Zilverling

dr.ir. J. Klein Brinke (Jeroen)

Assistant Professor
EEMCS-CS-PS
Zilverling 5005
j.kleinbrinke@utwente.nl
+31534896434
Business card

Jeroen Klein Brinke finished his B.Sc in Technical Computer Science at the University of Twente (part of the first wave of TOM students) in 2016 with research being done in wireless sensor networks (flexible sensors in sports applications). In 2018, he received his M.Sc. (cum laude) in Technical Computer Science (specialization: Wireless and Sensor Systems) with research in deep learning and device-free sensing. In June 2024, he successfully defended his PhD dissertation entitled "Interwoven Waves: Enhancing the Scalability and Robustness of Wi-Fi Channel State Information for Human Activity Recognition" (link) at the University of Twente.

His research focuses on progressing joint communication and sensing in Wi-Fi applications for human health-care (and beyond), by actively doing research into channel state informaton-based device-free sensing in human activity recognition for health care, but areas of interest also include animal monitoring and smart cities. Current research focuses on employing WiFi 6E (and the new 6 GHz frequency) and many realistically-placed IoT devices, over specifically placed and less scalable solutions (in order to reduce future e-waste from niche solutions). Other areas include exploring, adapting, and implementing input-agnostic and scalable solutions in real-life settings for channel state information using deep and federated learning. Additionally, he is also actively increasing his knowledge in antenna design and radio-wave/signal propagation in general.

Starting September 2023, he started as the coordinator for M2 Creative Technology (Smart Environments), lectured the core of Smart Environments, and supervised the Project of M2 at the Vrije Universiteit Amsterdam in a collaboration between the UT and VU. From July 2024, he is an assistant professor at Pervasive Systems (EEMCS) in Joint Communication and Sensing and will facilitate M8 Creative Technology (VU). 

Between 2019 and 2022, he was actively involved in his old Bachelor programme, B-TCS, as a mentor (the Housekeeper initiative) for first-year students and participating as a lecturer and supervisor in multiple BSc courses, functioning as the Head of Housekeepers between 2020-2022. Since 2019, he also actively organizes the M.Sc. course Pervasive Computing, formally known as Ubiquitous Computing, at the University of Twente.

Expertise

  • Computer Science

    • Channel State Information
    • Human Activity Recognition
    • Wi-Fi
    • Convolutional Neural Network
    • Activity Recognition

  • Earth and Planetary Sciences

    • State
    • Recognition
    • Human Activity

Organisations

Publications

2026

One-Sided CSI-Based Sensing in Adversarial Through-Wall Settings (2026)In Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings (pp. 1-19) (Lecture Notes in Computer Science; Vol. 16292). Springer. Bakanas, V. & Klein Brinke, J.https://doi.org/10.1007/978-3-032-13312-0_1

2025

Variable Packet Arrival Rates and Activity Durations in Human Activity Recognition with Wi-Fi Channel State Information (2025)In Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) (pp. 559-576) (Lecture Notes in Networks and Systems; Vol. 1553). Springer. Klein Brinke, J. & Chiumento, A.https://doi.org/10.1007/978-3-031-99958-1_36Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras (2025)[Working paper › Preprint]. ArXiv.org. Küpers, X., Klein Brinke, J., Bemthuis, R. H. & Durmaz - Incel, Ö.https://doi.org/10.48550/arXiv.2506.00904Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras (2025)In Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) (pp. 402-418) (Lecture Notes in Networks and Systems; Vol. 1567). Springer. Kupers, X., Klein Brinke, J., Bemthuis, R. & Durmaz - Incel, Ö.https://doi.org/10.1007/978-3-032-00071-2_25

2024

Interwoven Waves: Enhancing the Scalability and Robustness of Wi-Fi Channel State Information for Human Activity Recognition (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Klein Brinke, J.https://doi.org/10.3990/1.9789036561419Using Federated Learning and Channel State Information-Based Sensing for Scalable and Realistic At-Home Healthcare (2024)In EICC 2024: European Interdisciplinary Cybersecurity Conference (pp. 186-193). ACM Press. Klein Brinke, J., van der Linden, M. & Havinga, P. J. M.https://doi.org/10.1145/3655693.3660254

2023

Wi-Gitation: Replica Wi-Fi CSI Dataset for Physical Agitation Activity Recognition (2023)Data, 9(1). Article 9. Sharma, N., Brinke, J. K., Jansen, L. M. A. B., Havinga, P. J. M. & Le, D. V.https://doi.org/10.3390/data9010009Utilising Emotion Monitoring for Developing Music Interventions for People with Dementia: A State-of-the-Art Review (2023)Sensors (Switzerland), 23(13). Article 5834. Vuijk, J. G. J., Klein Brinke, J. & Sharma, N.https://doi.org/10.3390/s23135834Channel State Information for Human Activity Recognition with Low Sampling Rates (2023)In UMUM 2023: 2nd Workshop on Ubiquitous and Multi-domain User Modeling (pp. 614-620). Klein Brinke, J., Chiumento, A. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops56833.2023.10150403

Research profiles

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Address

University of Twente

Zilverling (building no. 11), room 5005
Hallenweg 19
7522 NH Enschede
Netherlands

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