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Personal profile

Biography

Professor Peter J. Stuckey
is a Professor in the Faculty of Information Technology
at Monash University, and project leader in
the Data61 CSIRO laboratory. Peter Stuckey is a
pioneer in constraint programming, the science of modelling
and solving complex combinatorial problems.
His research interests include:
discrete optimization; programming languages, in particular
declarative programing languages;
constraint solving algorithms;
bioinformatics;
and constraint-based graphics.
He enjoys problem solving in any area, having
publications in e.g. databases, timetabling, and system security,
and working with companies such as Oracle and Rio Tinto
on problems that interest them.

Peter Stuckey received a B.Sc and Ph.D both in Computer Science
from Monash University in 1985 and 1988 respectively.
In 2009 he was recognized as an ACM Distinguished Scientist. In
2010 he was awarded the Google Australia Eureka Prize for Innovation in
Computer Science for his work on lazy clause generation. He
was awarded the 2010 University of Melbourne Woodward Medal for most
outstanding publication in Science and Technology across the university.

Keywords

  • Constraint Programming
  • Discrete Optimization
  • Programming Languages
  • Logic Programming
  • Path Planning
  • Program Analysis and Transformation
  • Bioinformatics

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Research Output 2005 2018

Solver-independent large neighbourhood search

Dekker, J. J., de la Banda, M. G., Schutt, A., Stuckey, P. J. & Tack, G., 2018, Principles and Practice of Constraint Programming: 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings. Hooker, J. (ed.). Cham Switzerland: Springer, p. 81-98 18 p. (Lecture Notes in Computer Science ; vol. 11008 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

A novel approach to string constraint solving

Amadini, R., Gange, G., Stuckey, P. J. & Tack, G., 2017, Principles and Practice of Constraint Programming - 23rd International Conference CP 2017, Proceedings. Beck, C. (ed.). Cham Switzerland: Springer, Vol. 10416 . p. 3-20 18 p. (Lecture Notes in Computer Science; vol. 10416).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Context-sensitive dynamic partial order reduction

Albert, E., Arenas, P., De La Banda, M. G., Gómez-Zamalloa, M. & Stuckey, P. J., 2017, Computer Aided Verification : 29th International Conference, CAV 2017 Heidelberg, Germany, July 24–28, 2017, Proceedings, Part I. Majumdar, R. & Kunčak, V. (eds.). Berlin Germany: Springer, p. 526-543 18 p. (Lecture Notes in Computer Science ; vol. 10426 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

MiniZinc with strings

Amadini, R., Flener, P., Pearson, J., Scott, J. D., Stuckey, P. J. & Tack, G., 2017, Logic-Based Program Synthesis and Transformation : 26th International Symposium, LOPSTR 2016, Edinburgh, UK, September 6–8, 2016,Revised Selected Papers. Hermenegildo, M. V. & Lopez-Garcia, P. (eds.). Cham, Switzerland: Springer-Verlag London Ltd., p. 59-75 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10184 LNCS).

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Statistical Compression of Protein Folding Patterns for Inference of Recurrent Substructural Themes

Subramanian, R., Allison, L., Stuckey, P. J., de la Banda, M. G., Abramson, D., Lesk, A. M. & Konagurthu, A. S., 8 May 2017, Proceedings - DCC 2017, 2017 Data Compression Conference: 4 - 7 April 2017, Snowbird, Utah, USA. Bilgin, A., Marcellin, M. W., Serra-Sagrista, J. & Storer, J. A. (eds.). Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers, p. 340-349 10 p. 7923707. (Data Compression Conference. Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review