Computer Science @ University of St Andrews

University of St Andrews crest

Prof Ian Miguel

Prof Ian Miguel

Director of Research

Position: Professor

Research profile

Email (@st-andrews.ac.uk): ijm

Office: JC0.20 - Jack Cole Building, North Haugh

Phone: +44 (0)1334 46 3248

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

Recent Publications

A review of literature on parallel constraint solving

A framework for constraint based local search using ESSENCE

Akgun, O, Attieh, SWA, Gent, IP, Jefferson, CA, Miguel, IJ, Nightingale, PW, Salamon, AZ, Spracklen, P & Wetter, JP 2018, A framework for constraint based local search using ESSENCE. in J Lang (ed.), Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, pp. 1242-1248, 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, Stockholm, Sweden, 13/07/18. DOI: 10.24963/ijcai.2018/173

Automatic generation and selection of streamlined constraint models via Monte Carlo search on a model lattice

Spracklen, P, Akgun, O & Miguel, IJ 2018, Automatic generation and selection of streamlined constraint models via Monte Carlo search on a model lattice. in J Hooker (ed.), Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings. Lecture Notes in Computer Science, Springer.

Metamorphic testing of constraint solvers

Akgun, O, Gent, IP, Jefferson, CA, Miguel, IJ & Nightingale, PW 2018, Metamorphic testing of constraint solvers. in J Hooker (ed.), Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings. Lecture Notes in Computer Science, Springer, 24th International Conference on Principles and Practice of Constraint Programming (CP 2018), Lille, France, 27/08/18.

Automatic discovery and exploitation of promising subproblems for tabulation

Akgun, O, Gent, IP, Jefferson, CA, Miguel, IJ, Nightingale, PW & Salamon, AZ 2018, Automatic discovery and exploitation of promising subproblems for tabulation. in J Hooker (ed.), Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings. Lecture Notes in Computer Science, Springer, 24th International Conference on Principles and Practice of Constraint Programming (CP 2018), Lille, France, 27/08/18.

Automatically improving constraint models in Savile Row

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, 5/09/16. DOI: 10.1007/978-3-319-44953-1_1

Automatically improving SAT encoding of constraint problems through common subexpression elimination in Savile Row

Nightingale, P, Spracklen, P & Miguel, IJ 2015, Automatically improving SAT encoding of constraint problems through common subexpression elimination in Savile Row. in G Pesant (ed.), Principles and Practice of Constraint Programming: 21st International Conference, CP 2015, Cork, Ireland, August 31 -- September 4, 2015, Proceedings. vol. 9255, Lecture Notes in Computer Science, vol. 9255, Springer, pp. 330-350, 21st International Conference on Principles and Practice of Constraint Programming (CP 2015), Cork, Ireland, 31/08/15. DOI: 10.1007/978-3-319-23219-5_23

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, 31/08/15. DOI: 10.1109/eScience.2015.54