Research

The actual workgroups  explore  central, modern and  attractive topics in computer science::

They are well embedded in the national and international societies, and participated in several larger research institutes, specially the Exzellenzcluster Cells in Motion, the Sonderforschungsbereich Molekulare kardiovaskuläre Bildgebung(MoBil) and the founding of the European Institute for Molecular Imaging (EIMI) and the Center for Nonlinear Science (CENOS).

Aside of the Institut für Informatik there are several other groups in the WWU with activities in research and teaching on computer science. Topics there belong mostly to the field of applied computer science,  like Wirtschaftsinformatik, Geoinformatik, Bioinformatik and medizinische Informatik:

We work together, many courses from these areas are eligible as interdisciplinary studies for the graduation in Master of Computer Science and thus allow in-depth insights into the applications of computer technology.

For an overview, see Alle Informatiken [de], or the menu "associated groups" on the  Informatik-Homepage.

 

  • Current Projects

    • CRC 1450 - Z01: Interactive and computational analysis of large multiscale imaging data ( – )
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Collaborative Research Centre | Project Number: SFB 1450/2, Z01
    • Tutor.AI (since )
      Own Resources Project
    • EXFP-MML – SPP 2363 - Subproject: Elucidating Fingerprints – Towards a Holistic Explanatory Toolbox for Molecular Machine Learning ( – )
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Priority Programme | Project Number: GL 349/15-1; JI 104/10-1
    • Clavicle-ML – Retrospective CT examinations of clavicular ossification - development of a clinical decision support system based on classical scale-based assessments and modern machine learning methodology to improve the validity and reliability of forensic age assessments ( – )
      Individual Granted Project: DFG - Individual Grants Programme | Project Number: LI 1530/31-1; SCHM 1609/8-1
    • Safe ILIAS – Safe Integration of Learning In Autonomous cyber-physical Systems ( – )
      Individual Granted Project: DFG - Individual Grants Programme | Project Number: HE 6733/5-1
    • HAPPI – HAPPI - Human-aware PGMs and Probabilistic Inference via Lifted Model Reconciliation ( – )
      Individual Granted Project: MKW - Förderlinie „Künstliche Intelligenz/Maschinelles Lernen“ - KI-Starter | Project Number: 005-2401-0004
    • E-Mobilität für LKWs - Prädiktive KI Modelle ( – )
      Individual Granted Project: MAN Truck & Bus SE
    • Trustworthy Interactive Visual Exploration of Multidimensional Data Using Projections ( – )
      Individual Granted Project: DFG - Individual Grants Programme | Project Number: MO 3050/2-3
    • VACS 2.0: Visual Analysis for Cohort Studies (Visual Analysis of Time-varying High-dimensional Heterogeneous and Incomplete Data with Application to Population-based Studies) ( – )
      Individual Granted Project: DFG - Individual Grants Programme | Project Number: LI 1530/23-3
    • SPP 2363 - Subproject: Neural fingerprints as structure and activity-sensitive molecular representations ( – )
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Priority Programme | Project Number: KO 4689/7-1; RI 2938/3-1
    • InterKI – Interdisziplinäres Lehrprogramm zu maschinellem Lernen und künstlicher Intelligenz ( – )
      Participation in Federally Funded Joint Project: Federal Ministry of Research, Technology and Space | Project Number: 16DHBKI049
    • Friends with benefits? A holistic approach to diffuse mutualism in plant-pollinator interactions ( – )
      Participation in other joint Project: HFSP - Research Grant - Program | Project Number: RGP0057/2021
    • STATE – SystemC to Timed Automata Transformation Engine (since )
      Own Resources Project
    • Applied IoT Data Analytics (since )
      Own Resources Project
    • Query Processing (since )
      Own Resources Project
    • Metric and Ptolemaic Access Methods (since )
      Own Resources Project
    • Similarity Search (since )
      Own Resources Project

