Forschungsinteressen

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

Journal Publications

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

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

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"