Completed theses and projects
Master theses
- Kaustubh Murudkar: Development and optimisation of a GNSS antenna system for CubeSats (Supervisors: Prof. Gregor Möller, Prof. Benedikt Soja)
- Marcel Iten: Detection of seismic ionospheric disturbances with machine learning (Supervisors: Laura Crocetti, Shuyin Mao, Federica Fuso, Prof. Benedikt Soja)
- Hugo Umbers: Real-time change detection in GNSS time series data: comparing machine learning methods with classical statistical approaches (Supervisors: Dr. Roland Hohensinn, Prof. Hans-Andrea Loeliger, Dr. Yehuda Bock, Prof. Benedikt Soja)
- Junyang Gou: external page Super Resolution of GRACE Total Water Storage Anomaly using Deep Learning Algorithms (Supervisors: Prof. Benedikt Soja)
- Fabrice Lardon: Development of a georeferencing system for a helicopter-borne radar system (Supervisors: Dr. Gregor Möller, Dr. Matej Varga, Dr. Andreas Bauder, Raphael Moser, Prof. Benedikt Soja)
- Mudathir Awadaljeed: Quality Assessment of VTEC Products Derived from Observations with the Next-Generation VLBI System (Supervisors: Dr. Grzegorz Klopotek, Prof. Benedikt Soja)
- Cyprien Fol: Sensor Fusion of Vision-RTK and Azure Kinect for Outdoor AR Applications (Supervisors: Prof. Benedikt Soja, Dr. Zhenzhong Su)
- Pia Ruttner: Analysis and Prediction of Long Term GNSS Height Time Series and Environmental Loading Effects (Supervisors: Dr. Roland Hohensinn, Prof. Benedikt Soja)
Bachelor theses
- Cino Bernegger: external page Local Disturbance Storm Time Index For Ionospheric Forecasting: Comparison of Global vs. Local Dst (Supervisors: Shuyin Mao, Prof. Dr. Benedikt Soja)
- Tanja Bialek: Analyzing Factors Affecting Smartphone GNSS Data Quality for Atmosphere Monitoring (Supervisors: Yuanxin Pan, Prof. Dr. Benedikt Soja)
- Katharina Cornée-Leplat: external page GNSS displacement time series modeling and snow detection with machine learning (Supervisors: Laura Crocetti, Prof. Dr. Benedikt Soja)
- Andreas Dombos: Prediction of daily GRACE and GRACE-FO solutions (Supervisors: Junyang Gou, Dr. Saniya Behzadpour, Prof. Dr. Benedikt Soja)
- Jessica Edwards and Flurin Roca: external page Comparing Geoid-Quasigeoid Separation Calculation Methods in the FCC Region at CERN (Supervisors: Julia Azumi Koch, Prof. Dr. Benedikt Soja)
- Chloé Pilloud: external page Statistical Analysis of Orbit Prediction Quality for ARIS SAGE CubeSat Satellite (Supervisors: Lukas Müller, Prof. Dr. Benedikt Soja)
- Anne Dickmann: Spaceborne Atmospheric Tomography Onboard Dense Nanosatellite Formations (Supervisors: Dr. Gregor Möller, Prof. Dr. Benedikt Soja)
- Valeria Huber: Retrieval of atmospheric moisture from GNSS measurements onboard a meteodrone (Supervisors: Dr. Gregor Möller, Dr. Grzegorz Klopotek, Dr. Lukas Hammerschmidt, Dr. Jan Heneberger, Prof. Dr. Benedikt Soja)
- Benedikt Raphael Pohl and Fadri Rischatsch: Experimental validation of the georeferencing system for a helicopterborne ground radar system (Supervisors: Dr. Gregor Möller, Dr. Andreas Bauder, Raphael Moser, Prof. Benedikt Soja)
- Elias Zosso: Mapping RO observations using different ML algorithms (Supervisors: Dr. Endrit Shehaj, Laura Crocetti, Prof. Benedikt Soja)
- Christoph Baumann: Using Machine Learning to Predict Earth Deformation from InSAR Time Series (Supervisors: Mostafa Kiani Shahvandi, Alexandra Duckstein, Prof. Benedikt Soja)
- Thajeev Vijayaratnam: Potential of VLBI VGOS telescope in Tahiti for geodesy and astrometry (Supervisors: Dr. Matthias Schartner, Prof. Benedikt Soja)
- Michelle Halbheer: Prediction of atmospheric parameters from GNSS observations and weather models with machine learning (Supervisors: Laura Crocetti, Endrit Shehaj, Mostafa Kiani Shahvandi, Prof. Benedikt Soja)
- Juliette Wicki: Optimizing geodetic VLBI Simulation Parameters using Swarm Intelligence (Supervisors: Dr. Matthias Schartner, Prof. Benedikt Soja)
Semester projects
- Chunyang Gao: external page Modelling integrated water vapour with machine learning and meteorological data (Supervisors: Laura Crocetti, Dr. Matthias Schartner, Prof. Dr. Benedikt Soja)
- Francesc Marti Escofet and Jakub Lucki: Deep-learning-based super resolution of InSAR deformation data using GNSS time series (Supervisors: Mostafa Kiani Shahvandi & Prof. Benedikt Soja & Prof. Fanny Yang)
- Blance Crazzolara: The impact of non-gravitational forces on the stability of the ARIS SAGE microgravity environment (Supervisors: Dr. Gregor Möller, Julian Moosmann, Prof. Dr. Benedikt Soja)
- Daria Martynova and Heinrich Grattenthaler: Understanding anomalies in hydrological models by combining machine learning and satellite gravimetry (Supervisors: Junyang Gou, Dr. Saniya Behzadpour, Prof. Benedikt Soja)
- Thajeev Vijayaratnam and Lia Winkler: external page MPGNET: Site-feasibility assessment for GNSS-R applications (Supervisors: Dr. Matthias Aichinger-Rosenberger, Dr. Roland Hohensinn, Dr. Gregor Möller, Prof. Benedikt Soja)
- Juliette Wicki: external page A low-power GNSS payload board for precise orbit determination onboard the ARIS SAGE microgravity nanosatellite (Supervisors: Dr. Gregor Möller, Alexander Wolf, Julian Moosmann, Prof. Benedikt Soja)
- Junyang Gou, Christine Rösch: external page Machine Learning for Orbit Determination (Supervisors: Endrit Shehaj, Dr. Kangkang Chen, Mostafa Kiani Shahvandi, Prof. Benedikt Soja, Prof. Markus Rothacher)
- Laura Hübner: external page Land motion in the Alps imaged by GNSS (Supervisors: Dr. Elmar Brockmann, Laura Crocetti, Prof. Benedikt Soja, Prof. Konrad Schindler)
- Fabrice Lardon: Development of a low-cost system for direct georeferencing of a helicopter-borne radar system (Supervisors: Dr. Gregor Möller, Dr. Matej Varga, Dr. Andreas Bauder, Raphael Moser, Prof. Dr. Benedikt Soja)