Martin Gölz

Current Staff Members

Dr.-Ing. Martin Gölz

Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt.

Contact

goelz@spg.tu-...

work +49 6151 16-21351
fax +49 6151 16-21342

Work S3|06 251
Merckstr. 25
64283 Darmstadt

Links

Office Hours: upon request

Martin received his B.Sc. in Electrical Engineering and Information Technology with major in Communication Engineering and Sensor Systems (CES) from Technische Universität Darmstadt in September 2016. In his bachelor's thesis, he dealt with bootstrapping sequential probability ratio tests. He received the “Rohde & Schwarz-Preis” for the best graduate of the year in CES or Computer Engineering. Afterwards, he spent half a year as a research assistant at Aalto University, Finland, to work on nonparametric detection methods in the group of Prof. D.Sc. (EE) Visa Koivunen.

At the beginning of his Master's, he was accepted into the Future Minds Student Program by Siemens AG and consequently started working part-time in the project management department of Siemens Mobility Division in Mannheim. For his master's thesis on spatial inference in large-scale sensor networks, he moved back to Finland to continue the collaboration with Aalto University. He received his M.Sc. with honors from Technische Universität Darmstadt in March 2019.

From 2019, he worked toward his PhD with the Signal Processing Group, which concluded with the successful defense of his dissertation entitled Spatial Inference in Large-Scale Sensor Networks via Multiple Hypothesis Testing in February 2025. Since then, he has continued with the Signal Processing Group as a postdoctoral researcher.

His research interest is in the field of (robust) statistical signal processing, in particular in signal detection, large-scale sensor networks and multiple hypothesis testing. He focuses on both, the development of new theoretical approaches, as well as their implementation in practice. Watch the video of his presentation at the 2022 International Conference on Acoustics, Speech, and Signal Processing here, or his 3MT video for EUSIPCO 2023 below to learn more about his work!

3MT video from EUSIPCO 2023

Open Student Projects

I am offering student projects (pro and project seminars, bachelor's and master's theses) related to my core research interests. Those are in signal processing application of multiple hypothesis testing (MHT), with a particular focus on spatial anomaly detection via large-scale sensor networks and its core application areas, such as radar and the Internet of Things (IoT).

If you have a different, specific topic in mind, I am happy to discuss the idea with you and see if we can shape it into a suitable student project together.

To get in touch, shoot me an e-mail. We will then arrange an informal first meeting.

Completed Student Projects

False discovery rate control under dependence	proseminar
Parametric target velocity estimation in heterodyne interferometry	master's thesis
Spatial inference in large-scale sensor networks: Practical challenges and applications	master's thesis
Spatial multiple hypothesis testing with hidden Markov random fields	bachelor's thesis
Realization of a large-scale wireless sensor network for anomaly detection with multiple hypothesis testing	bachelor's thesis
Modeling spatial dependencies in test statistics using copulas	bachelor's thesis
Robust bootstrap for large-scale data	proseminar
Spatio-temporal inference using multiple testing and reinforcement learning	master's thesis
Large-scale spatial inference via a temperature/humidity wireless sensor network	bachelor's thesis
Robust bootstrap for large-scale data	project seminar

Teaching

Adaptive Filters (SS 19)

Digital Signal Processing (WS 19/20, WS 20/21, WS 22/23)

Fundamentals of Signal Processing (SS 19, SS 20)