max_dreisbach_bild

Dr.-Ing. Maximilian Dreisbach

  • Institut für Strömungsmechanik
    Karlsruher Institut für Technologie
    Kaiserstraße 10, Geb. 10.23
    76131 Karlsruhe
    Tel.: +49 721 608 42368
    Fax: +49 721 608 45147

Projects

Research interests

  • Experimental investigation of drop impact
  • AI-based reconstruction of liquid-gas interfaces
  • Particle tracking through deep learning

Journal Publications


2025
Interface reconstruction of adhering droplets for distortion correction using color-coded glare points and deep learning
Dreisbach, M.; Hinojos, I.; Kriegseis, J.; Stroh, A.; Burgmann, S.
2025. International Journal of Multiphase Flow, 191, 105288. doi:10.1016/j.ijmultiphaseflow.2025.105288
Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning. PhD dissertation
Dreisbach, M.
2025, March 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000180490
2023
Fluid-mechanical evaluation of different clutch geometries based on experimental and numerical investigations = Strömungsmechanische Bewertung verschiedener Kupplungsgeometrien anhand von experimentellen und numerischen Untersuchungen
Sax, C.; Stroh, A.; Leister, R.; Denda, C.; Bürk, P.; Dreisbach, M.; Kriegseis, J.
2023. Forschung im Ingenieurwesen, 87 (4), 1297–1306. doi:10.1007/s10010-023-00703-5
Deep Learning and Hybrid Approach for Particle Detection in Defocusing Particle Tracking Velocimetry
Sax, C.; Dreisbach, M.; Leister, R.; Kriegseis, J.
2023. Measurement Science and Technology, 34 (9), Art.Nr.: 095909. doi:10.1088/1361-6501/acd4b4
Three-dimensional encoding of a gas–liquid interface by means of color-coded glare points
Dreisbach, M.; Blessing, S.; Brunn, A.; Michaux, F.; Stroh, A.; Kriegseis, J.
2023. Experiments in Fluids, 64 (3), 53. doi:10.1007/s00348-023-03592-0
Fluid-mechanical evaluation of different clutch geometries based on experimental and numerical investigations = Numerisch-experimentelle Analyse von Strömungs- topologien bei Nutmustervariationen an offenen nassen Lamellenkupplungen
Sax, C.; Stroh, A.; Leister, R.; Dreisbach, M.; Kriegseis, J.; Denda, C.; Bürk, P.
2023. Kupplungs- und Bremssysteme für mobile und stationäre Anwendungen : Auslegung - Systemverhalten - Lösungen, 109–124, VDI Verlag. doi:10.51202/9783181024140-109
2022
Particle detection by means of neural networks and synthetic training data refinement in defocusing particle tracking velocimetry
Dreisbach, M.; Leister, R.; Probst, M.; Friederich, P.; Stroh, A.; Kriegseis, J.
2022. Measurement Science and Technology, 33 (12), Art.Nr. 124001. doi:10.1088/1361-6501/ac8a09

Conference Contributions


2025
Convolutional feature-enhanced physics- informed neural networks for reconstructing two-phase flows
Dreisbach, M.; Kiani, E.; Kriegseis, J.; Karniadakis, G.; Stroh, A.
2025, May 30. 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs 2025), Chania, Greece, May 27–30, 2025
Opportunities for micropattern fabrication via drop-wise condensation templating
Dent, F.; Dreisbach, M.; Kriegseis, J.; Stroh, A.; Khodaparast, S.
2025, May 14. 12. International Conference on Multiphase Flow (ICMF 2025), Toulouse, France, May 12–16, 2025
Revealing hidden fluid dynamics with physics-informed neural networks from droplet impingement experiments
Dreisbach, M.; Kiani, E.; Kriegseis, J.; Karniadakis, G.; Stroh, A.
2025, May 14. 12. International Conference on Multiphase Flow (ICMF 2025), Toulouse, France, May 12–16, 2025
Spatio-temporal reconstruction of an adhering droplet interface for PIV distortion correction by means of deep learning and glare points
Dreisbach, M.; Hinojos, I.; Kriegseis, J.; Stroh, A.; Burgmann, S.
2025, May 13. 12. International Conference on Multiphase Flow (ICMF 2025), Toulouse, France, May 12–16, 2025
2024
Convolutional feature-enhanced physics-informed neural networks for the spatio-temporal reconstruction of two-phase flows
Dreisbach, M.; Kiani, E.; Kriegseis, J.; Karniadakis, G.; Stroh, A.
2024, November 25. 77th Annual Meeting of the Division of Fluid Dynamics (2024), Salt Lake City, UT, USA, November 24–26, 2024
Physics-informed neural networks for the prediction of hidden fluid mechanics in droplet impingement
Dreisbach, M.; Kiyani, E.; Kriegseis, J.; Karniadakis, G.; Stroh, A.
2024, September. 1st European Fluid Dynamics Conference (EFDC1 2024), Aachen, Germany, September 16–20, 2024
2023
Blasengrößenbestimmung durch Interferometric Particle Imaging (IPI) in Vorwärts,- Seitwärts- und Rückstreuung
Sax, C.; Dreisbach, M.; Kriegseis, J.
2023, September. 30. Experimentelle Strömungsmechanik (2023), Munich, Germany, September 5–7, 2023
Volumetric reconstruction of drop impact dynamics by means of color-coded glare points and deep learning
Dreisbach, M.; Blessing, S.
2023, April 5. 11th International Conference on Multiphase Flow (ICMF 2023), Kobe, Japan, April 2–7, 2023
2022
Three-Dimensional Detection Of A Gas-Liquid Interface By Means Of Oblique Colored Light Sources
Dreisbach, M.; Blessing, S.; Michaux, F.; Brunn, A.; Stroh, A.; Kriegseis, J.
2022. Proceedings of the 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, Lisboa, P, July 11-14, 2022
2021
Particle Detection by means of Machine Learning in Defocusing PTV
Dreisbach, M.; Leister, R.; Probst, M.; Friederich, P.; Stroh, A.; Kriegseis, J.
2021. 14th International Symposium on Particle Image Velocimetry, Illinois Institute of Technology (Illinois Tech). doi:10.18409/ispiv.v1i1.182

Supervised student theses

  • Master's thesis by Christian Sax (2022): "Particle Detection by means of Deep Learning and Conventional Algorithms for Defocusing Particle Tracking Velocimetry data"
  • Bachelor's thesis by Ubada Gad (2022): "3D detection of a gas-liquid interface by means of colored light sources at varying elevation and azimuth angles"
  • Bachelor's thesis by Kilian Harlos (2023): "Experimental investigation of regime boundaries for a drop impingement on flat and structured surfaces"
  • Bachelor's thesis by Daniel Prado (2023): "Image Processing Techniques for Two-Phase Flows in Microchannels"
  • Bachelor's thesis by Noah Fürst (2023): "Experimental Investigation of Bubble Entrapment During Drop Impact on Smooth Substrates"
  • Bachelor's thesis by Antonius Luy (2023): "Extension of a drop impact test-rig by lateral glare point for multi-view RGB-Shadowgraphy" 
  • Master's thesis by Itzel Hinojos (2025): "Development of a Digital Twin for Optical Experiments based on Shadowgraphy and Glare Points"