Christian Schroth
Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt
Contact
cschroth@spg.tu-...
work +49 6151 16-21349
fax +49 6151 16-21342
Work
S3|06 251
Merckstr. 25
64283
Darmstadt
Office Hours: upon request
Christian received the B. Sc. and M. Sc. degrees both in Electrical Engineering and Information Technology with major in Communication Engineering and Sensor Systems from Technische Universität Darmstadt, in 2017 and 2020, respectively. His bachelor thesis was entitled “Dempster-Shafer-Theory-Based Robust Sequential Detection in Distributed Sensor Networks”. During his masters he spent six month as a visiting researcher at the Temasek Laboratories@NTU (opens in new tab) (Nanyang Technology University) in Singapore, where he worked on the localization of human motions by using WiFi signals. Christian’s master thesis investigated robust cluster enumeration criteria based on elliptical and skewed distributions. In 2021 he was awarded the Ernst-Blickle-Studienpreis (opens in new tab) from the SEW-Eurodrive Foundation for his master thesis.
In April 2020 he joined the Signal Processing Group at TU Darmstadt and commenced working on his PhD.
Current Student Projects
| Attacks on Federated and Decentralized Learning Algorithms | Projectseminar |
Completed Student Projects
| Speaker Verification using Robust Mixture Models | Bachelor's Thesis | 10/2023 |
| Attacks on Federated and Decentralized Learning Algorithms | Proseminar | 09/2023 |
| Vital Sign Estimation using SFCW Radar | Bachelor's Thesis | 05/2023 |
| Vital Signs Extraction with Stepped-Frequency Continuous Wave Radar | Master's Thesis | 05/2023 |
|
Vital Sign Monitoring Using Radar (co-supervision with Michael Muma (opens in new tab)) |
Master's Thesis | 11/2022 |
| Calibration and Test of the Synthetic Aperture Sonar Lab | Bachelor's Thesis | 07/2022 |
| Communication Algorithms in Distributed Networks for Robust Clustering | Proseminar | 04/2022 |
Teaching
Digital Signal Processing (opens in new tab) (WS 20/21, WS 21/22, WS 23/24)
Fundamentals of Signal Processing (opens in new tab) (SS 21, SS 22)
Laboratory of Biomedical Engineering (opens in new tab) Lab 3 (WS 22/23, WS 23/24)
Publications
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