Dr. Phil Gralla

Research Areas

• Inverse problems
• Machine learning
• Regularization in Machine Learning
• classification
• Tikhonov-Phillips regularization

Projects

1. Torelance-based regularization theory for inverse problems (since 01.06.2015)
2. SFB 747: Mikrokaltumformen - TP T4: Prädiktive Kompensationsmaßnahmen zu Vermeidung von Gestaltabweichungen mikrogefräster Dentalprodukte (01.01.2015 - 30.06.2017)
3. Micro Cold Forming (01.01.2007 - 31.12.2018)

Publications (Selection)complete list

1. P. Gralla.
   Tikhonov Functionals Incorporating Tolerances in Discrepancy Term for Inverse Problems.
   Dissertationsschrift, Universität Bremen, 2023.

   DOI: 10.26092/elib/2097

2. R. . Grotheer, T. . Strauss, P. Gralla, T. Khan.
   Alternatives for Generating a Reduced Basis to Solve the Hyperspectral Diffuse Optical Tomography Model.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/1803.00948

3. K. Tracht, A. Onken, P. Gralla, J. H. Emad, N. Kipry, P. Maaß.
   Trend-specific clustering for micro mass production of linked parts.
   CIRP General Assembly 2018, 19.08-25.08.2018.
   CIRP Annals, Manufacturing Technology, 67(1):9-12, Elsevier, 2018.

   DOI: 10.1016/j.cirp.2018.04.017

4. O. Riemer, P. Maaß, F. E. Elsner-Dörge, P. Gralla, J. Vehmeyer, M. Willert, A. Meier, I. Zahn.
   Predictive compensation measures for the prevention of shape deviations of mircomilled dental products.
   , Springer Verlag, 2018.
5. P. Gralla, D. . Rippel, M. Lütjen, P. Maaß.
   Inverting Prediction Models in Micro Production for Process Design.
   5TH INTERNATIONAL CONFERENCE ON NEW FORMING TECHNOLOGY, 18.09.-21.09.2018, Bremen, Germany.
   

   DOI: 10.1051/matecconf/201819015007