Prof. Dr. Pia Heins

Prof. Dr. Pia Heins


  • Mathematik
  • Data Science
  • Machine Learning
  • Datenbanken


Ingenieurinformatik und angewandte Mathematik (EIT-IAM)

Akademischer Werdegang

  • Berufung: Professor für Datenbanken, Data Mining und Mathematik, Hochschule Hannover, 2020
  • Promotion: „Reconstruction Using Local Sparsity – A Novel Regularization Technique and an Asymptotic Analysis of Spatial Sparsity Priors“, Westfälische Wilhelms-Universität Münster, 2014
  • Diplom der Mathematik: „Sparse Model-Based Reconstruction in Dynamic Positron Emission Tomography“, Westfälische Wilhelms-Universität Münster, 2011


  • Koulouri A.; Heins P.; Burger M.: Adaptive Superresolution in Deconvolution of Sparse Peaks. In: IEEE Transactions on Signal Processing 69, 2020, pp. 165 - 178, DOI: 10.1109/TSP.2020.3037373
  • Schlechter T.; Fischer J.; Heins P.: Bike Gear Mode Detection and Automated Chain Maintenance Using Solid-Borne Sound Analysis. In: 21st International Conference on Research and Education in Mechatronics (REM), 2020, DOI: 10.1109/REM49740.2020.9313879
  • Heins, P.; Möller, M.; Burger, M.: Locally Sparse Reconstruction Using the $$\ell^{1,\infty}$$-Norm. In: Inverse Problems and Imaging (IPI) 9 (2015), November, No. 4, pp. 1093 – 1137, DOI: 10.3934/ipi.2015.9.1093
  • Engbers, R.; Benning, M.; Heins, P.; Schäfers, K.; Burger, M.: Sparse Recovery in Myocardial Blood Flow Quantification via PET. In: IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011, pp. 3742 – 3744, DOI: 10.1109/nssmic.2011.6153707
  • Benning, M.; Heins, P.; Burger, M.: A Solver for Dynamic PET Reconstruction based on Forward-Backward Splitting. In: ICNAAM Conference Proceedings Bd. 1281, AIP Journal of Physics, September 2010, pp. 1967 – 1970, DOI: 10.1063/1.3498318