Robert Maack, M.Sc.
Scientific Researcher
Area of Research:
- Digital Image Processing
- Machine Learning
- Artificial Intelligence in Smart Manufacturing and Process Scheduling
Biography
Robert Maack joined the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal as a research assistant and doctoral student in September 2019.
Mr. Maack studied electrical engineering and information technology at the Ruhr University Bochum. As a major, he moved in the area of embedded systems with a focus on algorithm optimization for multicore architectures and FPGAs. In his master thesis he dealt with hardware reverse engineering of IC circuits using digital image processing and machine learning.
Publikationen
- 2022
- Maack, R. F., Tercan, H., & Meisen, T. (2022). "Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows" in 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) , IEEE 329—334.
ISBN: 978-1-7281-7568-3
- Maack, R. F., Waubert-de-Puiseau, C., Sokolova, A., Atsbha, H., Tercan, H., & Meisen, T. (2022). "Reducing the Sim2Real-Gap in Extrusion Blow Molding using Random Forest Regressors" , Manufacturing Letters , 33 , 843—849.
- 2021
- Maack, R. F., Tercan, H., Solvay, A. F., Mieth, M., & Meisen, T. (2021). "Fault Detection in Railway Switches using Deformable Convolutional Neural Networks" in 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) , IEEE 1—6.
ISBN: 978-1-7281-4395-8
