springer, p. 152-168 (Lecture notes in computer science; vol. 15762).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Open access

    Composable constraint models for permutation enumeration

    Hoffmann, R., Akgun, O. & Jefferson, C., 22 Jan 2025, In: Discrete Mathematics & Theoretical Computer Science. 26, 1, 25 p.

    Research output: Contribution to journalArticlepeer-review

  • Open access

    Solver-aided expansion of loops to avoid generate-and-test

    Dewally, N. & Akgün, Ö., 11 Aug 2025, ModRef 2025 - The 24rd workshop on constraint modelling and reformulation (ModRef). p. 1-13 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Open access

    TabID: automatic identification and tabulation of subproblems in constraint models

    Akgun, O., Gent, I. P., Jefferson, C. A., Kiziltan, Z., Miguel, I. J., Nightingale, P., Salamon, A. Z. & Ulrich-Oltean, F., 30 Mar 2025, In: Journal of Artificial Intelligence Research. 82, p. 1999-2056 58 p.

    Research output: Contribution to journalArticlepeer-review

  • Toward cyclic A.I. modelling of self-regulated learning: a case study with e-learning trace data

    Schwabe, A., Akgün, Ö. & Haig, E., 25 Jun 2025, Thirty-second international conference on learning.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Open access

    Transformer-based feature learning for algorithm selection in combinatorial optimisation

    Pellegrino, A., Akgün, Ö., Dang, N., Kiziltan, Z. & Miguel, I., 8 Aug 2025, 31st international conference on principles and practice of constraint programming, CP 2025. de la Banda, M. G. (ed.). Saarbrücken/Wadern: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 1-22 22 p. 31. (Leibniz international proceedings in informatics, LIPIcs; vol. 340).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Open access

    Automated nogood-filtered fine-grained streamlining: a case study on covering arrays

    Yazicilar, O. Y., Akgun, O. & Miguel, I. J., 2 Sept 2024, ModRef 2024 - The 23rd workshop on constraint modelling and reformulation (ModRef). 18 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Open access

    Automatic feature learning for Essence: a case study on car sequencing

    Pellegrino, A., Akgün, Ö., Dang, N., Kiziltan, Z. & Miguel, I., 23 Sept 2024, ModRef 2024 - The 23rd workshop on Constraint Modelling and Reformulation (ModRef). 17 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Open access

    Cost-efficient training for automated algorithm selection

    Kus, E., Akgun, O., Dang, N. & Miguel, I. J., 9 Sept 2024, p. 1-17. 17 p.

    Research output: Contribution to conferencePaperpeer-review

  • Open access

    Frugal algorithm selection

    Kus, E., Akgun, O., Dang, N. & Miguel, I., 29 Aug 2024, 30th International Conference on Principles and Practice of Constraint Programming. Shaw, P. (ed.). Saarbrücken, Germany: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 16 p. 38. (Leibniz International Proceedings in Informatics (LIPIcs); vol. 307).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

 

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