Short Biography:

since 2017		Actively involved in the university didactics Lernen^Coaching des Projekts KIT-Lehre^Forschung
07/2014 - 02/2019		Ph.D. student of the Graduate School for Climate and Environment at KIT
2015 - 2018		Scholar of Deutsche Telekom Stiftung
2016		Three months research stay at Consiglio Nazionale delle Ricerche (Istituto per le Applicazioni del Calcolo) Bari, Italy
2014		Five months research stay at the German Aerospace Center (Deutschen Zentrum für Luft- und Raumfahrt, Institut für Methodik der Fernerkundung, Signal Processing in Earth Observation) Oberpfaffenhofen
04/2014		Master thesis entitled „Towards the rigorous fusion of GNSS and InSAR observations for the purpose of water vapor retrieval“
2012 - 2014		Master studies of Geodesy and Geoinformatics / Topography in the context of a French-German double degree between KIT and INSA de Strasbourg
2008 – 2011		Bachelor studies of Geodesy and Geoinformatics / Topography in the context of a French-German double degree between KIT and INSA de Strasbourg

Research Focus:

Determination of atmospheric water vapor using GNSS
Analysis of atmospheric signals in SAR interferograms
Tomographic reconstruction of the neutrospheric water vapor distribution using GNSS and InSAR wet delays
Compressive Sensing vs. Least Squares

Teaching:

Fit für Studium und Beruf within the Bachelors degree in geodesy and geoinformatics

Current didactics project:

KIT-Lehre^Forschung, im Teilprojekt KIT-Lernen^Coaching

Publications

2021

Rabold, J.; Heublein, M.; Mayer, M. (2021). Beteiligung von Studierenden bei der Weiterentwicklung des Lehr-Lernsystems. Die Hochschullehre, (6), 520–528. doi:10.3278/HSL2041W
2020

Heublein, M.; Bradley, P. E.; Hinz, S. (2020). Observing geometry effects on a Global Navigation Satellite System (GNSS)-based water vapor tomography solved by least squares and by compressive sensing. Annales geophysicae, 38 (1), 179–189. doi:10.5194/angeo-38-179-2020
2019

Heublein, M. E. A. (2019). GNSS and InSAR based water vapor tomography: A Compressive Sensing solution. PhD dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000093403
2018

Heublein, M.; Alshawaf, F.; Erdnüß, B.; Zhu, X. X.; Hinz, S. (2018). Compressive sensing reconstruction of 3D wet refractivity based on GNSS and InSAR observations. Journal of geodesy, 1–21. doi:10.1007/s00190-018-1152-0
2015

Heublein, M.; Zhu, X. X.; Alshawaf, F.; Mayer, M.; Bamler, R.; Hinz, S. (2015). Compressive sensing for neutrospheric water vapor tomography using GNSS and InSAR observations. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26-31 July 2015, 5268–5271, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2015.7327023
2014

Heublein, M.; Alshawaf, F.; Mayer, M.; Hinz, S.; Heck, B. (2014). Towards a rigorous fusion of GNSS and InSAR observations for the purpose of water vapor retrieval. KIT Scientific Publishing. doi:10.5445/KSP/1000043259

More detailed information is available within the KIT-network.