  • Latest Publications

    • , , and . in Kürze. “CVKAN: Complex-valued Kolmogorov-Arnold Networks.” Preprint. in Proc. of IJCNN doi: 10.48550/arXiv.2502.02417.
    • , and . . “Symbolic Execution for Precise Information Flow Analysis of Timed Concurrent Systems.” in Software Engineering and Formal Methods. SEFM 2024, Vol. 15280 of Lecture Notes in Computer Science, edited by Madeira A. and Knapp A.. Heidelberg: Springer. doi: 10.1007/978-3-031-77382-2_7.
    • , , and . . “Formal Verification of Cyber-Physical Systems Using Domain-Specific Abstractions.” in Software Engineering and Formal Methods, edited by Alexandre Madeira and Alexander Knapp. Berlin: Springer Nature. doi: 10.1007/978-3-031-77382-2_1.
    • , , and . . “Automated Invariant Generation for Efficient Deductive Reasoning About Embedded Systems.” in Software Engineering and Formal Methods, edited by Alexandre Madeira and Alexander Knapp. Berlin: Springer Nature. doi: 10.1007/978-3-031-77382-2_23.
    • , , , , , and . in Kürze. “Approximate Lifted Model Construction.” in IJCAI-25 Proceedings of the 34th International Joint Conference on Artificial Intelligence
    • , and . . “Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference - A Work In Progress.” Preprint. arXiv
    • , , and . . “Local Hilbert-Schmidt stability.” Journal of Algebra, № 663 doi: 10.1016/j.jalgebra.2024.08.042.
    • , , , , , , , and . . “Rapid versus slow degeneration and complications of biomaterials in patients with congenital heart disease.” Cardiovascular Pathology, № 75 doi: 10.1016/j.carpath.2024.107712.
    • , , , , and . . “Towards Probabilistic Contracts for Intelligent Cyber-Physical Systems.” in Leveraging Applications of Formal Methods, Verification and Validation, Lecture Notes in Computer Science, edited by Tiziana Margaria and Bernhard Steffen. Heidelberg: Springer. doi: 10.1007/978-3-031-75380-0_3.
    • , , and . . “Towards Quantitative Analysis of Simulink Models Using Stochastic Hybrid Automata.” in Integrated Formal Methods. iFM 2024, Lecture Notes in Computer Science, edited by Nikolai Kosmatov and Laura Kovács. Berlin: Springer Nature. doi: 10.1007/978-3-031-76554-4_10.
    • , and . . “Symbolic state-space exploration meets statistical model checking.” Performance Evaluation, № 167 (102449) doi: 10.1016/j.peva.2024.102449.
    • , , , and . . “Rare Event Simulation for Stochastic Hybrid Systems Using Symbolic Importance Functions.” in NASA Formal Methods, Vol. 15682 of Lecture Notes in Computer Science (LNCS), edited by Aaron Dutle, Laura Humphrey and Laura Titolo. Heidelberg: Springer. doi: 10.1007/978-3-031-93706-4_15.
    • , , , , , , , , and . . “Phase-specific augmented reality guidance for microscopic cataract surgery using spatiotemporal fusion network.” Information Fusion, № 113: 102604.
    • , , , , , and . . “Optimising allocation of marketing resources among offline channel retailers: A bi-clustering-based model.” Journal of Business Research, № 186: 114914.
    • , and . in Kürze. “Evolutionary training set pruning for boosting interpolation kernel machines.” in Pattern Recognition Applications and Methods
    • , , , , , and . . “EEGCiD: EEG condensation into diffusion model.” IEEE Transactions on Automation Science and Engineering, № 22: 8502–8518.
    • , , , , , , , and . in Kürze. “Automatic segmentation of bone graft in maxillary sinus via distance constrained network guided by prior anatomical knowledge.” IEEE Journal of Biomedical and Health Informatics
    • , , , , and . . “Graph neural network based on graph kernel: A survey.” Pattern Recognition, № 161: 111307.
    • , and . . “Deep Learning meta architecture to detect spatially coherent coarse grain regions in ultrasonic data.” NDT and E International, № 153: 103342.
    • , , , , , and . . “Example dependent cost sensitive learning based selective deep ensemble model for customer credit scoring.” Scientific Reports, № 15 6000. doi: 10.1038/s41598-025-89880-7.
    • , , and . in Kürze. “Resistance distance guided node injection attack on graph neural networks.” in Prof. of GbR
    • , and . in Kürze. “Initializing complex-valued neural networks from their pretrained real-valued counterparts.” in Proc. of IJCNN

