IMH
Modellbildung und Hochleistungsrechnen

Hochschule Niederrhein. Dein Weg.

IMH – Institut für Modellbildung und Hochleistungsrechnen

Das IMH bietet mathematische Methoden- und Software-Kompetenz auf dem Gebiet des maschinellen Lernens und der CAE-basierten Robust-Design-Optimierung in der virtuellen Produktentwicklung an, mit der es möglich wird, sichere, zuverlässige und optimale Designs und Produkte zu entwickeln unter der Berücksichtigung der umvermeidbaren streuenden Einwirkungen und Systemeigenschaften. Insbesondere ist es möglich, dass innerhalb der Optimierung in den CAE-Prozessen die unvermeidbaren Unsicherheiten und Streuungen der Einwirkungen, der Systemeigenschaften und der Herstellungsprozesse berücksichtigt werden können. Über die State-of-the-Art-Methoden hinaus entwickeln das IMH auf Wunsch numerische Algorithmen im Bereich der Lösung partieller Differentialgleichungen, der Optimalsteuerung, der stochastischen Analyse und multidisziplinären Optimierung.

Kernkompetenz des IMH ist die Verbindung von

  • Numerischer Struktur- und Strömungssimulation (Computational Fluid Dynamics)
  • Numerik partieller Differentialgleichungen
  • Parallelem und verteiltem Hochleistungsrechnen (CPU und GPU)
  • Maschinellem Lernen
  • Stochastischer Versuchsplanung und Datenanalyse
  • Optimalsteuerung
  • Design- und Prozess-Optimierung und stochastischer Analyse

Laufende Projekte
 

HUMFOOD

Im Projekt wird getestet, wie humanoide Robotik in der Lebensmittelwirtschaft eingesetzt werden kann.

Projektbeteiligte:

  • Sauels frische Wurst GmbH Fleischwaren & Co. KG
  • cre8-it

Starterprojekt im Foodineum - Foodineum

Gefördert wird das Kooperationsprojekt des Rhein-Kreises Neuss und der Hochschule Niederrhein durch das Bundesministerium für Wirtschaft und Energie aufgrund eines Beschlusses des Deutschen Bundestages und kofinanziert durch das Land Nordrhein-Westfalen. Drittmittelanteil 259.800 €

LeNi-Förderung: FOKUS

Formative Kompetenzentwicklung im Umgang mit Schreib-KI

Ziel ist die Entwicklung eines standardisierten formativen Prüfungsprozesses für literaturbasierte Studien- und Abschlussarbeiten, der fachlich-methodische Kompetenzdimensionen systematisch absichert.

01.03.2026-01.04.2027

Förderhöhe: 10.000 €

Agentic AI in knowledge based work

Moderne agentische KI verändert die Art von wissensbasierter Arbeit. Wir führen eine Reihe von Experimenten in unseren Laboren durch, um die Voraussetzungen und Auswirkungen von agentischer KI zu prüfen. Erste Erkenntnisse wurden auf der DESRIST Konferenz vorgestellt.

01.01.2026-31.12.2026

Hochschulinternes Projekt

Abgeschlossene Projekte
 

Veröffentlichungen ab 2026

Lämmle, S., Stecher, J., Hodrius, T., Haselhoff, A., and Roos, D. Batch active learning for reliability-based model validation. Reliability Engineering & System Safety, page 112631, 2026.

Alexander Rachmann: Toolgestützte Workflows für Vibe Coding und Augmented Coding. In: Softwaretechnik-Trends. 2026. 46(1). S. 14-15

Jörn Fahsel, Andrea Herrmann, Alexander Rachmann, und Rüdiger Weißbach: Lehre des Requirements Engineering: Durch KI weniger Lerneffekt beim Studierenden, aber mehr Arbeit für die Dozierenden?. In: Softwaretechnik-Trends. 2026. 46(1). S. 6-7

Alexander Rachmann, Hendrik Poschmann, Lucas Weißbeck: Hugging Face als Datenraum für landwirtschaftliche Datensets. In: J. Dörr, T. Steckel, A. Wübbeke, V. Kruder-Motsch, C. Meltebrink, M. Gültas, H. Floto (Hrsg).: Datenräume in der Land-, Forst- und Ernährungswirtschaft, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn 2026, S. 416 - 421

Alexander Rachmann, Hendrik Poschmann, Lucas Weißbeck: Erkenntnisse zum Einsatz von GenAI in den frühen Phasen der Softwareentwicklung. In: WI-MAW Rundbrief Management der Anwendungsentwicklung und -wartung. 2026. 32(1). S. 3-16.

Anne Hess, Andreas Vogelsang, Xavier Franch, Andrea Herrmann, Sylwia Kopczyńska and Alexander Rachmann: Opportunities and Limitations of GenAI in RE: Viewpoints from Practice. In: Guizzardi, R., Araújo, J. (eds) Requirements Engi neering: Foundation for Software Quality. REFSQ 2026. Lecture Notes in Computer Science,vol16497.Springer,Cham.https://doi.org/10.1007/978-3-032-21423-2_22. pp 320–335

Poschmann, H. (2026): Die Roboter kommen. In: Studiogespräch, WDR Lokalzeit, 11:49 Min, Westdeutscher Rundfunk, 05.01.2026. Link: https://www1.wdr.de/lokalzeit/fernsehen/duesseldorf/studiogespraech-prof-dr-hendrik-poschmann-hochschule-niederrhein-100.html

Veröffentlichungen 2021 - 2025

Thirunavukkarasu, Thenuja; Tetz, Lukas; Sirin, Semih; Otten, Hubert; Roos, Dirk (2025): Steps towards an emergency department scheduling system. In: EFMI Special Topic Conference 2025.

Poschmann, H. (2025). Grundlegung zu einer synthetischen Ontologie der Maschinen (1. Auflage). Ethics, Law and AI: Band 3. Verlag Karl Alber

Alexander Rachmann: Erkenntnisse aus Experimenten mit den Six Thinking Chatbots. In: Softwaretechnik-Trends. 2025. 45(1). S. 52-53

Jörn Fahsel, Andrea Herrmann, Alexander Rachmann, und Rüdiger Weißbach: Erfahrungsbericht über die Transformation der Requirements Engineering-Lehre in Zeiten von Künstlicher Intelligenz. In: Softwaretechnik-Trends. 2025. 45(1). S. 44-45

Stan Bühne, Frank Engel, Sven Eselgrimm, Günter Halmans, Andrea Herrmann, Frank Houdek, Patrick Mäder, Alexander Rachmann, Thomas Schölzl, Amin Soesanto, Frank Stöckel, and Malik Tayeh. CPRE Certified Profesional for Requirements Engineering. Advanced Level Requirements Management. Syllabus. International Requirements Engineering Board, Sommer 2025

Gebler, Colin; Rethmann, Jochen; Ueberholz, Peer (2024): QUBO Models for the FIFO Stack-Up Problem and Experimental Evaluation on a Quantum Annealer. In: SN Comput. Sci., vol. 5, no. 7. [ DOI ]

van Gemmeren, Lukas; Ueberholz, Peer; Zeidan, Dia (2024): Computational aspects of model formulations in two-phase flow. In: International Conference of Numerical Analysis and Applied Mathematics: ICNAAM2022. [ DOI ]

Bogoclu, Can; Vosshall, Robert; Cremanns, Kevin; Roos, Dirk (2024): Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search and Applications. In: ACDSA 2024.

Lämmle, Sven; Bogoclu, Can; Vosshall, Robert; Haselhoff, Anselm; Roos, Dirk (2024): Quantifying Local Model Validity using Active Learning. In: The 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024). Universitat Pompeu Fabra, Barcelona, Spain.

Otten, Hubert; Thirunavukkarasu, Thenuja; Tetz, Lukas; Roos, Dirk; Sirin, Semih (2024): KI-BASIERTE PROZESSPLANUNG IN NOTAUFNAHMEN. Optimaler Ressourceneinsatz mit Reinforcement Learning. In: Klinik Einkauf 6.

Tauscher, Markus; Lämmle, Sven; Roos, Dirk; Wilde, Jürgen (2024): Bayesian calibration of ball grid array lifetime models for solder fatigue. In: Microelectronics Reliability 155, S. 115366. [ DOI ]

Gero Pocha, Alexander Rachmann: Evaluation eines LLM-basierten Text2SQL-Prototyps. In: WI-MAW Rundbrief Management der Anwendungsentwicklung und -wartung. 2024. 30(1). S. 15-24.

Alexander Rachmann, Alexander Hiller: Generative künstliche Intelligenz und Kreativität: Erkenntnisse aus grauer Literatur. In: WI-MAW Rundbrief Management der Anwendungsentwicklung und -wartung. 2024. 30(1). S.25-35.

Alexander Rachmann: Six Thinking Chatbots: A Creativity Technique deployed via a Large Language Model. In: D. Mendez, A. Moreira, J. Horkoff, T. Weyer, M. Daneva, M. Unterkalmsteiner, S. Bühne, J. Hehn, B. Penzenstadler, N. Condori-Fernández, O. Dieste, R. Guizzardi, K. M. Habibullah, A. Perini, A. Susi, S. Abualhaija, C. Arora, D. Dell’Anna, A. Ferrari, S. Ghanavati, F. Dalpiaz, J. Steghöfer, A. Rachmann, J. Gulden, A. Müller, M. Beck, D. Birkmeier, A. Herrmann, P. Mennig, K. Schneider. Joint Proceedings of REFSQ-2024 Workshops, Doctoral Symposium, Posters & Tools Track, and Education and Training Track. Co-located with REFSQ 2024. Winterthur, Switzerland, April 8, 2024.

Alexander Rachmann, Jens Gulden (2024): Preface for Workshop on Virtues and Values in Conceptual Modeling and Requirements Engineering. Modellierung 2024 Satellite Events. DOI: 10.18420/modellierung2024-ws-013. Gesellschaft für Informatik e.V.. ViVa Models!’24. Potsdam. 12. - 15. März

Lämmle, Sven; Bogoclu, Can; Cremanns, Kevin; Roos, Dirk (2023): Gradient and uncertainty enhanced sequential sampling for global fit. In: Computer Methods in Applied Mechanics and Engineering 415, S. 116226. [ DOI ]

Alexander Rachmann: Werteorientiertes Requirements Engineering für IoTT. In: Softwaretechnik-Trends. 2023. 43(4), S. 52f. Textbeitrag zu 76.

Jens Gulden, Alexander Rachmann: The Square of Values for Modeling Human Values in Requirements Engineering. In: 8th International Workshop on Empirical Requirements Engineering, co-located with the 31st IEEE International Requirements Engineering Conference. Hannover, Germany, September 4-8, 2023.

Alexander Rachmann: Moderne Varianten von Service Blueprints. In: WI-MAW Rundbrief Management der Anwendungsentwicklung und -wartung. 2023. 29(1). S. 25-32.

Alexander Rachmann, Jens Gulden: Das Wertequadrat als Modellierungsartefakt im Requirements Engineering. In: Softwaretechnik-Trends. 2023. 43(1). S. 8-9.

Alexander Rachmann, Thomas Polinski: Kollaboratives Service Blueprinting zum Erlernen von betriebswirtschaftlichen Sachverhalten. In: J. Michael, J. Pfeiffer, A. Wortmann (Hrsg.): Modellierung 2022 Satellite Events, Digital Library, Gesellschaft für Informatik e.V. 2022. S. 213-220.

Amal Belguanche, Axel Schumacher, Nikolai Desch, Abdulmonaim Benachour, Julius Böttcher, Georg Dietrich, Erik Pflug, Irina Spies, Peter Meyer, Bernd Folkmer, Stephan Knappmann, Peter Farber, Jens Gräbel, Markus Lake, Alfons Dehé (2022): Modellbasiertes Reaktives Fügen. In: 9. GMM-Fachtagung.

