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The Bosch IoT Lab investigates business models in the Internet of Things (IoT) and explores disruptive IoT products and services. In the realm of our business model research activities, we derive actionable insights to manage the digital transformation of large manufacturing companies. In the domain of technology and business incubation, we investigate the potential of the IoT, machine learning and blockchain to develop and validate disruptive solutions in the domains of mobility, health and energy. Ultimately, our mission is to support Bosch scale its IoT business, advance scientific knowledge, and create a meaningful impact for the better. The lab is a research initiative of:

LATEST NEWS

The Bosch IoT Lab goes Harvard

February 1st, 2023|

We’re excited that Sven Jung, one of our current PhD students, has been selected as a Visiting PhD Fellow at Harvard University. Sven will [...]

“Machine learning to detect drunk driving” accepted at CHI 2023

January 22nd, 2023|

The ACM Conference on Human Factors in Computing Systems (CHI 2023) accepted our paper "Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving". The ACM CHI [...]

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LATEST PROJECTS

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LATEST PUBLICATIONS

Koch, K., Maritsch, M., van Weenen, E., Feuerriegel, S., Pfäffli, M., Fleisch, E., Weinmann, W., Wortmann, F., Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving, Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, and Felix Wortmann. 2023. Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23). (forthcoming). [PDF]

Stöth, F., Koch, K., Bantle, M., Pütz, P., Wortmann, F., Weinmann, W., Increase of PEth after Single Consumption of Alcohol and Evaluation of a Volumetric DBS Filter Paper Device, Frederike Stöth, Kevin Koch, Matthias Bantle, Philipp Pütz, Felix Wortmann, Wolfgang Weinmann, Increase of PEth after Single Consumption of Alcohol and Evaluation of a Volumetric DBS Filter Paper Device, Journal of Analytical Toxicology, 2023. [PDF]

Lehmann, V., Föll, S., Maritsch, M., van Weenen, E., Kraus, M., Lagger, S., Odermatt, K., Albrecht, C., Fleisch, E., Züger, T., Wortmann, F., Stettler, C., Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data, Diabetes Care 2023, dc222290, 10.2337/dc22-2290.

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