    • , , and . . “Uniform Sample Distribution in Scatterplots via Sector-based Transformation.” contribution to the IEEE Visualization and Visual Analytics (VIS), St. Pete Beach, Florida doi: 10.1109/VIS55277.2024.00039.
    • , , , , , , and . . “Interactive visual formula composition of multidimensional data classifiers.” Information Visualization doi: 10.1177/14738716241270288.
    • , , , and . . “Region-based Visualization in Hierarchically Clustered Ensemble Volumes.” contribution to the International Symposium on Vision, Modeling, and Visualization (VMV 2024), Munich doi: 10.2312/vmv.20241206.
    • , , , and . . “Interactive Visual Analysis of Spatial Sensitivities.” IEEE Transactions on Visualization and Computer Graphics: 1–15. doi: 10.1109/TVCG.2024.3433001.
    • , , , , , , and . “Exploring challenges of alarm root-cause analysis across varying production process types Herausforderungen der Alarm Root-Cause Analyse in verschiedenen Arten von Produktionsprozessen.” Automatisierungstechnik, № 72 (4): 369–386. doi: 10.1515/auto-2023-0180.
    • , , and . . “De-cluttering Scatterplots with Integral Images.” IEEE Transactions on Visualization and Computer Graphics: 1–13. doi: 10.1109/TVCG.2024.3381453.
    • , , , and . . “Recognizing Patterns in Productive Failure.” in Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, edited by Lina Battestilli, Samuel Rebelsky and Libby Shoop. New York, NY: ACM Press. doi: 10.1145/3626252.3630915.
    • , , , , , , , , , and . . “BaCO: A Fast and Portable Bayesian Compiler Optimization Framework.” in Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4, Vol. 4 of ASPLOS '23, edited by Association for Computing Machinery. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3623278.3624770.
    • , , , and . . “RealySt: A C++ Tool for Optimizing Reachability Probabilities in Stochastic Hybrid Systems.” in Performance Evaluation Methodologies and Tools, Vol. 539 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, edited by Evangelia Kalyvianaki and Marco Paolieri. Heidelberg: Springer. doi: 10.1007/978-3-031-48885-6_11.
    • Herber, Paula, and Wijs, Anton, eds. . Lecture Notes in Computer Science, 18th International Conference on integrated Formal Methods, {iFM} 2023 Heidelberg: Springer. doi: 10.1007/978-3-031-47705-8.
    • , , and . . “Reusable formal models for concurrency and communication in custom real-time operating systems.” International Journal on Software Tools for Technology Transfer, № 26 (2): 229–245. doi: 10.1007/S10009-024-00743-4.
    • , , , , , , , , , and . . Ernst Denert Software Engineering Award 2022, edited by E Bodden, M Felderer, W Hasselbring, P Herber, H Koziolek, C Lilienthal, F Matthes, L Prechelt, B Rumpe and I Schaefer. Berlin: Springer Nature. doi: 10.1007/978-3-031-44412-8_1.
    • , and . . “Towards Automated Security Hardening Using Timed Path Conditions in Shared Bus Systems.” in Leveraging Applications of Formal Methods, Verification and Validation. Software Engineering Methodologies - 12th International Symposium, ISoLA 2024, Crete, Greece, October 27-31, 2024, Proceedings, Part IV, Vol. 15222 of Lecture Notes in Computer Science, edited by Tiziana Margaria and Bernhard Steffen. Heidelberg: Springer. doi: 10.1007/978-3-031-75387-9_8.
