Publications of PN 7

  1. 2023

    1. J. Rettberg et al., “Replication Data for: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar.” 2023. doi: 10.18419/darus-3248.
    2. D. Pfeifer, J. Scheid, J. Kneifl, and J. Fehr, “An improved development process of production plants using digital twins with extended dynamic behaviour in virtual commissioning and control – Simulation@Operations,” Proceedings in Applied Mathematics & Mechanics, 2023, doi: 10.1002/pamm.202300225.
    3. M. Millard, F. Kempter, N. Stutzig, T. Siebert, and J. Fehr, “Improving the Accuracy of Musculotendon Models for the Simulation of Active Lengthening,” in Proceedings of the IRCOBI Conference, in Proceedings of the IRCOBI Conference. Cambridge, UK, 2023.
    4. J. Kneifl, D. Rosin, O. Röhrle, and J. Fehr, “Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction.” arXiv, 2023. doi: 10.48550/ARXIV.2302.06528.
    5. F. Grioui and T. Blascheck, “Heart Rate Visualizations on a Virtual Smartwatch to Monitor Physical Activity Intensity,” in Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, in Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications, 2023. doi: 10.5220/0011665500003417.
    6. P. Gebhardt et al., “Auxiliary Means to Improve Motion Guidance Memorability in Extended Reality,” in 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), in 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). Mar. 2023, pp. 689–690. doi: 10.1109/VRW58643.2023.00187.
    7. N. Fahse, F. Kempter, S. Maier, M. Roller, M. Millard, and J. C. Fehr, “Dynamic Human Body Models in Vehicle Safety : an Overview,” pp. 1–33, 2023, doi: 10.1002/gamm.202300007.

  2. 2022

    1. B. Weder, J. Barzen, F. Leymann, and D. Vietz, “Quantum Software Development Lifecycle,” in Quantum Software Engineering, M. A. Serrano, R. Pérez-Castillo, and M. Piattini, Eds., in Quantum Software Engineering. Springer International Publishing, 2022, pp. 61--83. doi: 10.1007/978-3-031-05324-5_4.
    2. B. Weder, J. Barzen, M. Beisel, and F. Leymann, “Analysis and Rewrite of Quantum Workflows: Improving the Execution of Hybrid Quantum Algorithms,” in Proceedings of the 12th International Conference on Cloud Computing and Services Science (CLOSER 2022), in Proceedings of the 12th International Conference on Cloud Computing and Services Science (CLOSER 2022). SciTePress, Apr. 2022, pp. 38--50. doi: 10.5220/0011035100003200.
    3. J. Rettberg et al., “Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar.” 2022. doi: https://doi.org/10.48550/arXiv.2203.10061.
    4. S. Oppold and M. Herschel, “Provenance-based explanations: are they useful?,” in International Workshop on the Theory and Practice  of Provenance (TAPP), in International Workshop on the Theory and Practice  of Provenance (TAPP). 2022, pp. 2:1--2:4. doi: 10.1145/3530800.3534529.
    5. D. Lieb, “Advanced neural network architectures for continuum biomechanical simulation surrogates.” 2022.
    6. J. Kneifl, J. Hay, and J. Fehr, “Human Occupant Motion in Pre-Crash Scenario.” 2022. doi: 10.18419/darus-2471.
    7. P. Gebhardt, X. Yu, A. Köhn, and M. Sedlmair, “MolecuSense: Using Force-Feedback Gloves for Creating and Interacting with Ball-and-Stick Molecules in VR,” in Proceedings of the 15th International Symposium on Visual Information Communication and Interaction, in Proceedings of the 15th International Symposium on Visual Information Communication and Interaction. Chur, Switzerland: Association for Computing Machinery, Oct. 2022, pp. 1–5. doi: 10.1145/3554944.3554956.

