Dr Ozgur Akgun

Dr Ozgur Akgun

Director of Impact

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

PhD supervision

  • Erdem Kus
  • Orhan Yazicilar
  • Andrew Schwabe
  • Orhan Yazicilar

Selected publications

  • Open access

    Solvi: a visual constraint modeling tool

     Zhu, X., Nacenta, M., Akgun, O. & Zenkovitch, D., Mar 2024, In: Journal of Computer Languages. 78, 12 p., 101242.

    Research output: Contribution to journal › Article › peer-review

  • Open access

    An approach to population linkage using graph databases

     Dearle, A., Kirby, G. N. C. & Akgun, O., 5 Jul 2023, p. 291-302. 12 p.

    Research output: Contribution to conference › Paper › peer-review

  • Open access

    Automated streamliner portfolios for constraint satisfaction problems

     Spracklen, J. L. P. J., Dang, N., Akgun, O. & Miguel, I. J., 1 Jun 2023, In: Artificial Intelligence. 319, 24 p., 103915.

    Research output: Contribution to journal › Article › peer-review

  • Open access

    CONJURE: Automatic Generation of Constraint Models from Problem Specifications (Extended Abstract)

     Akgün, Ö., Frisch, A. M., Gent, I. P., Jefferson, C., Miguel, I. & Nightingale, P., 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 6833-6838 6 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning When to Use Automatic Tabulation in Constraint Model Reformulation

     Cena, C., Akgün, Ö., Kiziltan, Z., Miguel, I., Nightingale, P. & Ulrich-Oltean, F., 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 1902-1910 9 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Composable constraint models for permutation enumeration

     Hoffmann, R., Akgun, O. & Jefferson, C. A., 29 Nov 2023, arXiv, 13 p.

    Research output: Working paper › Preprint

  • Open access

    Learning when to use automatic tabulation in constraint model reformulation

     Cena, C., Akgun, O., Kiziltan, Z., Miguel, I. J., Nightingale, P. & Ulrich-Oltean, F., 25 Aug 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023: Macao, SAR. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 1902-1910 9 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Open access

    A framework for generating informative benchmark instances

     Dang, N., Akgun, O., Espasa Arxer, J., Miguel, I. J. & Nightingale, P., 23 Jul 2022, 28th International Conference on Principles and Practice of Constraint Programming (CP 2022). Solon, C. (ed.). Dagstuhl: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 18 p. 18. (Leibniz International Proceedings in Informatics (LIPIcs); vol. 235).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Automatic tabulation in constraint models

     Akgün, Ö., Gent, I. P., Jefferson, C., Kiziltan, Z., Miguel, I., Nightingale, P., Salamon, A. Z. & Ulrich-Oltean, F., 26 Feb 2022, (Submitted) 51 p.

    Research output: Working paper › Preprint

  • Open access

    CONJURE: automatic generation of constraint models from problem specifications

     Akgun, O., Frisch, A. M., Gent, I. P., Jefferson, C., Miguel, I. J. & Nightingale, P., 1 Sept 2022, In: Artificial Intelligence. 310, 27 p., 103751.

    Research output: Contribution to journal › Article › peer-review

 

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