    • , , and . . “Reusable Specification Patterns for Verification of Resilience in Autonomous Hybrid Systems.” in Formal Methods (FM), Lecture Notes in Computer Science, edited by André Platzer, Kristin Yvonne Rozier, Matteo Pradella and Matteo Rossi. Heidelberg: Springer. doi: 10.1007/978-3-031-71177-0_14.
    • , , , and . . “Improving Robustness of Satellite Image Processing Using Principal Component Analysis for Explainability.” in Proceedings of the 19th International Conference on Software Technologies (ICSOFT), edited by Hans-Georg Fill, Francisco José Dominguez Mayo, Marten van Sinderen and Leszek A. Maciaszek. Setúbal: SciTePress. doi: 10.5220/0012719500003753.
    • , , , and . . “Unsupervised Estimation of Subjective Content Descriptions in an Information System.” International Journal of Semantic Computing, № 18 (1): 51–75. doi: 10.1142/S1793351X24410034.
    • , , , and . . “ReFrESH – Relation-preserving Feedback-reliant Enhancement of Subjective Content Descriptions.” contribution to the ICSC-24 18th IEEE International Conference on Semantic Computing, Laguna Hills doi: 10.1109/ICSC59802.2024.00010.
    • , , , and . . “Colour Passing Revisited: Lifted Model Construction with Commutative Factors.” in AAAI-24 Proceedings of the 38th AAAI Conference on Artificial Intelligence, Vol. 38 of Proceedings of the AAAI Conference on Artificial Intelligence, edited by Michael Wooldridge, Jennifer Dy and Natarajan Sriraam. Palo Alto, CA: AAAI Press. doi: 10.1609/aaai.v38i18.30034.
    • , , and . . “An Extended View on Lifting Gaussian Bayesian Networks.” Artificial Intelligence, № 330 104082. doi: 10.1016/j.artint.2024.104082.
    • , , , and . . “Lifting in Support of Privacy-preserving Probabilistic Inference.” Künstliche Intelligenz, № 38 (3): 225–241. doi: 10.1007/s13218-024-00851-y.
    • Braun, Tanya, and Möller, Ralf, eds. .“AI in Healthcare and the Public Sector.” Special Issue Künstliche Intelligenz 3.
    • , and . . “Lessons from Resource-aware Machine Learning for Healthcare: An Interview with Katharina Morik.” Künstliche Intelligenz, № 38 (3): 243–248. doi: 10.1007/s13218-024-00839-8.
    • , , , , and . . “Lifted Causal Inference in Relational Domains.” in CLeaR-24 Proceedings of the 3rd Conference on Causal Learning and Reasoning, Vol. 236 of Proceedings of Machine Learning Research, edited by Francesco Locatello and Vanessa Didelez. online: MLResearchPress.
    • , and . . “AI in Healthcare and the Public Sector - Editorial.” Künstliche Intelligenz, № 38 (3): 115–117. doi: 10.1007/s13218-024-00852-x.
    • , and . . “Lifting Partially Observable Stochastic Games.” in SUM-24 Proceedings of the 16th International Conference on Scalable Uncertainty Management, edited by Sébastien Destercke, Maria Vanina Martinez and Giuseppe Sanfilippo. Berlin: Springer Nature. doi: 10.1007/978-3-031-76235-2_16.
    • , and . . “AI in Healthcare and the Public Sector: How to Face the Challenges of High-Risk Applications and What AI Research Can Get Out of It.” Künstliche Intelligenz, № 38 (3): 119–126. doi: 10.1007/s13218-024-00853-w.
    • , , , , , and . . “$DPM$: Clustering Sensitive Data through Separation.” Preprint. in CCS-24 Proceedings of the ACM SIGSAC Conference on Computer and Communications Security , edited by Bo Luo, Xiaojing Liao, Jun Xu, Engin Kirda and David Lie. New York, NY: ACM Press. doi: 10.1145/3658644.3690271.
