Computer Science @ University of St Andrews

University of St Andrews crest

Dr Ozgur Akgun

Dr Ozgur Akgun

Position: Research Fellow

Research profile

Email (@st-andrews.ac.uk): ozgur.akgun

Office: JC0.29 - Jack Cole Building, North Haugh

Phone: +44 (0)1334 46 3072

Home page: https://ozgur.host.cs.st-andrews.ac.uk

Recent Publications

Cloud benchmarking for maximising performance of scientific applications

Exploiting short supports for improved encoding of arbitrary constraints into SAT

Akgün, Ö, Gent, IP, Jefferson, CA, Miguel, IJ & Nightingale, PW 2016, Exploiting short supports for improved encoding of arbitrary constraints into SAT. in M Rueher (ed.), Principles and Practice of Constraint Programming: 22nd International Conference, CP 2016, Toulouse, France, September 5-9, 2016, Proceedings. Lecture Notes in Computer Science, vol. 9892, Springer, pp. 3-12, 22nd International Conference on Principles and Practice of Constraint Programming (CP 2016), Toulouse, France, 5-9 September. DOI: 10.1007/978-3-319-44953-1_1

Cloud-based e-Infrastructure for scheduling astronomical observations

Wetter, JP, Akgun, O, Barker, AD, Dominik, M, Miguel, IJ & Varghese, B 2015, Cloud-based e-Infrastructure for scheduling astronomical observations. in 2015 IEEE 11th International Conference on e-Science (e-Science) (2015). IEEE Computer Society, pp. 362-370, 11th IEEE International Conference on eScience, Munich, Germany, 31-4 September. DOI: 10.1109/eScience.2015.54

Cloud benchmarking for performance

Varghese, B, Akgun, O, Miguel, I, Thai, L & Barker, A 2014, Cloud benchmarking for performance. in 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014). IEEE, pp. 535-540. DOI: 10.1109/CloudCom.2014.28

Optimal deployment of geographically distributed workflow engines on the Cloud

Thai, L, Barker, A, Varghese, B, Akgun, O & Miguel, I 2014, Optimal deployment of geographically distributed workflow engines on the Cloud. in 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014). IEEE, pp. 811-816. DOI: 10.1109/CloudCom.2014.30

Breaking conditional symmetry in automated constraint modelling with CONJURE

Akgun, O, Gent, IP, Jefferson, C, Miguel, I & Nightingale, P 2014, Breaking conditional symmetry in automated constraint modelling with CONJURE. in T Schaub, G Friedrich & B O'Sullivan (eds), ECAI 2014. vol. 263, Frontiers in Artificial Intelligence and Applications, vol. 263, IOS Press, pp. 3-8. DOI: 10.3233/978-1-61499-419-0-3

Extensible Automated Constraint Modelling

Akgun, O, Miguel, IJ, Jefferson, CA, Frisch, AM & Hnich, B 2011, Extensible Automated Constraint Modelling. in Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence. AAAI Press, pp. 4-11, 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, San Francisco, United States, 7-11 August.