J. Klein Brinke MSc (Jeroen)


About Me

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.

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 will become an assistant professor at Pervasive Systems in Joint Communication and Sensing and will coordinate M2 Creative Technology (Smart Environments), lecture the core of Smart Environments, and supervise the Project of M2 at the Vrije Universiteit Amsterdam, in an collaboration between the UT and 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.


Engineering & Materials Science
Channel State Information
Convolutional Neural Networks
Information Analysis
Predictive Maintenance
Remote Sensing
Transfer Learning
Medicine & Life Sciences
Digital Libraries


Klein Brinke, J. , Chiumento, A. , & Havinga, P. J. M. (2023). Channel State Information for Human Activity Recognition with Low Sampling Rates. In UMUM 2023: Second Workshop on Ubiquitous and Multi-domain User Modeling (pp. 614-620)
Klein Brinke, J. , Chiumento, A. , & Havinga, P. J. M. (Accepted/In press). Joint Communication and Sensing for Human Activity Recognition in Wi-Fi 6E. 1-5. Poster session presented at 5th IFIP International Internet of Things Conference, IoT 2022, Amsterdam, Netherlands.
Klein Brinke, J. , Chiumento, A. , & Havinga, P. J. M. (2021). Personal Hygiene Monitoring Under the Shower Using Wi-Fi Channel State Information. In R-H. Liang, A. Chiumento, P. Pawełczak, & M. Funk (Eds.), CHIIoT 2021: Workshops on Computer Human Interaction in IoT Applications CEUR. http://ceur-ws.org/Vol-2996/

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Courses Academic Year  2023/2024

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  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5032
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5032
P.O. Box 217
7500 AE Enschede
The Netherlands

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