Publications

Search for publications at Department of Computer Science

Below you find a complete list of publications published and edited by scientists at the Department of Computer Science

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Sieczkowski, F., Svendsen, K., Birkedal, L. & Pichon-Pharabod, J. (2015). A separation logic for fictional sequential consistency. In J. Vitek (Ed.), Programming Languages and Systems : 24th European Symposiumon Programming, ESOP 2015 held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2015 (pp. 736-761). Springer. https://doi.org/10.1007/978-3-662-46669-8_30

Sieczkowski, F., Bizjak, A. & Birkedal, L. (2015). ModuRes: A Coq Library for Modular Reasoning About Concurrent Higher-Order Imperative Programming Languages. In C. Urban & X. Zhang (Eds.), Interactive Theorem Proving: 6th International Conference, ITP 2015, Nanjing, China, August 24-27, 2015, Proceedings (pp. 375-390). Springer. https://doi.org/10.1007/978-3-319-22102-1_25

Sieczkowski, F., Stepanenko, S., Sterling, J. & Birkedal, L. (2024). The Essence of Generalized Algebraic Data Types. Proceedings of the ACM on Programming Languages , 8(POPL), 695-723. https://doi.org/10.1145/3632866

Sidorenco, N., Oechsner, S. & Spitters, B. (2021). Formal security analysis of MPC-in-the-head zero-knowledge protocols. In Proceedings - 2021 IEEE 34th Computer Security Foundations Symposium, CSF 2021 (pp. 607-620). IEEE. https://doi.org/10.1109/CSF51468.2021.00050

Šidlauskas, D., Jensen, C. S. & Šaltenis , S. (2012). A comparison of the use of virtual versus physical snapshots for supporting update-intensive workloads. In Proceedings of the Eighth International Workshop on Data Management on New Hardware: DaMoN '12 (pp. 1-8). Association for Computing Machinery. https://doi.org/10.1145/2236584.2236585

Šidlauskas, D., Šaltenis, S. & Jensen, C. S. (2012). Parallel main-memory indexing for moving-object query and update workloads. In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (pp. 37-48 ). Association for Computing Machinery. https://doi.org/10.1145/2213836.2213842

Sidlauskas, D., Ross, K. A., Jensen, C. S. & Saltenis, S. (2011). Thread-Level Parallel Indexing of Update Intensive Moving-Object Workloads. Lecture Notes in Computer Science, 6849, 186-204. https://doi.org/10.1007/978-3-642-22922-0_12

Sidlauskas, D., Saltenis, S. & Jensen, C. S. (2014). Processing of extreme moving-object update and query workloads in main memory. V L D B Journal, 23(5), 817-841. https://doi.org/10.1007/s00778-014-0353-2

Sidlauskas, D. & Jensen, C. S. (2014). Spatial joins in main memory: Implementation matters! Proceedings of the VLDB Endowment, 8(1), 97-100. http://www.vldb.org/pvldb/vol8/p97-sidlauskas.pdf

Sidenmark, L., Clarke, C., Zhang, X., Phu, J. & Gellersen, H. (2020). Outline Pursuits: Gaze-assisted Selection of Occluded Objects in Virtual Reality. In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems Article 3376438 Association for Computing Machinery. https://doi.org/10.1145/3313831.3376438

Sidenmark, L., Potts, D., Bapisch, B. & Gellersen, H. (2021). Radi-Eye: Hands-Free Radial Interfaces for 3D Interaction using Gaze-Activated Head-Crossing. In CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths Article 740 Association for Computing Machinery. https://doi.org/10.1145/3411764.3445697

Sidenmark, L., Clarke, C., Newn, J., Lystbæk, M. N., Pfeuffer, K. & Gellersen, H. (2023). Vergence Matching: Inferring Attention to Objects in 3D Environments for Gaze-Assisted Selection. In CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Article 257 Association for Computing Machinery. https://doi.org/10.1145/3544548.3580685

Sidenmark, L., Lystbæk, M. N. & Gellersen, H. (2023). GE-Simulator: An Open-Source Tool for Simulating Real-Time Errors for HMD-based Eye Trackers. In S. N. Spencer (Ed.), Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (pp. 1-6). Article 8 Association for Computing Machinery. https://doi.org/10.1145/3588015.3588417

Sidenmark, L., Prummer, F., Newn, J. & Gellersen, H. (2023). Comparing Gaze, Head and Controller Selection of Dynamically Revealed Targets in Head-Mounted Displays. IEEE Transactions on Visualization and Computer Graphics, 29(11), 4740-4750. https://doi.org/10.1109/TVCG.2023.3320235

Shin, Y. (2018). External Memory Algorithms for Massive Terrains and Polygons. Århus Universitet.

