M.Sc. 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


  • Experimentelle Untersuchung des Tropfenaufpralls
  • KI-basierte Rekonstruktion von Gas-Flüssigkeits-Grenzflächen
  • Particle Tracking  mittels Deep Learning

Journal Publications

Three-dimensional encoding of a gas–liquid interface by means of color-coded glare points
Dreisbach, M.; Blessing, S.; Brunn, A.; Michaux, F.; Michaux, F.; Stroh, A.
2023. Experiments in Fluids, 64 (3), 53. doi:10.1007/s00348-023-03592-0
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

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
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

Betreute studentische Arbeiten

  • Masterarbeit von Christian Sax (2022): "Particle Detection by means of Deep Learning and Conventional Algorithms for Defocusing Particle Tracking Velocimetry data"
  • Bachelorarbeit von Ubada Gad (2022): "3D detection of a gas-liquid interface by means of colored light sources at varying elevation and azimuth angles"