  3. 2021

    1. B. Weder, J. Barzen, F. Leymann, M. Salm, and K. Wild, “QProv: A provenance system for quantum computing,” IET Quantum Communication, vol. 2, no. 4, Art. no. 4, Jun. 2021, doi: 10.1049/qtc2.12012.
    2. B. Weder, J. Barzen, F. Leymann, and M. Salm, “Automated Quantum Hardware Selection for Quantum Workflows,” Electronics, vol. 10, no. 8, Art. no. 8, Apr. 2021, doi: 10.3390/electronics10080984.
    3. M. Salm, J. Barzen, F. Leymann, B. Weder, and K. Wild, “Automating the Comparison of Quantum Compilers for Quantum Circuits,” in Proceedings of the 15th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2021), in Proceedings of the 15th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2021). Springer, 2021, pp. 64–80. doi: 10.1007/978-3-030-87568-8_4.
    4. J. Kühnert, D. Göddeke, and M. Herschel, “Provenance-integrated parameter selection and optimization in numerical simulations,” in International Workshop on the Theory and Practice of Provenance (TAPP), in International Workshop on the Theory and Practice of Provenance (TAPP). USENIX Association, 2021.
    5. K. Képes, F. Leymann, B. Weder, and K. Wild, “SiDD: The Situation-Aware Distributed Deployment System,” in Service-Oriented Computing  -- ICSOC 2020 Workshops, H. Hacid, F. Outay, H. Paik, A. Alloum, M. Petrocchi, M. R. Bouadjenek, A. Beheshti, X. Liu, and A. Maaradji, Eds., in Service-Oriented Computing  -- ICSOC 2020 Workshops. Springer International Publishing, 2021, pp. 72--76.
    6. J. Kneifl, D. Grunert, and J. Fehr, “A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning,” International Journal for Numerical Methods in Engineering, Apr. 2021, doi: 10.1002/nme.6712.
    7. J. Kneifl and J. Fehr, “Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics,” PAMM, vol. 20, no. S1, Art. no. S1, Mar. 2021, doi: 10.1002/pamm.202000353.
    8. F. Kempter, C. Kleinbach, M. Staudenmeyer, and J. Fehr, “An Active Female Human Body Model for Simulation of Rear-End Impact Scenarios,” in Proceedings in Applied Mathemathics and Mechanics, in Proceedings in Applied Mathemathics and Mechanics. 2021. doi: 10.1002/pamm.202000068.
    9. F. Grioui and T. Blascheck, Study of Heart Rate Visualizations on a Virtual Smartwatch. in Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology. ACM, 2021. doi: https://doi.org/10.1145/3489849.3489913.
    10. J. Fehr, C. Himpe, S. Rave, and J. Saak, “Sustainable Research Software Hand-Over,” Journal of Open Research Software, vol. 9, no. 5, Art. no. 5, 2021, doi: 10.5334/jors.307.
    11. R. Diestelkämper, S. Lee, M. Herschel, and B. Glavic, “To not miss the forest for the trees - A holistic approach for explaining missing answers over nested data,” in In Proceedins of the ACM SIG Conference on the Management of Data (SIGMOD), in In Proceedins of the ACM SIG Conference on the Management of Data (SIGMOD). 2021.