Axel Schumacher, Bernd Folkmer, Stephan Knappmann, Alfons Dehé, Amal Belguanche, Abdulmo- naim Benachour, Peter Farber, Nikolai Desch, Markus Lake, Erik Pflug, Julius Böttcher, Georg Dietrich (2022): Modellierung und Simulation des reaktiven Fügeprozesses. In: TechnologyMountains InnovationForum Smarte Technologien & Systeme.

Friedlich, N.; Vohall, R.; Bogoclu, C.; Roos, D. (2022): Gauss-Kovarianznetzwerk für die stichprobeneffiziente Regression von hochdimensionalen Simulationsergebnissen. In: NAFEMS Online-Magazin 62.

Pötschke, Liesa; Huber, Philipp; Stegschuster, Georg; Schriever, Sascha; Kroppen, N.; Schmatz, Joyce et al. (2022): Customized Woven Carbon Fiber Electrodes for Bioelectrochemical Systems—A Study of Structural Parameters. In: Frontiers in Chemical Engineering 4, S. 765682. [ DOI ]

Lawrenz, S., Poschmann, H., Stein, V., Rausch, A. (2022): Data Trading Similarity Signature - An Extended Data Trading Framework for Human and Non-Human Actors. In: Proceedings of the 55th Hawaii International Conference on System Sciences, S. 4923-4932, URI: https://hdl.handle.net/10125/79937978-0-9981331-5-7 (CC BY-NC-ND 4.0), all authors contributed equally, alphabetically ordered

Leiding, B., Poschmann, H. (2022): Recycling: Roboter als Retter? In: ZDF heute, Nachrichtenportal, 23.01.2022. Link: https://www.zdf.de/nachrichten/video/panorama-roboter-retter-akkus-100.html

Wegner, Tobias; Lassnig, Mario; Ueberholz, Peer; Zeitnitz, Christian: Simulation and Evaluation of Cloud Storage Caching for Data Intensive Science. In: Computing and Software for Big Science, vol. 6. [ DOI ]

Bähr, Pascal; Lang, Bruno; Ueberholz, Peer; Ady, Marton; Kersevan, Roberto: Development of a hardware-accelerated simulation kernel for ultra-high vacuum with Nvidia RTX GPUs. In: The International Journal of High Performance Computing Applications, vol. 36, p. 109434202110566. [ DOI ]

Bogoclu, Can; Roos, Dirk; Nestorović, Tamara (2021): Local Latin hypercube refinement for multi-objective design uncertainty optimization. In: Applied Soft Computing 112, S. 107807. [ DOI ]

Farber, Peter; Gräbel, Jens; Kroppen, Norman; Pötschke, Liesa; Roos, Dirk; Rosenbaum, Miriam et al. (2021): Electricity generation in a microbial fuel cell with textile carbon fibre anodes. In: Computers & Mathematics with Applications (83) 83, S. 4–23. [ DOI ]

Kintscher, L., Lawrenz, S., Poschmann, H., Sharma, P. (2021): Recycling 4.0 – Solving the Information Puzzle of the Circular Economy. In: Transactions on Computational Science & Computational Intelligence (Proceedings of CSCE 2021), Springer Nature, 2023. (Preprint available, book to be published), all authors contributed equally, alphabetically ordered

Kintscher, L.; Lawrenz, S.; Poschmann, H. (2021): "A Life Cycle Oriented Data-Driven Architecture for an Advanced Circular Economy." In: Procedia CIRP 98, S. 318–323. DOI: 10.1016/j.procir.2021.01.110, all authors contributed equally, alphabetically ordered

Poschmann, H.; Brüggemann, H.; Goldmann, D. (2021): "Fostering End-of-Life Utilization by Information-driven Robotic Disassembly." In: Procedia CIRP 98, S. 282–287. DOI: 10.1016/j.procir.2021.01.104, main author, research, findings, writing

 

Veröffentlichungen 2016 - 2020

Burggraf, Jonas; Farber, Peter; Karpaiya, Kavien; Ueberholz, Peter (2020): Numerical Investigation of Laminar Flow Heat Transfer of TiO 2 -Water Nanofluid in a Heated Pipe. In: Heat Transfer Engineering, vol. 42, pp. 1–13. [ DOI ]

Zeidan, Dia; Padhi, Seshadev; Burqan, Aliaa; Ueberholz, Peer (2020): Computational Mathematics and Applications. [ DOI ]

Farber, Peter; Bastian, Daniel; Gräbel, Jens; Klasen, Hannah; Molls, Christian; Kroppen, Norman et al. (2020): Numerical analysis of mass transfer to the anode in a microbial fuel cell. In: AIP Conference Proceedings 2293 (1). [ DOI ]

Rivera-Alvarez, Isaac; Brown, Robert K.; Keskin-Pyttel, Demet; Steffens, Jan; Farber, Peter; Schröder, Uwe (2020): Correlating theoretical boundary layer thickness to the power output of a microbial fuel cell with a complex anode geometry operated at varying flow rates. In: Journal of Power Sources 470, S. 228428. [ DOI ]

van Gemmeren, Lukas; Ueberholz, Peer; Zeidan, Dia; Gräbel, Jens; Farber, Peter (2020): A comparison of two hyperbolic models for the Mach 3 wind tunnel two-phase flow with a step. In: AIP Conference Proceedings 2293 (1). [ DOI ]

Poschmann, H.; Brüggemann, H.; Goldmann, D. (2020): Robot Cognition in Disassembly - Advanced Information Processing for an Adaptive Dismantling Ecosystem. In: ADAPTIVE 2020, The Twelfth International Conference on Adaptive and Self-Adaptive Systems and Applications, October 25-29, Nice, France, IARIA, 2020. (Best Paper Award)

Blömeke S., Mennenga M., Herrmann C., Scheller C., Spengler T., Nippraschk M., Goldmann D., Lawrenz S., Sharma P., Rausch A., Poschmann H., Brüggemann H., Kintscher L., Bikker G. (2020): Recycling 4.0 - An Integrated Approach Towards an Advanced Circular Economy. In: ICT4S’20: 7th International Conference on ICT for Sustainability, June 21--26, 2020, Bristol, United Kingdom doi.org/10.1145/3401335.3401666, part of:conceptualization, original research, writing

Poschmann, H.; Brüggemann, H.; Goldmann, D. (2020): Disassembly 4.0: A Review on Using Robotics in Disassembly Tasks as a Way of Automation. In: ChemieIngenieurTechnik, Jg. 92, Ausgabe 4, April 2020, S. 341-359, main author, research, findings, writing

Kintscher, L.; Lawrenz, S.; Poschmann, H.; Sharma, P. (2020): "Recycling 4.0 – Digitalization as a Key for the Advanced Circular Economy". In: Journal of Communications 15(9):652-660, August 2020. DOI: 10.12720/jcm.15.9.652-660, all authors contributed equally, alphabetically ordered

Poschmann, H., Brüggemann, H.; Goldmann, D. (2020): Robotergestützte Demontage als Treiber der Digitalisierung im Recycling der Zukunft. In: Olaf Holm, Elisabeth Thomé-Kozmiensky, Daniel Goldmann und Bernd Friedrich (Hg.): Recycling und Sekundärrohstoffe: TK-Verlag (13), S. 610-623, ISBN: 978-3-944310-51-0

Poschmann, H., Brüggemann, H. (2020): Roboter für die Demontage – Projekt sorgt für Digitalisierung in der Kreislaufwirtschaft. In: iQ-Journal 3/2020, VDI Braunschweig (Hrsg.), S.8.

Poschmann, H., Brüggemann, H. (2020): Demontage 4.0 – Künstliche Intelligenz macht Recycling effizienter. In: Technologie-Informationen 01/2020, Ministerium für Wissenschaft und Kultur Land Niedersachsen (Hrsg.), S. 12-13.

Blömeke, S., Kintscher, L., Lawrenz, S., Nippraschk, M., Poschmann, H., Scheller, C., Sharma, P. Towards Advanced Circular Economy for E-mobility (2020, Poster). In: BEYOND 2020 - World Sustainable Built Environment Online Conference

Alexander Rachmann. Blueprinting für multimodale Services im E-Commerce. In: WI-MAW Rundbrief Management der Anwendungsentwicklung und -wartung. 2020. 26(1). S. 25-32.

Trapp, M., Bogoclu, C., Nestorović, T., and Roos, D. (2019). Intelligent optimization and machine learning algorithms for structural anomaly detection using seismic signals. Mechanical Systems and Signal Processing.

Pohle-Fröhlich, R., Bohm, A., Ueberholz, P., Korb, M., and Goebbels, S. (2019). Roof segmentation based on deep neural networks. In Trémeau, A., Farinella, G. M., and Braz, J., editors, Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, Volume 4: VISAPP, Prague, Czech Republic, February 25-27, 2019. SciTePress. [ DOI | http ]

Farber, P., Gräbel, J., Kroppen, N., Pötschke, L., Roos, D., Rosenbaum, M., Stegschuster, G., and Ueberholz, P. (2019). Electricity generation in a microbial fuel cell with textile carbon fibre anodes. Computers & Mathematics with Applications. [ DOI | http ]

Goncalves, E., Zeidan, D., van Gemmeren, L., Ueberholz, P., Farber, P., and Gräbel, J. (2019). Non-equilibrium two-phase flow computations by a mixture model. In Conference Proceeding of the 10th international conference on computational methods, Singapore.

Zeidan, D., Bähr, P., Farber, P., Gräbel, J., and Ueberholz, P. (2019). Numerical investigation of a mixture two-phase flow model in two-dimensional space. Computers & Fluids, 181. [ DOI ]

Minea, A. A., Buonomo, B., Burggraf, J., Ercole, D., Karpaiya, K. R., Pasqua, A. D., Sekrani, G., Steffens, J., Tibaut, J., Wichmann, N., Farber, P., Huminic, A., Huminic, G., Mahu, R., Manca, O., Oprea, C., Poncet, S., and Ravnik, J. (2019). Nanoround: A benchmark study on the numerical approach in nanofluids' simulation. International Communications in Heat and Mass Transfer, 108. [ DOI ]

Cremanns, K., Roos, D., Hecker, S., Penkner, A., and Musch, C. (2018b). Robust design optimization of a steam turbine labyrinth seal based on surrogate models. In Proceedings of ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition GT2018, Oslo, Norway.

Cremanns, K., Penkner, A., Hecker, S., Musch, C., and Roos, D. (2018a). Steam turbine exhaust optimization based on gaussian covariance networks using transient CFD simulations. In Proceedings of ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition GT2018, Oslo, Norway.

Gräbel, J., Zeidan, D., Bähr, P., Ueberholz, P., and Farber, P. (2018). Simulation of mach 3 wind tunnel flow with a step by a two-phase flow model. In AIP Conference Proceedings, volume 1978. [ DOI ]

Vossen, G., Friedlich, N., Hermanns, T., Nießen, M., and Schulz, W. (2018). On a model for laser cutting involving surface tension. IFAC-PapersOnLine, 51(2).

Cremanns, K. and Roos, D. (2017). Deep Gaussian Covariance Network. ArXiv e-prints. [ arXiv ]

Sen, S., Lake, M., Kroppen, N., Farber, P., Wilden, J., and Schaaf, P. (2017). Self-propagating exothermic reaction analysis in Ti/Al reactive films using experiments and computational fluid dynamics simulation. Applied Surface Science, 396. [ DOI ]

Farber, K., Farber, P., Gräbel, J., Krick, S., and Ueberholz, P. (2017b). A numerical study of a greenhouse CFD simulation including radiation heat transfer and transpiration. International Journal of Engineering Systems Modelling and Simulation, 9(3). [ DOI ]

Farber, K., Farber, P., Gräbel, J., Krick, S., and Ueberholz, P. (2017a). A computational fluid dynamics investigation of flow, solar radiation, heat transfer, transpiration and condensation in a greenhouse. Acta Horticulturae. [ DOI ]

Gräbel, J., Zeidan, D., Bähr, P., Ueberholz, P., and Farber, P. (2017). Progress on the simulation of a mixture two-phase flow model. In AIP Conference Proceedings, volume 1863. [ DOI ]

Bogoclu, C. and Roos, D. (2017). Reliability analysis of non-linear and multimodal limit state functions using adaptive Kriging. In 12th International Conference on Structural Safety & Reliability, ICOSSAR 2017, TU Wien, Vienna, Austria, 6-10 August.

Vossen, G. (2016). Switching time optimization for a PDE constrained optimal control problem of bang-bang type. PAMM -- Proceedings of Angewandte Mathematik und Mechanik, 16(1).

Tietze, I., Newiadomsky, C., and Vossen, G. (2016). A model for forecasting short-term electricity prices for electric utilities. In Hertweck, D. and Decker, C., editors, Digital Enterprise Computing (DEC 2016), Lecture Notes in Informatics.

Farber, P., Gräbel, J., Hensel, S., Ueberholz, P., and Zeidan, D. (2016b). Some issues in the simulation of two- phase flows: the relative velocity. In AIP Conference Proceedings, volume 1738. [ DOI ]

Pötschke, L., Heyer, M., Stegschuster, G., Huber, P., Schriever, S., Wortberg, G., Beckers, M., Kroppen, N., Gräbel, J., Ueberholz, P., Bastian, D., Pinnekamp, J., Farber, P., Gries, T., and Rosenbaum, M. A. (2016). Textile carbon anodes for the application of microbial fuel cells for paper mill wastewater treatment. Chem. Ing. Tech., 88(9). [ DOI ]

Cremanns, K., Roos, D., Hecker, S., Dumstorff, P., and Almstedt, H. (2016). Efficient Multi-Objective Optimization Of Labyrinth Seal Leakage In Steam Turbines Based On Hybrid Surrogate Models. In Proceedings of ASME TURBO EXPO 2016: Turbine Technical Conference and Exposition GT2016, South Korea, Seoul, June 13-17.

Cremanns, K. and Roos, D. (2016). A new optimized moving least square meta model with maximized prognosis. In Papadrakakis, M., Papadopoulos, V., Stefanou, G., and Plevris, V., editors, VII European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016, Crete Island, Greece, 5-10 June.

Farber, K., Farber, P., Gräbel, J., Krick, S., Reitz, J., and Ueberholz, P. (2016a). Development and validation of a coupled Navier–Stokes/DSMC simulation for rarefied gas flow in the production process for OLEDs. Applied Mathematics and Computation, 272. The 9th International Symposium on Numerical Analysis of Fluid Flow and Heat Transfer - Numerical Fluids 2014. [ DOI | http ]

Wortberg, G., Rosenbaum, M. A., Farber, P., Molls, C., and Klopp, K. (2016a). Textile carbon fiber electrodes for microbial fuel cells and technical textiles. Technische Textilien, 59.

Wortberg, G., Rosenbaum, M. A., Farber, P., Molls, C., and Klopp, K. (2016b). Textile Kohlenstoffelektroden für mikrobielle Brennstoffzellen. Technische Textilien, 59.

Roos, D. (2016). Latin hypercube sampling based on adaptive orthogonal decomposition. In Papadrakakis, M., Papadopoulos, V., Stefanou, G., and Plevris, V., editors, VII European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016, Crete Island, Greece, 5-10 June.

Bogoclu, C. and Roos, D. (2016). A benchmark of contemporary metamodeling algorithms. In Papadrakakis, M., Papadopoulos, V., Stefanou, G., and Plevris, V., editors, VII European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016, Crete Island, Greece, 5-10 June.

Veröffentlichungen 2011 - 2015

Vossen, G., Struck, A., and Roos, D. (2015c). Optimal control for lithium-ion batteries. In GAMM 86th Annual Scientific Conference of the International Association of Applied Mathematics and Mechanics, Lecce, Italy.

Vossen, G., Struck, A., and Roos, D. (2015b). Optimal control for lithium-ion batteries. PAMM -- Proceedings of Angewandte Mathematik und Mechanik, 15(1).

Vossen, G., Schüttler, J., and Hermanns, T. (2015a). Analysis and optimal control of laser radiation for stabilization of free melt flow boundaries. ZAMM -- Zeitschrift für Angewandte Mathematik und Mechanik, 95(3).

Cremanns, K., Lehmkuhl, H., Roos, D., Wanzek, T., Karschnia, D., Seifert, F., Jasper, J., and Rothgang, S. (2015a). Multi-objective design optimization of an electrical air compressor impeller with subsequent robustness evaluation. In Proceedings of the ANSYS Conference & 33th CAD-FEM Users' Meeting 2015, International Congress on FEM Technology, Bremen, Germany, June 24-26.

Farber, K., Farber, P., Gräbel, J., Krick, S., and Ueberholz, P. (2015b). An investigation of radiation heat transfer and transpiration in a greenhouse. In Proceedings of the 8th International Conference on Thermal Engineering: Theory and Applications, Amman-Jordan.

Farber, K., Farber, P., Gräbel, J., Krick, S., Reitz, J., and Ueberholz, P. (2015a). A hybrid Navier-Stokes/DSMC simulation for rarefied gas flow for the deposition of nano layers for OLEDs. In AIP Conference Proceedings, volume 1648. [ DOI ]

Cremanns, K., Lehmkuhl, H., Roos, D., Wanzek, T., Karschnia, D., Seifert, F., Jasper, J., and Rothgangb, S. (2015b). Multicriteria optimization and robustness evaluation of a radial compressor. In 3rd ECCOMAS Young Investigators Conference of the 6th GACM Colloquium, RWTH Aachen, Aachen, Germany, July 20-23.

Vossen, G., Roos, D., and Struck, A. (2014). Optimal control for battery management systems. In EngOpt2014 - 4th International Conference on Engineering Optimization, Instituto Superior Tecnico, Lisboa, Portugal.

Vossen, G. and Hermanns, T. (2014). On an optimal control problem in laser cutting with mixed finite-/infinite-dimensional constraints. Journal of Industrial and Management Optimization, 10(2).

Vossen, G. (2014). h2,α--norm model reduction for optimal control problems subject to parabolic and hyperbolic evolution equations. Optimal Control Applications and Methods, 35(5).

Decker, N., Farber, K., Farber, P., Gräbel, J., Krick, S., and Ueberholz, P. (2014). A computational fluid dynamics investigation of condensation in greenhouses. In Proceedings of the 28th European Simulation and Modelling Conference - ESM 2014, Porto, Portugal.

Cremanns, K., Roos, D., and Graßmann, A. (2014b). Sequential vs. Multidisciplinary coupled Optimization and efficient Surrogate Modelling of a last Stage and the successive Axial Radial Diffuser in a low Pressure Steam Turbine. In Proceedings of ASME TURBO EXPO 2014: Turbine Technical Conference and Exposition GT2014, Düsseldorf, Germany, June 16-20.

Cremanns, K., Roos, D., and Graßmann, A. (2014a). Increased efficiency by optimizing the last stage of a steam turbine. RDO-Journal.

Harries, S., Palluch, J., and Roos, D. (2013). Optimization and Robustness Analysis in Ship Design. RDO-Journal.

Farber, K., Jasper, J., Märtin, M., Schmitt, M., Krick, S., Leisen, J., Beckham, H. W., and Farber, P. (2013). Computational fluid dynamics simulations of the complex geometry of a technical textile. NAFEMS International Journal of CFD Case Studies, 10.

Cremanns., K., Roos, D., and Graßmann, A. (2013). Conventional partwise optimization vs. multidisciplinary optimization of the last stage of a low pressure steam turbine with an axial radial diffuser. In Proceedings of the eleventh Weimar Optimization and Stochastic Days. Weimar, Germany, November 21-22.

Jörres, C., Vossen, G., and Herty, M. (2013). On an inexact gradient method using POD for parabolic optimal control problems. Computational Optimization and Applications, 55.

Roos, D., Cremanns, K., and Jasper, T. (2013). Probability and variance-based stochastic design optimization of a radial compressor concerning fluid-structure interaction. In Idelsohn, S., Papadrakakis, M., and Schrefler, B., editors, V International Conference on Coupled Problems in Science and Engineering (Coupled Problems 2013), Santa Eulalia, Ibiza, Spain, June 17-19.

Bürgermeister, L., Mikalauskaite, R., Vossen, G., and Schulz, W. (2012). Antimikrobielle Photodynamische Therapie, Analyse und Verbesserung des Ablaufs der chemischen Prozesse. In et al., S. L., editor, Automatisierungstechnische Verfahren für die Medizin; Automed 10 Workshop, volume 17, Aachen, Germany.

Vossen, G. and Volkwein, S. (2012). Model reduction techniques with a-posteriori error analysis for linear-quadratic optimal control problems. Numerical Algebra, Control and Optimization, 2(3).

Klindworth, D., Vossen, G., and Grepl, M. (2012). Reduced-basis methods for linear parabolic problems with non-affine source terms. Computer Methods in Applied Mechanics and Engineering, 209--212.

Gräbel, J., Farber, K., Farber, P., Martin, M., and Ueberholz, P. (2012). Aspects of parallelization of multiphase computational fluid dynamics system models of a textile suction device. In Recent Advances in Systems Science & Mathematikcal Modelling, Proceedings of the 3rd European Conference of Systems (ECS '12). WSEAS press.

Roos, D. (2011a). Multi-domain Adaptive Surrogate Models for Reliability Analysis. In Budelmann, H., Holst, A., and Proske, D., editors, Proceedings of the 9th International Probabilistic Workshop. Technical University Carolo-Wilhelmina zu Braunschweig, Braunschweig, Germany.

Vossen, G. and Schüttler, J. (2011). Mathematical modelling and stability analysis for laser cutting. Mathematical and Computer Modelling of Dynamical Systems, 18(4).

Roos, D. (2011b). Optimierung und stochastische Analyse in der Fluid-Struktur-Simulation. DIGITAL Engineering Magazin, 6.

Veröffentlichungen 2006 - 2010

Vossen, G., Schüttler, J., and Nießen, M. (2010). Optimization of partial differential equations for minimizing the roughness of laser cutting surfaces. In M. Diehl, F. Glineur, E. J. u. W. M., editor, Recent Advances in Optimization and its Applications in Engineering. Springer (Berlin-Heidelberg).

Vossen, G. (2010). Switching time optimization for bang--bang and singular controls. Journal of Optimization Theory and Applications, 144(2).

Beelitz, T., Lang, B., Ueberholz, P., and Willems, P. R. (2010). Closing the case t = 3 for 3-d spherical t-designs using a result-verifying nonlinear solver. Reliable Computing, 14.

Schulz, W., Nießen, M., Vossen, G., and Schüttler, J. (2010). Multiphysics modelling and process monitoring of laser processing. In Proceedings of NUSIM Multiphysics Conference.

Bunse-Gerstner, A., Kubalinska, D., Vossen, G., and Wilczek, D. (2010). h2-norm optimal model reduction for large-scale discrete dynamical MIMO systems. Journal of Computational and Applied Mathematics, 233(5).

Roos, D., Einzinger, J., and Bayer, V. (2009). Robust Design Optimization applied to Structural, Thermal and Fluid Analysis including Manufacturing Tolerances. In Proceedings of the sixth Weimar Optimization and Stochastic Days. Weimar, Germany, Oktober 15-16.

Maurer, H. and Vossen, G. (2009). Sufficient conditions and sensitivity analysis for optimal bang-bang control problems with state constraints.

Farber, K., Jasper, J., Märtin, M., Schmitt, M., Krick, S., Leisen, J., Beckham, H. W., and Farber, P. (2009). Numerische Strömungssimulationen der komplexen Geometrie eines technischen Textils. NAFEMS Magazin, 13.

Korytowski, A., Szymkat, M., Maurer, H., and Vossen, G. (2008). Optimal control of a fedbatch fermentation process: numerical methods, sufficient conditions and sensitivity analysis. In Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexiko.

Roos, D. (2008). Advanced methods of stochastic and optimization in industrial applications. In Proceedings of the 7th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes, Numisheet, Interlaken,Switzerland.

Bayer, V. and Roos, D. (2008). Efficient Modelling and Simulation of Random Fields. In Graubner, Schmidt, P., editor, Proceedings of the 6th International Probabilistic Workshop, Darmstadt, Germany, November 26-27. Technical University Darmstadt.

Roos, D. and Hoffmann, R. (2008). Successive robust design optimization of an electronic connector. In Proceedings of the fourth Weimar Optimization and Stochastic Days. Weimar, Germany, November 20-21.

E.Ehses, T.Harenberg, D.Huning, P.Mättig, M.Mechtel, T.München, M.Rau, Ueberholz, P., and N.Wulff (2008). Job centric monitoring for atlas jobs in the LHC computing grid. In Speer, T., Carminati, F., and Werlen, M., editors, Proceedings of the XII International Workshop on Advanced Computing and Analysis in Physics Research. Sissa Medialab srl.

Roos, D. and Bayer, V. (2008). An efficient robust design optimization approach using advanced surrogate models. In Graubner, Schmidt, P., editor, Proceedings of the 6th International Probabilistic Workshop, Darmstadt, Germany, November 26-27. Technical University Darmstadt.

Bayer, V., Roos, D., and Adam, U. (2007). Structural Reliability Analysis by Random Field Modeling with Robustness Methods and Adaptive Response Surfaces. In Proceedings of the CIVIL-COMP2007: The Eleventh International Conference on Civil, Structural and Environmental Engineering Computing. Civil Comp Ltd., St. Julians, Malta.

Kubalinska, D., Bunse-Gerstner, A., Vossen, G., and Wilczek, D. (2007). h2-optimal interpolation based model reduction for large-scale systems. Proceedings of the 16th ICSS.

Vossen, G., Rehbock, V., and Siburian, A. (2007). Numerical solution methods for singular control with multiple state dependent forms. Optimization Methods and Software, 22(4).

Borovac, S., Harenberg, T., Meder-Marouelli, D., Mättig, P., Mechtel, M., Müller-Pfefferkorn, R., Neumann, R., William, T., Buchholz, P., Lorenz, D., Uebing, C., Walkowiak, W., Wismüller, R., Ueberholz, P., Manafov, A., Manteufel, R., Penso, V., Preuss, C., Schwarz, K., Duckeck, G., Elmsheuser, J., Mahmoud, T., Schaile, D., Fuhrmann, P., Freitag, S., and Schley, L. (2007). Overview over the high energy physics community grid in germany's d-grid initiative. In Proceedings of the XI International Workshop on Advanced Computing and Analysis in Physics Research. Sissa Medialab srl.

Roos, D., Most, T., Unger, J., and Will, J. (2007). Advanced surrogate models within the robustness evaluation. In Proceedings of the fourth Weimar Optimization and Stochastic Days. Weimar, Germany, November 28-29.

Müller-Pfefferkorn, R., Neumann, R., William, T., Borovac, S., Harenberg, T., Hüsken, M., Mättig, P., Mechtel, M., Meder-Marouelli, D., Ueberholz, P., Buchholz, P., Lorenz, D., Uebing, C., Walkowiak, W., and Wismüller, R. (2007). User-centric monitoring and steering of the execution of large job sets. In Conference Proceedings German e-Science Conference.

Farber, P. (2007a). Genau ist gut - richtig ist besser. KEM, 9.

Farber, P. (2007b). Über Struktur und Genauigkeit des CFD-Prozesses. NAFEMS Magazin, 7.

Ueberholz, P. (2007). An efficient parallel result-verifying nonlinear solver for large systems. Monograf s.r.l.

Egerland, M., Roos, D., and Will, J. (2007). Optimization of a fan shroud by ANSYS/DesignModeler and optiSLang. In Proceedings of the ANSYS Conference & 25th CAD-FEM Users' Meeting 2007, International Congress on FEM Technology, Dresden, Germany, November 21-23.

Vossen, G. and Maurer, H. (2006). On l1--minimization in optimal control and applications to robotics. Optimal Control Applications and Methods, 27.

Vossen, G. (2006). Numerische Lösungsmethoden, hinreichende Optimalitätsbedingungen und Sensitivitätsanalyse für optimale bang-bang und singuläre Steuerungen. PhD thesis, Universität Münster, Institut für Numerische und Angewandte Mathematik.

Roos, D., Adams, U., and Bucher, C. (2006c). Robust Design Optimization. In Proceedings of the third Weimar Optimization and Stochastic Days. Weimar, Germany, November 23-24.

Roos, D. and Adams, U. (2006). Adaptive Moving Least Square Approximation for the Design Reliability Analysis. In Proceedings of the third Weimar Optimization and Stochastic Days. Weimar, Germany, November 23-24.

Roos, D., Adam, U., and Bucher, C. (2006b). Robust Design Optimization. In Proceedings of the ANSYS Conference & 24th CAD-FEM Users' Meeting 2006, International Congress on FEM Technology, Stuttgart, Schwabenlandhalle, Germany, October 25-27.

Roos, D., Bucher, C., and Will, J. (2006d). Speedyne -- Fast Approximation Solution for FEM-based Drop Test Applications using hybrid MBS/FE Technology. In Proceedings of the ANSYS Conference & 24th CAD-FEM Users' Meeting 2006, International Congress on FEM Technology, Stuttgart, Schwabenlandhalle, Germany, October 25-27.

Roos, D., Adam, U., and Bayer, V. (2006a). Design Reliability Analysis. In Proceedings of the ANSYS Conference & 24th CAD-FEM Users' Meeting 2006, International Congress on FEM Technology, Stuttgart, Schwabenlandhalle, Germany, October 25-27.

Müller-Pfefferkorn, R., Neumann, R., Borovac, S., Hammad, A., Harenberg, T., Hüsken, M., Mättig, P., Mechtel, M., Meder-Marouelli, D., and Ueberholz, P. (2006). Monitoring of jobs and their execution for the lhc computing grid. In Conference Proceedings "Cracow Grid Workshop".

