Trosolwg
Mae Dr Oliver Kullman yn Athro Cyswllt yn yr Adran Gyfrifiadureg ym Mhrifysgol Abertawe.
Dr Oliver Kullmann
Athro Cyswllt
Computer Science
408
Pedwerydd Llawr
Y Ffowndri Gyfrifiadol
Campws y Bae
Pedwerydd Llawr
Y Ffowndri Gyfrifiadol
Campws y Bae
Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig
Dolenni Ymchwil
Cyhoeddiadau
Uchafbwyntiau Ymchwil
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Kullmann, O. & Shukla, A. (2023). Transforming Quantified Boolean Formulas Using Biclique Covers. Tools and Algorithms for the Construction and Analysis of Systems (pp. 372-390). Springer Nature Switzerland
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Pantekis, F., James, P., & Kullmann, O. (2022). Scalable N-Queens Solving on GPGPUs via Interwarp Collaborations. In 2022 Tenth International Symposium on Computing and Networking (CANDAR)IEEE.
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Kullmann, O. & Zaikin, O. (2021). Projection Heuristics for Binary Branchings Between Sum and Product. In Theory and Applications of Satisfiability Testing – SAT 2021 (pp. 299-314). Springer International Publishing.
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Kullmann, O. & Shukla, A. (2019). Autarkies for DQCNF. In 2019 Formal Methods in Computer Aided Design (FMCAD) (pp. 179-183). IEEE.
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Mencía, C., Kullmann, O., Ignatiev, A., & Marques-Silva, J. (2019). On Computing the Union of MUSes. Lecture Notes in Computer Science (pp. 211-221). Springer International Publishing
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Abbasizanjani, H. & Kullmann, O. (2018). Minimal unsatisfiability and minimal strongly connected digraphs. In Theory and Applications of Satisfiability Testing - SAT 2018Springer Cham.
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Heule, M., Kullmann, O., & Biere, A. (2018). Cube-and-Conquer for Satisfiability. Handbook of Parallel Constraint Reasoning (pp. 31-59). Springer
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Heule, M. & Kullmann, O. (2017). Solving very hard problems: Cube-and-Conquer, a hybrid SAT solving method. In 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) (pp. 4864-4868). International Joint Conference on Artificial Intelligence (IJCAI).SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34731
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Heule, M. & Kullmann, O. (2017). The science of brute force. Communications of the ACM, 60(8), 70-79.
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Heule, M., Kullmann, O., & Marek, V. (2016). Solving and Verifying the Boolean Pythagorean Triples Problem via Cube-and-Conquer. In Theory and Applications of Satisfiability Testing – SAT 2016 (pp. 228-245). 19th International Conference, Bordeaux, France, July 5-8, 2016, Proceedings.
Holl Ymchwil
Erthyglau Cylchgronau
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Pantekis, F., James, P., Kullmann, O., O'Reilly, L., & James, P. (2024). Optimized massively parallel solving of N‐Queens on GPGPUs. Concurrency and Computation: Practice and Experience, 0
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Heule, M. & Kullmann, O. (2017). The science of brute force. Communications of the ACM, 60(8), 70-79.
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Ahmed, T., Kullmann, O., & Snevily, H. (2014). On the van der Waerden numbers. Discrete Applied Mathematics, 174, 27-51.
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Gwynne, M. & Kullmann, O. (2014). Generalising Unit-Refutation Completeness and SLUR via Nested Input Resolution. Journal of Automated Reasoning, 52(1), 31-65.
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Kullmann, O. & Zhao, X. (2013). On Davis–Putnam reductions for minimally unsatisfiable clause-sets. Theoretical Computer Science, 492, 70-87.
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Kullmann, O. (2011). Constraint satisfaction problems in clausal form II: Minimal unsatisfiability and conflict structure.. Fundamenta Informaticae, 109(1), 83-119.
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Kullmann, O. (2011). Constraint satisfaction problems in clausal form I: Autarkies and deficiency.. Fundamenta Informaticae, 109(1), 27-81.