Shin, S., Na, I. & Elmqvist, N. (2025). Drillboards: Adaptive Visualization Dashboards for Dynamic Personalization of Visualization Experiences. IEEE Transactions on Visualization and Computer Graphics. Advance online publication. https://doi.org/10.1109/TVCG.2025.3542606

Shi, Z., Mathur, U. & Pavlogiannis, A. (2024). Optimistic Prediction of Synchronization-Reversal Data Races. In Proceedings - 2024 ACM/IEEE 44th International Conference on Software Engineering, ICSE 2024: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (pp. 1-13). Article 134 Association for Computing Machinery. https://doi.org/10.1145/3597503.3639099

Sheng, Q. Z., Wang, G., Jensen, C. S. & Xu, G. (Eds.) (2012). Web Technologies and Applications: 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings. Springer. Lecture Notes in Computer Science Vol. 7235 https://doi.org/10.1007/978-3-642-29253-8

Sheng, Q. Z., Wang, G. & Jensen, C. S. (2012). Message from the Program Chairs. In Web Technologies and Applications: 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings (pp. VI). Springer. https://doi.org/10.1007/978-3-642-29253-8

Shapiro, D., Buscher, M., Ørbæk, P., Mogensen, P. H. & Christensen, M. (2005). Spatial Computing and Ambient Collaborative Environments for Design and Construction. In Proceedings of the 3rd international conference on innovation in architecture, engineering and construction (pp. 199-210)

Shao, J., Tan, Y., Gao, L., Yang, Q., Plant, C. & Assent, I. (2019). Synchronization-based clustering on evolving data stream. Information Sciences, 501, 573-587. https://doi.org/10.1016/j.ins.2018.09.035

Shaik, I. & Pol, J. V. D. (2021). Classical Planning as QBF without Grounding (extended version). (pp. 1-17). CoRR https://arxiv.org/abs/2106.10138

Shaik, I. & van de Pol, J. (2022). Classical Planning as QBF without Grounding. In A. Kumar, S. Thiebaux, P. Varakantham & W. Yeoh (Eds.), Proceedings of the 32nd International Conference on Automated Planning and Scheduling, ICAPS 2022 (pp. 329-337). AAAI Press. https://doi.org/10.1609/icaps.v32i1.19817

Shaik, I., Heisinger, M., Seidl, M. & Pol, J. V. D. (2023). Validation of QBF Encodings with Winning Strategies. Leibniz International Proceedings in Informatics, 271. https://doi.org/10.4230/LIPIcs.SAT.2023.24

Shaik, I. & van de Pol, J. (2023). Concise QBF Encodings for Games on a Grid (extended version). https://doi.org/10.48550/arXiv.2303.16949

Shaik, I., Mayer-Eichberger, V., van de Pol, J. & Saffidine, A. (2023). Implicit State and Goals in QBF Encodings for Positional Games (extended version). https://doi.org/10.48550/arXiv.2301.07345

Shaik, I. & van de Pol, J. (2023). Optimal Layout Synthesis for Quantum Circuits as Classical Planning. In 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) IEEE. https://doi.org/10.1109/ICCAD57390.2023.10323924

Shaik, I. (2023). Concise Encodings for Planning and 2-Player Games. Århus Universitet.

Shaik, I. & Van de Pol, J. (2024). Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors with 100+ Qubits. In S. Chakraborty & J.-H. R. Jiang (Eds.), 27th International Conference on Theory and Applications of Satisfiability Testing, SAT 2024 Article 26 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SAT.2024.26

Shaik, I. & Pol, J. V. D. (2024). Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation. In U. Endriss, F. S. Melo, K. Bach, A. Bugarin-Diz, J. M. Alonso-Moral, S. Barro & F. Heintz (Eds.), ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) (pp. 4207-4215). IOS Press. https://doi.org/10.3233/FAIA240993

S. Fitzgerald, J., Gorm Larsen, P., Tjell, S. & Verhoef, M. (2007). Validation Support for Distributed Real-Time Embedded Systems in VDM++. In Proceedings of the Tenth IEEE International Symposium on High Assurance Software Engineering (HASE 2007) (pp. 331-340). IEEE Computer Society Press.