    • , , , and . . “Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs.” in SUM-24 Proceedings of the 16th International Conference on Scalable Uncertainty Management, edited by Sébastien Destercke, Maria Vanina Martinez and Giuseppe Sanfilippo. Berlin: Springer Nature. doi: 10.1007/978-3-031-76235-2_20.
    • , , and . . “Efficient Adaptive Multiresolution Aggregations of Spatio-temporal Ensembles.” contribution to the EuroVis, Odense doi: 10.2312/pgv.20241128.
    • , and . . “A family of exotic group C*-algebras.” Advances in Mathematics, № 442 109594. doi: 10.1016/j.aim.2024.109594.
    • , , , and . . “Lipschitz harmonic functions on vertex-transitive graphs.” Electronic Communications in Probability, № 29 doi: 10.1214/24-ECP588.
    • , and . . “Virtually free groups are 𝑝-Schatten stable.” Proceedings of the American Mathematical Society, № 152 (01): 411–421. doi: 10.1090/proc/16411.
    • . . “Das systematische Vorgehen im Fokus.” in Wirksamer Informatikunterricht. Unterrichtsqualität: Perspektiven von Expertinnen und Experten, edited by Dennis Komm. Baltmannsweiler: Schneider Verlag Hohengehren.
    • , and . . “Optimal Offline ORAM with Perfect Security via Simple Oblivious Priority Queues.” in Proceedings of the 35th International Symposium on Algorithms and Computation (ISAAC 2024), LIPIcs - Leibniz International Proceedings in Informatics, edited by Julián Mestre and Anthony Wirth. Wadern: Dagstuhl Publishing. doi: 10.4230/LIPIcs.ISAAC.2024.55.
    • , , and . . “Adaptive Approximation of Persistent Homology.” Journal of Applied and Computational Topology, № 8 (8): 2327–2366. doi: 10.1007/s41468-024-00192-7.
    • Eickelmann, Birgit, Fröhlich, Nadine, Bos, Wilfried, Gerick, Julia, Goldhammer, Frank, Schaumburg, Heike, Schwippert, Knut, Senkbeil, Martin, and Vahrenhold, Janeds. . ICILS 2023 #Deutschland - Computer- und informationsbezogene Kompetenzen und Kompetenzen im Bereich Computational Thinking von Schüler*innen im internationalen Vergleich Münster: Waxmann. doi: 10.31244/9783830999492.
    • , , , , , , , , and . . “Die IEA-Studie ICILS 2023 - Informationen zur Anlage und Durchführung der Studie.” in ICILS 2023 #Deutschland - Computer- und informationsbezogene Kompetenzen und Kompetenzen im Bereich Computational Thinking von Schüler*innen im internationalen Vergleich, edited by Birgit Eickelmann, Nadine Fröhlich, Wilfried Bos, Julia Gerick, Frank Goldhammer, Heike Schaumburg, Knut Schwippert, Martin Senkbeil and Jan Vahrenhold. Münster: Waxmann. doi: 10.31244/9783830999492.01.
    • , , , , and . . “Kompetenzen im Bereich ,Computational Thinking' von Schüler*innen in Deutschland im zweiten internationalen Vergleich.” in ICILS 2023 #Deutschland - Computer- und informationsbezogene Kompetenzen und Kompetenzen im Bereich Computational Thinking von Schüler*innen im internationalen Vergleich, edited by Birgit Eickelmann, Nadine Fröhlich, Wilfried Bos, Julia Gerick, Frank Goldhammer, Heike Schaumburg, Knut Schwippert, Martin Senkbeil and Jan Vahrenhold. Münster: Waxmann. doi: 10.31244/9783830999492.08.

Older research reports of the Institute for Computer Science are part of the research reports of the WWU. So look for the report "Department of Mathematics and Computer Science" in the following documents and then for "Institute for Computer Science" to find the appropriate part: