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Uwe Egly

Ao.Univ.Prof. Dipl.-Ing. Dr.rer.nat.

Research Focus

  • Logic and Computation: 100%

Research Areas

  • Automated Reasoning, Knowledge Reprensentation and Reasoning

About

Research interests: proof theory and proof complexity, knowledge representation and reasoning, computational logic, satisfiability checking for QBFs (Quantified Boolean Formulas), argumentation and argumentation frameworks, algorithms for pathplanning and applications of AI methods in engineering.

Role

Contact

2022W

2023S

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2022

  • Implementations for Shor's algorithm for the DLP / Mandl, A., & Egly, U. (2022). Implementations for Shor’s algorithm for the DLP. In 52. Jahrestagung der Gesellschaft für Informatik (pp. 1133–1143). Gesellschaft für Informatik. https://doi.org/10.18420/inf2022_96

2021

2020

  • SAT and Interactions (Dagstuhl Seminar 20061) / Beyersdorff, O., Egly, U., Mahajan, M., & Nalon, C. (Eds.). (2020). SAT and Interactions (Dagstuhl Seminar 20061). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany. https://doi.org/10.4230/DagRep.10.2.1

2019

2018

  • Expansion-Based QBF Solving Without Recursion / Bloem, R., Braud-Santoni, N., Hadzic, V., Egly, U., Lonsing, F., & Seidl, M. (2018). Expansion-Based QBF Solving Without Recursion. In 2018 Formal Methods in Computer Aided Design (FMCAD). International Conference on Formal Methods in Computer-Aided Design (FMCAD), Portland, OR, USA, Non-EU. IEEE. https://doi.org/10.23919/fmcad.2018.8603004
  • Evaluating QBF Solvers: Quantifier Alternations Matter / Lonsing, F., & Egly, U. (2018). Evaluating QBF Solvers: Quantifier Alternations Matter. In Lecture Notes in Computer Science (pp. 276–294). Springer. https://doi.org/10.1007/978-3-319-98334-9_19
  • $${\textsf {QRAT}}^{+}$$: Generalizing QRAT by a More Powerful QBF Redundancy Property / Lonsing, F., & Egly, U. (2018). $${\textsf {QRAT}}^{+}$$: Generalizing QRAT by a More Powerful QBF Redundancy Property. In Automated Reasoning (pp. 161–177). LNCS. https://doi.org/10.1007/978-3-319-94205-6_12

2017

2016

  • Conformant Planning as a Case Study of Incremental QBF Solving / Egly, U., Kronegger, M., Lonsing, F., & Pfandler, A. (2016). Conformant Planning as a Case Study of Incremental QBF Solving. Annals of Mathematics and Artificial Intelligence, 80(1), 21–45. https://doi.org/10.1007/s10472-016-9501-2 / Project: Boolean
  • Translations from QBFs to First-order Logic / Egly, U. (2016). Translations from QBFs to First-order Logic. Deduktionstreffen, Klagenfurt, Austria. http://hdl.handle.net/20.500.12708/86444 / Project: Boolean
  • On Stronger Calculi for QBFs / Egly, U. (2016). On Stronger Calculi for QBFs. In Theory and Applications of Satisfiability Testing – SAT 2016 (pp. 419–434). Springer. https://doi.org/10.1007/978-3-319-40970-2_26 / Project: Boolean
  • Q-Resolution with Generalized Axioms / Lonsing, F., Egly, U., & Seidl, M. (2016). Q-Resolution with Generalized Axioms. In Theory and Applications of Satisfiability Testing – SAT 2016 (pp. 435–452). Springer. https://doi.org/10.1007/978-3-319-40970-2_27 / Project: Boolean

