Computer Science @ University of St Andrews

University of St Andrews crest

Prof Ian Miguel

Prof Ian Miguel

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

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

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, 31-4 September. 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, 31-4 September. DOI: 10.1109/eScience.2015.54

Automatically generating streamlined constraint models with ESSENCE and CONJURE

Wetter, J, Akgün, Ö & Miguel, I 2015, Automatically generating streamlined constraint models with ESSENCE and CONJURE. 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9255, Springer International Publishing, pp. 480-496, 21st International Conference on the Principles and Practice of Constraint Programming, CP 2015, Cork, Ireland, 31-4 September. DOI: 10.1007/978-3-319-23219-5_34

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

Automatically improving constraint models in Savile Row through associative-commutative common subexpression elimination

Nightingale, P, Akguen, O, Gent, IP, Jefferson, C & Miguel, I 2014, Automatically improving constraint models in Savile Row through associative-commutative common subexpression elimination. in B OSullivan (ed.), Principles and Practice of Constraint Programming. Lecture Notes in Computer Science, vol. 8656, Springer International Publishing, Cham, pp. 590-605, 20th International Conference on the Principles and Practice of Constraint Programming (CP 2014), France, 8-12 September. DOI: 10.1007/978-3-319-10428-7_43

Generating custom propagators for arbitrary constraints

Qualitative modelling via constraint programming