Romana Boiger

Romana Boiger

Tenure-track scientist working at the intersection of applied mathematics, data science, and interdisciplinary research.

Publications

Journal Articles

  1. A. Albà, R. Boiger, D. Rochman, A. Adelmann. Lasso Monte Carlo, a Novel Method for High Dimensional Uncertainty Quantification. Journal of Applied Statistics, 52(15):2799-2835, 2025.
  2. S. Bettoni, J. Kallestrup, G. Tekin, M. Böge, R. Boiger. Machine Learning for Orbit Steering in Presence of Nonlinearities. Journal of Synchrotron Radiation 32:609-621, 2025.
  3. R. Boiger, B. Xi, G.-D. Miron, M. Bonvin, J.-L. Provis, S. V. Churakov, N. I. Prasianakis. Machine Learning-Accelerated Discovery of Green Cement Recipes. Materials and Structures 58(5):173(20pp), 2025.
  4. R. Boiger, S. V. Churakov, I. Ballester Llagaria, G. Kosakowski, R. Wüst, N. I. Prasianakis. Direct mineral content prediction from drill core images via transfer learning. Swiss Journal of Geosciences, 117, 8, 2024.
  5. A. Albà, A. Adelmann, L. Münster, D. Rochman, R. Boiger. Fast uncertainty quantification of spent nuclear fuel with neural networks. Annals of Nuclear Energy, 196, 110204, 2024.
  6. S. Bettoni, G. L. Orlandi, F. Salomone, R. Boiger, R. Ischebeck, R. Xue, A. Mostacci. Machine learning based longitudinal virtual diagnostics at SwissFEL. Review of Scientific Instruments, 95(1), 015110, 2024.
  7. R. Boiger, R. L. Modini, A. Moallemi, D. Degen, M. Gysel-Beer, A. Adelmann. Retrieval of aerosol properties from in situ, multi-angle light scattering measurements using invertible neural networks. Journal of Aerosol Science, 163, 105977, 2021.
  8. R. Bellotti, R. Boiger, A. Adelmann. Fast, efficient and flexible particle accelerator optimisation using densely-connected and invertible neural networks. Information, 12(9), 2021.
  9. R. Filippozzi, J. Rabelo, R. Boiger, A. Leitão. A range-relaxed criteria for choosing the Lagrange multipliers in the iterated Tikhonov Kaczmarz method for solving systems of linear ill-posed equations. Inverse Problems, 37(4), 2021.
  10. R. Boiger, A. Leitão, B. F. Svaiter. Range-relaxed criteria for choosing the Lagrange multipliers in nonstationary iterated Tikhonov method. IMA Journal of Numerical Analysis, 40(1):606–627, 2020.
  11. R. Boiger, A. Fiedler, J. Hasenauer, B. Kaltenbacher. Continuous analogue to iterative optimization for PDE-constrained inverse problems. Inverse Problems in Science and Engineering, 27(6):710–734, 2018.
  12. R. Boiger, J. Hasenauer, S. Hroß, B. Kaltenbacher. Integration based profile likelihood calculation for PDE constrained parameter estimation problems. Inverse Problems, 32(12):125009, 2016.
  13. R. Boiger, B. Kaltenbacher. An online parameter identification method for time dependent partial differential equations. Inverse Problems, 32(4):045006, 2016.

Conference Proceedings

  1. R. Boiger, E. Fahrig, S. Saha, G. Kosakowski, N.I. Prasianakis, R. Wüst, J. Becker and S.V. Curakov. Machine-learning approach for mineralogy prediction from drill core images in clay-rich and adjacent formations. Mont Terri Technical Meeting Proceedings, 43rd Mont Terri Technical Meeting, 29-30 April 2026.
  2. R. Boiger, S.V. Churakov, G. Kosakowski, R. Wüst and N.I. Prasianakis. Automated Mineralogy and Effective Diffusivity Prediction from Drill Core Images Using Computer Vision and Deep Learning. Publisher: European Association of Geoscientists & Engineers, Conference Proceedings Sixth EAGE Borehole Geology Workshop, Sep 2025, Volume 2025, p.1 - 4
  3. S. Bettoni, J. Kallestrup, M. Böge, R. Boiger. Machine learning for orbit steering in synchrotrons. 15th International Particle Accelerator Conference Proceedings (JACoW), 2024.
  4. F. Ringsleben, M. Benndorf, T. Haenselmann, R. Boiger, M. Mücke, M. Fehr, D. Motthes. A new approach using characteristic video signals to improve the stability of manufacturing processes. Digital Image Computing: Techniques and Applications (DICTA), pages 1–7, 2018.
  5. R. Boiger, S. Defregger, A. Köck, M. Mücke, R. Wimmer-Teubenbacher, G. Toschkoff. Temperature modulated operation of SnO2-based gas sensor arrays. 12th International Conference on Advanced Semiconductor Devices and Microsystems (ASDAM), 2018.
  6. R. Wimmer-Teubenbacher, S. Defregger, R. Boiger, A. Köck, I. Hotovy, M. Mikolasek, M. Predanocy. Advanced technology processes for manufacturing of SnO2 and NiO-based gas sensors and their properties. 12th International Conference on Advanced Semiconductor Devices and Microsystems (ASDAM), 2018.
  7. R. Boiger, S. Defregger, M. Grbic, A. Köck, M. Mücke, R. Wimmer-Teubenbacher, B. Zaragoza Travieso. Exploring temperature-modulated operation mode of metal oxide gas sensors for robust signal processing. EUROSENSORS Proceedings, 2018.
  8. R. Boiger, G. Millner, M. Mücke, B. Zaragoza Travieso. Towards robust visual wafer cleaning anomaly detection. 18th European Advanced Process Control and Manufacturing Conference, Dresden, 2018.