Sergey, I. & Clark, D. (2012). A correspondence between type checking via reduction and type checking via evaluation. Information Processing Letters, 112(1-2), 13-20. https://doi.org/10.1016/j.ipl.2011.10.008

Sergey, I., Midtgaard, J. & Clarke, D. (2012). Calculating Graph Algorithms for Dominance and Shortest Path. Lecture Notes in Computer Science, 7342, 132-156. https://doi.org/10.1007/978-3-642-31113-0_8

Sergey, I., Devriese, D., Might, M., Midtgaard, J., Darais, D., Clarke, D. & Piessens, F. (2013). Monadic abstract interpreters. In H.-J. Boehm (Ed.), Proceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI '13 (pp. 399-410). Association for Computing Machinery. https://doi.org/10.1145/2491956.2491979

Seisenberger, M., ter Beek, M. H., Fan, X., Ferrari, A., Haxthausen, A. E., James, P., Lawrence, A., Luttik, B., van de Pol, J. & Wimmer, S. (2022). Safe and Secure Future AI-Driven Railway Technologies: Challenges for Formal Methods in Railway. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Practice - 11th International Symposium, ISoLA 2022, Proceedings (pp. 246-268). Springer. https://doi.org/10.1007/978-3-031-19762-8_20

Seinfeld, S., Feuchtner, T., Maselli, A. & Müller, J. (2021). User Representations in Human-Computer Interaction. Human-Computer Interaction, 36(5-6), 400-438. https://doi.org/10.1080/07370024.2020.1724790

Seinfeld, S., Feuchtner, T., Pinzek, J. & Müller, J. (2022). Impact of Information Placement and User Representations in VR on Performance and Embodiment. IEEE Transactions on Visualization and Computer Graphics, 28(3), 1545-1556. https://doi.org/10.1109/TVCG.2020.3021342

Seghier Ben, M. E. A., Truong, T. T., Feiler, C. & Höche, D. (2025). A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data. Results in Engineering, 25, Article 104417. https://doi.org/10.1016/j.rineng.2025.104417

Segal, S., Adi, Y., Pinkas, B., Baum, C., Ganesh, C. & Keshet, J. (2021). Fairness in the Eyes of the Data: Certifying Machine-Learning Models. In AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 926-935). Association for Computing Machinery. https://doi.org/10.1145/3461702.3462554

Sebastián-González, E., Dalsgaard, B., Sandel, B. S. & Guimarães, P. R. (2015). Macroecological trends in nestedness and modularity of seed-dispersal networks: Human impact matters. Global Ecology and Biogeography, 24(3), 293-303. https://doi.org/10.1111/geb.12270

Sciannamblo, M., Teli, M., Lyle, P. J. & Csíkszentmihályi, C. (2020). Infrastructuring the commons today, when STS meets ICT. Journal of Peer Production, (14).

Schwiegelshohn, C. & Sheikh-Omar, O. A. (2022). An Empirical Evaluation of k-Means Coresets. In S. Chechik, G. Navarro, E. Rotenberg & G. Herman (Eds.), 30th Annual European Symposium on Algorithms, ESA 2022 (pp. 84:1-84:17). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2022.84

Schwiegelshohn, C. (2023). Fitting Data on a Grain of Rice. In I. Chatzigiannakis & I. Karydis (Eds.), Algorithmic Aspects of Cloud Computing: 8th International Symposium, ALGOCLOUD 2023, Amsterdam, The Netherlands, September 5, 2023, Revised Selected Papers (pp. 1-8). Springer. https://doi.org/10.1007/978-3-031-49361-4_13

Schwarz, M. R. (2013). Design and Analysis of Web Application Frameworks. Datalogisk Institut, Aarhus Universitet.

Schwartzbach, M. I. (2003). Rapport om datalogi i gymnasiet. Undervisningsministeriet.

Schwartzbach, M. I. & Ball, T. (Eds.) (2006). PLDI '06: Proceedings of the ACM SIGPLAN 2006 Conference on Programming Language Design and Implementation. Society for Industrial and Applied Mathematics.

Schwartzbach, M. I. (2008). Design Choices in a Compiler Course or How to Make Undergraduates Love Formal Notation. In L. Hendren (Ed.), Compiler Construction: 17th International Conference, CC 2008, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2008, Budapest, Hungary, March 29 - April 6, 2008. Proceedings (pp. 1-15). Springer. https://doi.org/10.1007/978-3-540-78791-4_1

Schwartzbach, M. I. (1986). A Category Theoretic Analysis of Predicative Type Theory. Cornell University Press. http://ecommons.library.cornell.edu/bitstream/1813/6633/1/86-793.pdf

Schwartzbach, M. I. & Graf, S. (Eds.) (2000). Tools and Algorithms for Construction and Analysis of Systems: 6th International Conference, TACAS 2000 Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2000 Berlin, Germany, March 25 - April 2, 2000 Proceedings. Springer. Lecture Notes in Computer Science Vol. 1785 https://doi.org/10.1007/3-540-46419-0

Schwartzbach, M. I. & Palsberg, J. (1994). Object-Oriented Type Systems. John Wiley & Sons Ltd.

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Marianne Dammand Iversen

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