  4. 2020

    1. M. Zimmermann, U. Breitenbücher, K. Képes, F. Leymann, and B. Weder, “Data Flow Dependent Component Placement of Data Processing Cloud Applications,” in 2020 IEEE International Conference on Cloud Engineering (IC2E), in 2020 IEEE International Conference on Cloud Engineering (IC2E). Apr. 2020, pp. 83–94. doi: 10.1109/IC2E48712.2020.00016.
    2. X. Yu, K. Angerbauer, P. Mohr, D. Kalkofen, and M. Sedlmair, “Perspective Matters: Design Implications for Motion Guidance in Mixed Reality,” in Proceedings of the IEEE 19th International Symposium on Mixed and Augmented Reality, in Proceedings of the IEEE 19th International Symposium on Mixed and Augmented Reality. 2020.
    3. K. Wild, U. Breitenbücher, K. Képes, F. Leymann, and B. Weder, “Decentralized Cross-Organizational Application Deployment Automation: An Approach for Generating Deployment Choreographies Based on Declarative Deployment Models,” in Proceedings of the 32nd Conference on Advanced Information Systems Engineering (CAiSE 2020), in Proceedings of the 32nd Conference on Advanced Information Systems Engineering (CAiSE 2020), vol. 12127. Springer International Publishing, Jun. 2020, pp. 20--35. doi: 10.1007/978-3-030-49435-3_2.
    4. B. Weder, U. Breitenbücher, K. Képes, F. Leymann, and M. Zimmermann, “Deployable Self-Contained Workflow Models,” in Proceedings of the 8th European Conference on Service-Oriented and Cloud Computing (ESOCC 2020), in Proceedings of the 8th European Conference on Service-Oriented and Cloud Computing (ESOCC 2020). Springer International Publishing, Mar. 2020, pp. 85--96. doi: 10.1007/978-3-030-44769-4_7.
    5. B. Weder, J. Barzen, F. Leymann, M. Salm, and D. Vietz, “The Quantum Software Lifecycle,” in Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software (APEQS 2020), in Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software (APEQS 2020). ACM, Nov. 2020, pp. 2--9. doi: 10.1145/3412451.3428497.
    6. B. Weder, U. Breitenbücher, F. Leymann, and K. Wild, “Integrating Quantum Computing into Workflow Modeling and Execution,” in 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), in 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC). Dec. 2020, pp. 279–291. doi: 10.1109/UCC48980.2020.00046.
    7. E. Sood, S. Tannert, P. Mueller, and A. Bulling, “Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention,” in Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin, Eds., in Advances in Neural Information Processing Systems, vol. 33. Curran Associates, Inc., 2020, pp. 6327--6341. [Online]. Available: https://proceedings.neurips.cc/paper/2020/file/460191c72f67e90150a093b4585e7eb4-Paper.pdf
    8. E. Sood, S. Tannert, D. Frassinelli, A. Bulling, and N. T. Vu, “Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension,” in Proceedings of the 24th Conference on Computational Natural Language Learning, in Proceedings of the 24th Conference on Computational Natural Language Learning. Online: Association for Computational Linguistics, Nov. 2020, pp. 12--25. doi: 10.18653/v1/2020.conll-1.2.
    9. M. Salm, J. Barzen, F. Leymann, and B. Weder, “About a Criterion of Successfully Executing a Circuit in the NISQ Era: What $wd 1/\epsilon_eff$ Really Means,” in Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software, in Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software. ACM, Nov. 2020. doi: 10.1145/3412451.3428498.
    10. M. Salm, J. Barzen, U. Breitenbücher, F. Leymann, B. Weder, and K. Wild, “The NISQ Analyzer: Automating the Selection of Quantum Computers for Quantum Algorithms,” in Proceedings of the 14th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2020), in Proceedings of the 14th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2020). Springer International Publishing, Dec. 2020, pp. 66--85. doi: 10.1007/978-3-030-64846-6_5.
    11. P. Müller, E. Sood, and A. Bulling, “Anticipating Averted Gaze in Dyadic Interactions,” in ACM Symposium on Eye Tracking Research and Applications, in ACM Symposium on Eye Tracking Research and Applications. Stuttgart, Germany: Association for Computing Machinery, Jun. 2020, pp. 1–10. doi: 10.1145/3379155.3391332.
    12. F. Kempter, F. Bechler, and J. Fehr, “Calibration Approach for Muscle Activated Human Models in Pre-Crash Maneuvers with a Driver-in-the-Loop Simulator,” in Proceedings in 6th Digital Human Modeling Symposium, in Proceedings in 6th Digital Human Modeling Symposium. Skövde, Sweden, 2020. doi: 10.3233/ATDE200029.
    13. R. Diestelkämper and M. Herschel, “Tracing nested data with structural provenance for big data analytics,” in Proceedings of the International Conference on Extending Database Technology (EDBT), in Proceedings of the International Conference on Extending Database Technology (EDBT). 2020, pp. 253–264. doi: 10.5441/002/edbt.2020.23.
    14. R. Diestelkämper and M. Herschel, “Distributed Tree-Pattern Matching in Big Data Analytics Systems,” in In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS), in In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS). Springer, 2020, pp. 171–186. doi: https://doi.org/10.1007/978-3-030-54832-2_14.

  5. 2019

    1. L. Harzenetter, U. Breitenbücher, F. Leymann, K. Saatkamp, B. Weder, and M. Wurster, “Automated Generation of Management Workflows for Applications Based on Deployment Models,” in 2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC), in 2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC). Oct. 2019, pp. 216–225. doi: 10.1109/EDOC.2019.00034.

Project Network Coordinators

Melanie Herschel

Prof. Dr. rer. nat.

Data Engineering

This image shows Michael Sedlmair

Michael Sedlmair

Prof. Dr.

Professorship Virtual Reality and Augmented Reality

[Photo: SimTech/Max Kovalenko]

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