M.Sc. Clemens Meiser

Research topics

• Inverse Problems
• Terahertz Tomography
• Inverse Problems and Machine Learning

Teaching

• Winter term 2019/20: Seminar: Maschinelles Lernen für Inverse Probleme
• Summer Term 2020:   Programmierung
• Winter term 2020/21: Inverse Problems
• Summer term 2021:    Numerical Laboratory in Computerized Tomography
• WInter term 2021/22: (Pro-)Seminar: Mathematical modelling in the context of the Corona pandemic
• Winter term 2022/23: Machine Learning for Inverse Problems

Talks

• C. Meiser, T. Schuster, A. Wald, Data Driven Enhanced Methods For Terahertz Tomography, 13th International Conference on
  Large-Scale Scientific Computations, Sozopol, Bulgaria, 2021
• C. Meiser, T. Schuster, Learned Landweber Iteration for the Terahertz Tomography, 10th International Conference 'Inverse Problems: Modelling and Simulation', Malta, 2022

Publications

• Meiser, Clemens, Thomas Schuster, and Anne Wald. "A Classification Algorithm for Anomaly Detection in Terahertz Tomography." International Conference on Large-Scale Scientific Computing. Springer, Cham, 2021.
• Meiser, Clemens, Anne Wald, and Thomas Schuster. "Learned Anomaly Detection with Terahertz Radiation in Inline Process Monitoring." Sensing and Imaging 23.1 (2022): 1-16.