Dr.-Ing. Martin Gölz
Former Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt.
Contact
goelz@spg.tu-...
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. He continued with the Signal Processing Group as a postdoctoral researcher until end of September 2025, when left Academia to pursue a career in Industry.
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
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)
Publications
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