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Kullmann, O. (2009). The OKlibrary: Introducing a "holistic" research platform for (generalised) SAT solving. Studies in Logic, 2(1), 20-53.SU Repository: https://cronfa.swan.ac.uk/Record/cronfa172
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Kullmann, O. (2006). The SAT 2005 solver competition on random instances. Journal on Satisfiability, Boolean Modeling and Computation, 2, 61-102.SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13744
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Kullmann, O. (2004). Upper and Lower Bounds on the Complexity of Generalised Resolution and Generalised Constraint Satisfaction Problems. Annals of Mathematics and Artificial Intelligence, 40(3/4), 303
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Kullmann, O. (2003). Lean clause-sets: generalizations of minimally unsatisfiable clause-sets. Discrete Applied Mathematics, 130(2), 209
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Fleischner, H., Kullmann, O., & Szeider, S. (2002). Polynomial-time recognition of minimal unsatisfiable formulas with fixed clause-variable difference. Theoretical Computer Science, 289(1), 503
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Kullmann, O. & Kullmann, O. (1999). New methods for 3-SAT decision and worst-case analysis. Theoretical Computer Science, 223(1-2), 1-72.
Penodau Llyfrau
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Kullmann, O. & Shukla, A. (2023). Transforming Quantified Boolean Formulas Using Biclique Covers. Tools and Algorithms for the Construction and Analysis of Systems (pp. 372-390). Springer Nature Switzerland
-
Mencía, C., Kullmann, O., Ignatiev, A., & Marques-Silva, J. (2019). On Computing the Union of MUSes. Lecture Notes in Computer Science (pp. 211-221). Springer International Publishing
-
Heule, M., Kullmann, O., & Biere, A. (2018). Cube-and-Conquer for Satisfiability. Handbook of Parallel Constraint Reasoning (pp. 31-59). Springer
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Kullmann, O. & Marques-Silva, J. (2015). Computing Maximal Autarkies with Few and Simple Oracle Queries. Theory and Applications of Satisfiability Testing -- SAT 2015 (pp. 138-155).
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Buening, H. & Kullmann, O. (2009). Chapter 11: Minimal satisfiability and autarkies. (pp. 339-401). IOS Press
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Kullmann, O. (2009). Chapter 7: Fundaments of branching heuristics. Handbook of Satisfiability (pp. 205-244). IOS Press
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Kullmann, O. (2008). Present and Future of Practical SAT Solving. Complexity of Constraints (pp. 283Springer
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Kullmann, O. (1997). Worst-case Analysis, 3-SAT Decision and Lower Bounds: Approaches for Improved SAT Algorithms. Satisfiability Problem: Theory and Applications (DIMACS Workshop March 11-13, 1996) (pp. 261-313). American Mathematical SocietySU Repository: https://cronfa.swan.ac.uk/Record/cronfa19385
Cyfraniadau Cynadleddau
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Pantekis, F., James, P., & Kullmann, O. (2022). Scalable N-Queens Solving on GPGPUs via Interwarp Collaborations. In 2022 Tenth International Symposium on Computing and Networking (CANDAR)IEEE.
-
Kullmann, O. & Zaikin, O. (2021). Projection Heuristics for Binary Branchings Between Sum and Product. In Theory and Applications of Satisfiability Testing – SAT 2021 (pp. 299-314). Springer International Publishing.
-
Kullmann, O. & Shukla, A. (2019). Autarkies for DQCNF. In 2019 Formal Methods in Computer Aided Design (FMCAD) (pp. 179-183). IEEE.
-
Abbasizanjani, H. & Kullmann, O. (2018). Minimal unsatisfiability and minimal strongly connected digraphs. In Theory and Applications of Satisfiability Testing - SAT 2018Springer Cham.
