Current Staff Members

Office Hours: Please contact me via e-mail to request an appointment.

Fabian graduated from TU Darmstadt with a BSc. and MSc. in Industrial- and Electrical Engineering and Information Technology, with research specialization in communication technology and sensor systems (KTS). His BSc. was with the Signal Processing Group in the field of fast cooperative localization in distributed wireless sensor networks (2016).

His MSc. were twofold: First with the Chair of Econometrics in the field of Statical Learning methods for Churn Analysis in Telecommunication Industries (2020). Second with the Robust Data Science Group in the topic: Robust and Computationally Efficient Statistical Learning in High-Dimensional Data with The T-Rex Selector (2023).

Research Interests

• False Discovery Rate Control for High-Dimensional Data.
• Finite Random Set Theory and Tracking.
• Stochastic Signal Processing and Time Series Analysis.
• Detection and Estimation Theory.
• Artificial Intelligence.
• High Performance Computing and Efficient Algorithms.

Programming Interests

• C++, Python, R.

Work experience

• Since April 2026, he has been part of the ERC research project ScReeningData (GrantID: 101042407) in the Robust Data Science group as Research Associate.

• From May 2023 till April 2026 he joined the Signal Processing (SPG) and Robust Data Science (RDS) groups as Research Associate and was affiliated with the German federal BMBFTR supported Clusters4Future initiative curATime under the curAISig (GrantID: 03ZU1202MA) project. curAIsig was a joint research project with the University Medical Center Mainz: Klinische Epidemiologie und Systemmedizin, Centrum für Thrombose und Hämostase (CTH). The projects aims were:
  • Development of robust signal processing methods for heart-rate variability (HRV) analysis.
  • Development of statistical learning methods for high-dimensional bio-database analysis.
  • The discovery of novel and reproducible bio-marker signatures.
  • Enablement of leap innovations in precision diagnostics and individualized therapies.
  • Integration of innovative technologies into system oriented biomedical research.

• 2019-2022 Research and Innovation at Deutsche Telekom in positions as:
  • Data Engineer: development of data pipelines aiming for the creation of a comprehensive Big Data set of DT’s Radio Access Network in Germany, as well as in the data aggregation and evaluation of massively distributed sensor networks. Also, data modeling with methods of the field of data driven engineering and statistical learning.
  • Technometrician: applied land site classification, remote sensing, statistical analysis of landsite, and geo-location data along with socio-economics data.

• 2018-2019 Research Intern in Signal Processing and Operations Management at ABB Corporate Research:
  • Signal processing and data-driven engineering for maintenance of gearless mill drives.