Smart Sensor Systems
Centre of Expertise Digital Operations & Finance
Introduction
The Smart Sensor Systems research group applies deep tech, multimodal sensors, robotics, and AI to make living and working environments safer and healthier (Environmental Health and Safety).
About the research group
Using advanced sensors, integrated data streams, and AI-driven early warning systems, we predict and prevent harm to humans, animals, plants, and machines. In doing so, the research group contributes to current societal challenges related to prevention, safety, health, and sustainability.
Our research focuses on four key themes:
- Health and exposome. We measure total human exposure to environmental factors such as air quality, light, and electromagnetic fields (EMF). Through modular sensor networks and wearables, we make this data applicable in everyday life and in the human-centric workplace.
- Green asset management & hortitech. Using in-situ sensors and remote sensing data, we monitor biodiversity and the health of soil, plants, and trees. In this way, we support data-driven management of green infrastructure and autonomous cultivation systems.
- Predictive maintenance. We monitor the condition of critical infrastructure such as wind turbines, pumps, and motors. By using multimodal sensors, we extend the lifespan of assets and reduce downtime.
- Quantum sensing. We are building an innovative quantum sensing ecosystem with applications such as GPS-independent navigation, underground structure detection, and dark vessel detection.
Within European and national projects, such as NextGEM and GROUNDED, we work closely with students, other research groups, SMEs, and industry partners. We make use of our own facilities, including the EMVlab, Microfabrication Lab, KET Lab, and BETSYLab, as well as partner locations such as the Else Kooi Lab, EWI Lab, Dutch Prognostics Lab, and Deltares Fieldlab. By actively involving students from vocational education to university level, we contribute to a future-proof working population.
About the professor
dr. John Bolte
John graduated from Utrecht University as an Earthquake Seismologist. In 2003, he earned his PhD from the Delft University of Technology, specialising in Acoustic Imaging. Since 2002, he has been working as a scientific project manager for The Netherlands National Institute for Public Health and the Environment (RIVM). He has written, for example, a national guideline for employee protection from electromagnetic fields. At the RIVM, he earned years of experience in the development and application of wearable measuring tools. John has received numerous research grants from ZonMw and RIVM (> 1.25 million euros). He graduated from the VU University Amsterdam in 2011 with a degree in Environmental Epidemiology and was appointed a lector at The Hague University of Applied Sciences in 2016.
ResearchGate profiel
[email protected]
Smart sensors enable us to identify the health risks of staff members at an early stage.
Team
Within our research group, researchers, lecturer-researchers and students work closely with practice partners to conduct research. Together they are committed to translating the results of the research -knowledge and insights- into the practice of education and the region.