-
Heule, M. & Kullmann, O. (2017). Solving very hard problems: Cube-and-Conquer, a hybrid SAT solving method. In 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) (pp. 4864-4868). International Joint Conference on Artificial Intelligence (IJCAI).SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34731
-
Heule, M., Kullmann, O., & Marek, V. (2016). Solving and Verifying the Boolean Pythagorean Triples Problem via Cube-and-Conquer. In Theory and Applications of Satisfiability Testing – SAT 2016 (pp. 228-245). 19th International Conference, Bordeaux, France, July 5-8, 2016, Proceedings.
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Beyersdorff, O. & Kullmann, O. (2014). Unified Characterisations of Resolution Hardness Measures. In Theory and Applications of Satisfiability Testing – SAT 2014-187). International Conference on Theory and Applications of Satisfiability Testing: Springer.
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Gwynne, M. & Kullmann, O. (2014). On SAT Representations of XOR Constraints. In Language and Automata Theory and Applications-420). International Conference on Language and Automata Theory and Applications.
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Gwynne, M. & Kullmann, O. (2013). Generalising and Unifying SLUR and Unit-Refutation Completeness. In SOFSEM 2013: Theory and Practice of Computer Science. LCNS (pp. 220-232). Springer.
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Kullmann, O. & Zhao, X. (2012). On Davis-Putnam Reductions for Minimally Unsatisfiable Clause-Sets. In Theory and Applications of Satisfiability Testing – SAT 2012. LCNS (pp. 270-283).
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Heule, M., Kullmann, O., Wieringa, S., & Biere, A. (2011). Cube and Conquer: Guiding CDCL SAT Solvers by Lookaheads. In Hardware and Software: Verification and Testing (pp. 50-65). Springer.
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Kullmann, O. & Zhao, X. (2011). On Variables with Few Occurrences in Conjunctive Normal Forms. In Theory and Applications of Satisfiability Testing - SAT 2011 (pp. 33-46).
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Kullmann, O. (2010). Green-Tao Numbers and SAT. In Theory and Applications of Satisfiability Testing – SAT 2010 LCNS (pp. 352-362).
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Peschiera, C., Pulina, L., Tacchella, A., Bubeck, U., Kullmann, O., & Lynce, I. (2010). The Seventh QBF Solvers Evaluation (QBFEVAL’10). In Theory and Applications of Satisfiability Testing – SAT 2010 LCNS (pp. 237-250).
Llyfrau wedi'u Golygu
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Kullmann, O. (Ed.). (2009). Theory and Applications of Satisfiability Testing -- SAT 2009. Springer.SU Repository: https://cronfa.swan.ac.uk/Record/cronfa190
Goruchwyliaeth
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Singular DP-reduction and minimal unsatisfiability in boolean and non-boolean clause-sets (cyfredol)
PhDGoruchwyliwr arall: Dr Edwin Beggs -
General Solving Engines Lifting Search Techniques to be used in General Purpose Programming Language (cyfredol)
PhDGoruchwyliwr arall: Dr Monika Seisenberger -
Exploring the IC3 Algorithm to Improve the Siemens-Swansea Ladder Logic Verification Tool (dyfarnwyd 2023)
MResGoruchwyliwr arall: Prof Markus Roggenbach
Modiwlau a Addysgir
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CS-270 Algorithms
This module introduces students to the formal concepts of algorithms and data structures and will enable them to understand how the selection of different algorithms and data types affects the performance and efficiency of a program. Particular attention will be paid to the fundamental problems of searching, sorting, and graph traversal.
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CS-700 Logic and Computation Project
The research project will provide students with the opportunity of exploring a particular topic in computer science in some considerable depth. The project may involve the development of a software system in which case the student will experience the major phases of the life-cycle of a practical IT-project: Specification, design, implementation, testing, verification and validation. The project will enhance the students' competence in algorithm or system analysis, as well as informal and formal mathematical reasoning. It will give students an intellectual challenge to their abilities to learn new subjects without instruction and to further develop their abilities in literature researching, report writing, verbal presentation, project planning and time management.