2015

2014

2013

2012

  • Detection of Windows in Facades Using Image Processing Algorithms / Miljanovic, M., Egly, U., & Eiter, T. (2012). Detection of Windows in Facades Using Image Processing Algorithms. Indian Journal of Computer Science and Engineering, 3(4), 539–547. http://hdl.handle.net/20.500.12708/164414
  • On sequent systems and resolution for quantified boolean formulas / Egly, U. (2012). On sequent systems and resolution for quantified boolean formulas. Dagstuhl Seminar 12471 - SAT Interactions, Dagstuhl, Deutschland, EU. http://hdl.handle.net/20.500.12708/85469 / Project: Boolean
  • A new learning scheme for QDPLL solvers / Egly, U. (2012). A new learning scheme for QDPLL solvers. Dagstuhl Seminar 12461: Games and Decisions for Rigorous Systems Engineering, Dagstuhl, Deutschland, EU. http://hdl.handle.net/20.500.12708/85468 / Project: Boolean
  • Complexity of logic-based argumentation in Schaefer's framework / Egly, U., Creignou, N., & Schmidt, J. (2012). Complexity of logic-based argumentation in Schaefer’s framework. In B. Verheij, S. Szeider, & S. Woltran (Eds.), Computational Models of Argument (pp. 237–248). IOS Press. http://hdl.handle.net/20.500.12708/54461 / Project: Boolean
  • On Sequent Systems and Resolution for QBFs / Egly, U. (2012). On Sequent Systems and Resolution for QBFs. In Theory and Applications of Satisfiability Testing – SAT 2012 (pp. 100–113). Lecture Notes in Computer Science, Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-31612-8_9 / Project: Boolean
  • Guided Merging of Sequence Diagrams / Widl, M., Biere, A., Kaufmann, P., Egly, U., Heule, M., Kappel, G., Seidl, M., & Tompits, H. (2012). Guided Merging of Sequence Diagrams. In K. Czarnecki & G. Hedin (Eds.), SLE 2012 - Pre-proceedings (pp. 163–182). http://hdl.handle.net/20.500.12708/54255 / Projects: Boolean, FAME
  • Towards Semantics-Aware Merge Support in Optimistic Model Versioning / Kaufmann, P., Egly, U., Gabmeyer, S., Kappel, G., Seidl, M., Tompits, H., Widl, M., & Wimmer, M. (2012). Towards Semantics-Aware Merge Support in Optimistic Model Versioning. In Models in Software Engineering (pp. 246–256). Springer LNCS. https://doi.org/10.1007/978-3-642-29645-1_24 / Projects: Boolean, FAME
  • Towards Scenario-Based Testing of UML Diagrams / Kaufmann, P., Egly, U., Gabmeyer, S., Kappel, G., Seidl, M., Tompits, H., Widl, M., & Wimmer, M. (2012). Towards Scenario-Based Testing of UML Diagrams. In Tests and Proofs (pp. 149–155). Springer. https://doi.org/10.1007/978-3-642-30473-6_12 / Projects: Boolean, FAME
  • A Framework for the Specification of Random SAT and QSAT Formulas / Creignou, N., Egly, U., & Seidl, M. (2012). A Framework for the Specification of Random SAT and QSAT Formulas. In Proceedings of the 6th International Conference on Tests and Proofs (TAP 2012) (pp. 163–168). Springer. http://hdl.handle.net/20.500.12708/54164 / Project: FAME

2011

2010

2009

2008

2007

2006

  • Phase Transition for Random Quantified XOR-formulas / Creignou, N., Daude, H., & Egly, U. (2006). Phase Transition for Random Quantified XOR-formulas. In Proceedings of the Guangzhou Symposioum on Satisfiability in Logic-Based Modeling (p. 12). http://hdl.handle.net/20.500.12708/51625
  • A Solver for QBFs in Nonprenex Form: Overview and Experimental Results / Egly, U., Seidl, M., & Woltran, S. (2006). A Solver for QBFs in Nonprenex Form: Overview and Experimental Results. In Proceedings of the Guangzhou Symposioum on Satisfiability in Logic-Based Modeling (p. 11). http://hdl.handle.net/20.500.12708/51624 / Project: ModelCVS
  • Reasoning in Argumentation Frameworks Using Quantified Boolean Formulas / Egly, U., & Woltran, S. (2006). Reasoning in Argumentation Frameworks Using Quantified Boolean Formulas. In P. E. Dunne & T. J. M. Bench-Capon (Eds.), Proceedings of the 1st International Conference on Computational Models of Argument (COMMA 2006) (pp. 133–144). IOS Press. http://hdl.handle.net/20.500.12708/51590
  • A Solver for QBFs in Nonprenex Form / Egly, U., Seidl, M., & Woltran, S. (2006). A Solver for QBFs in Nonprenex Form. In Proceedings of the ECAI 2006 (pp. 477–481). IOS Press. http://hdl.handle.net/20.500.12708/51448 / Project: ModelCVS

2005

  • On Deciding Subsumption Problems / Egly, U., Pichler, R., & Woltran, S. (2005). On Deciding Subsumption Problems. Annals of Mathematics and Artificial Intelligence, 43(1–4), 255–294. http://hdl.handle.net/20.500.12708/173345
  • Decision Making for MiroSOT Soccer Playing Robots / Egly, U., Novak, G., & Weber, D. (2005). Decision Making for MiroSOT Soccer Playing Robots. In Decision Making for MiroSOT Soccer Playing Robots (pp. 69–72). http://hdl.handle.net/20.500.12708/68833
  • A Smart Videometric System / Reiterer, A., Kahmen, H., Eiter, T., Egly, U., & Paar, G. (2005). A Smart Videometric System. In A. Grün & H. Kahmen (Eds.), Proceedings Optical 3-D Measurement Techniques VII, Vol. II (pp. 370–375). http://hdl.handle.net/20.500.12708/41914
  • A Knowledge-Based Decision System for an Image-Based Measurement / Reiterer, A., Egly, U., Eiter, T., & Kahmen, H. (2005). A Knowledge-Based Decision System for an Image-Based Measurement. In B. H. V. Topping (Ed.), Proceedings of the Eighth International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering (pp. 35–36). http://hdl.handle.net/20.500.12708/41891

2004

  • Argumentation Frameworks and QBFs / Egly, U. (2004). Argumentation Frameworks and QBFs. International Workshop on QSAT and SAT, Guangzhou, P.R. China, Austria. http://hdl.handle.net/20.500.12708/84320

2003

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.