Bayer, V. and Roos, D. (2006). Non-parametric Structural Reliability Analysis using Random Fields and Robustness Evaluation. In Proceedings of the third Weimar Optimization and Stochastic Days. Weimar, Germany, November 23-24.

Hammad, A., Harenberg, T., Igdalov, D., Mättig, P., Meder-Marouelli, D., and Ueberholz, P. (2006). A job monitoring system for the LCG computing grid. In 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), Proceedings, 25-29 April 2006, Rhodes Island, Greece. IEEE. [ DOI | http ]

Hardware

  • CPU HPC Cluster, bis 2 TB RAM und 512 CPU-Kerne
  • GPU HPC Cluster, bis 2,8 TB RAM, 1216 CPU-Kerne, 40 NVIDIA-A100 GPUs
  • Workstations bis 128 GB und 16 CPU-Kerne

Software

  • ANSYS (Multi-physics), 77 computational licenses, 1200 HPC licenses
  • OpenFOAM, DSMC Solver mit eigenen Erweiterungen zur Simulation von durchströmten Geometrien im Fein- bis Hochvakuum
  • Hybrider DSMC-Navier Stokes Solver
  • optiSLang, 77 licenses
  • Diffpack, 2 licenses

Können Sie auch mieten!
 

Industrie

BEKO TECHNOLOGIES GmbH, Neuss

TEDIMA GmbH, Krefeld

Miele & Cie. KG, Gütersloh

ERFTCARBON GmbH, Grevenbroich

Honda Research & Development Europe (Deutschland) GmbH, Offenbach/Main

Erbslöh Aktiengesellschaft, Velbert

ERFTCARBON GmbH, Grevenbroich

GKD - Gebr. Kufferath AG, Düren

SYNTICS GmbH, Bochum

Friedrich Boysen GmbH & Co. KG, Altensteig

Cargill Deutschland GmbH, Krefeld

Schlafhorst, Übach-Palenberg

Cardagon Esser GmbH, Neuss

Max-Planck-Institut für Eisenforschung GmbH, Düsseldorf

Zentrum für Brennstoffzellentechnik GmbH, Duisburg

ANSYS Germany GmbH, Darmstadt

Bayer AG, Leverkusen

Biotronik, Berlin

CADFEM GmbH, Grafing

FRIENDSHIP SYSTEMS GmbH, Potsdam

FutureShip GmbH, Potsdam

Grillo-Werke AG, Goslar

Hemscheidt, Haan-Gruiten

Inutech GmbH, Nürnberg

Klinikum Dortmund GmbH, Dortmund

KSPG AG, Neuss

Litronik, Pirna

Mercedes-Benz Cars Development, Sindelfingen

Robert Bosch GmbH, Bühl und Stuttgart

Siemens AG Infrastructure & Cities Sector, Krefeld

Siemens AG, Power Energy, Mühlheim

M-TEC, Aachen

(Auswahl)

Akademisch

Max-Planck-Institut für Eisenforschung GmbH, Düsseldorf

Georgia Institute of Technology, Atlanta, USA

Bergische Universität Wuppertal

Ruhr-Universität, Bochum

RWTH Aachen

TU Dresden

TU Clausthal

Uni Duisburg-Essen

Uni des Saarlandes, Saarbrücken

Deutsches Zentrum für Luft- und Raumfahrt, Augsburg

Fraunhofer Institut für Lasertechnik, Aachen

(Auswahl)

Professor für Angewandte Mathematik und Computational Intelligence Institutsleiter Institut für Modellbildung und Hochleistungsrechnen
Sabine Rast
Sekretariat ILOC - Institut für Lacke und Oberflächenchemie
Prof. Dr.-Ing. Hendrik Poschmann
Automatisierung, Robotik & KI
Prof. Dr. Alexander Rachmann
Software Engineering und angewandte künstliche Intelligenz
Semih Sirin, M.Sc.
IMH-Institut f. Modellbildung u. Hochleistungsrechnen der HN
Colin Engelmann, M.Eng.
Projekt "MedRed" am IMH
Felix Logar, M.Sc.
Projekt "MaProS" am IMH
Angewandte Mathematik und rechnergestützte Simulation Vorsitzender des Hochschulprüfungsausschusses

Externe Doktoranden

Nicolai Friedlich, M.Sc.

Sven Lämmle, M.Sc.

Ehemalige Professoren

Prof. Dr.-Ing. Peter Farber

Prof. Dr. rer. nat. Peer Ueberholz

Ehemalige Mitarbeiter

Can Bogoclu, PhD

Dr.-Ing. Kevin Cremanns

Nicolai Friedlich, M.Sc.

Jens Gräbel, M.Sc

Dr.-Ing. Hansjörg Lehmkuhl

Dr. rer. nat. Robert Voßhall

Laufende Promotionen

Methods for Efficient Model Validation for Digital Twins, Sven Lämmle

Methods for Multifidelity Regression based on Covariance Networks, Semih Sirin

Methoden der Optimalsteuerung und des Reinforcement Learning für einen Aufheizvorgang von Turbinenkomponenten, Nicolai Friedlich

Abgeschlossene Promotionen

Tobias Wegner: Data-driven Integration Models for Commercial Cloud Storage, 2017 – 2022, CERN

Pascal Bähr: Advancing ray-traced Ultra-High Vacuum Simulations: Enhanced algorithms and data structures in Molflow, 2020 – 2024, CERN

Kevin Cremanns: Probabilistic Machine Learning for Pattern Recognition and Design Exploration, 07/2016 – 01/2021
Kooperative Promotion zusammen mit Prof. Dr.-Ing. Stefan Reh, DLR, Institut für Werkstoff-Forschung

Can Bogoclu: Adaptive Machine Learning for Sample efficient Probabilistic Analysis, 12/2014 – 06/2022
Kooperative Promotion zusammen mit Prof. Dr.-Ing. Tamara Nestorović, Institut für Computational Engineering, RUB

Beratung
Barrierefreiheit