MSc N Kruse
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics
Expertise: Classification algorithms for human behaviour through micro-doppler signatures.
Nicolas was born in Leiden, the Netherlands, in 1993. He graduated in Applied Physics (Bachelor) in 2017, at the Delft University of Technology. Afterwards, Nicolas enrolled in the Physics programme (Master) at the University of Groningen. Here he joined the collaboration for the Large Hadron Collider Beauty experiment to work on his master thesis, which consisted of the application of machine learning tools on particle classification. He graduated in August of 2020. Nicolas joined the MS3 group in March of 2021, where he is currently researching classification algorithms for human behaviour through micro-doppler signatures.
Radar-aware Activity Recognition with Innovative Temporal Networks
- A Survey on Radar-Based Continuous Human Activity Recognition
Ullmann, Ingrid; Guendel, Ronny G.; Kruse, Nicolas Christian; Fioranelli, Francesco; Yarovoy, Alexander;
IEEE Journal of Microwaves,
pp. 1-13, 2023. DOI: 10.1109/JMW.2023.3264494
- Continuous Human Activity Classification with Radar Point Clouds and Point Transformer Networks
Kruse, Nicolas C.; Fioranelli, Francesco; Yarovoy, Alexander;
In 2023 20th European Radar Conference (EuRAD),
pp. 302-305, 2023. DOI: 10.23919/EuRAD58043.2023.10289503
- Calibration of Cognitive Classification Systems for Radar Networks for Increased Reliability
Svenningsson, Peter; Kruse, Nicolas; Fioranelli, Francesco; Yarovoy, Alexander;
In 2022 IEEE Radar Conference (RadarConf22),
pp. 1-6, 2022. DOI: 10.1109/RadarConf2248738.2022.9764292
- Exploiting Radar Data Domains for Classification with Spatially Distributed Nodes
R. G. Guendel; N.C. Kruse; F. Fioranelli; A. Yarovoy;
In 2022. SET-312 Research Specialists' Meeting over Distributed Multi-Spectral/Statics Sensing ; Conference date: 23-05-2022 Through 24-05-2022.
Last updated: 8 Feb 2023