Research focus
The Auto-ID Lab based at ETH Zurich and at the University of St. Gallen conducts research in the field of next generation Internet of Things technologies that will revolutionize interfaces between users and objects. Learn more about our research focus and related projects. We are constantly looking for new collaborations and motivated Master students and PhD candidates. Our current research topics include:
Consumers will benefit from making better decisions supported by Artificial Intelligence and Personalization.
Spatial computing will bring about a new form of commerce within our homes with unprecedented levels of presence.
Mixed reality will allow users and things to connect in new ways, requiring novel interfaces between consumers and the internet-of-things.
Industrial processes will benefit from mixed reality, as spatial computing allows for novel interfaces, faster information retrieval, remote maintenance and many more useful applications.
Next Generation Internet of Things Architecture
Designing and shaping the building blocks (e.g. digital receipts) for a next generation Internet of Things that enables cross-channel, consumer-driven global commerce and B2B2C interaction.
Latest projects
eCommerce Widget for Nutrition and Sustainability
Leveraging personal eCommerce widget to support decision making towards healthier and more sustainable food choices. Motivation Diet-related non-communicable diseases have become the leading cause of mortality [...]
FoodCoach: Societal Implications of Digital Receipt-based Diet Monitoring & Interventions enabled by Graph Analytics Techniques
Join Now Join the FoodCoach project as Participant Join Now & Receive 20 CHF + A Nutrition Assessment About the FoodCoach research project Diet-related non-communicable diseases [...]
HackZurich: Mixed Reality HealthCoach Challenge
Mixed Reality HealthCoach Callenge by CSS, MagicLeap and Auto-ID Labs Problem: Global Health Crisis Today’s nutrition patterns drive chronic diseases: In CH: most men (94%) & [...]
Latest publications
About us
Working with GS1
Our primary research partner is GS1 – the not-for-profit organization that is renowned for establishing standards for global commerce such as introducing barcodes to the retail industry over 40 years ago.
Auto-ID Labs Network
We are proud to be part of the global Auto-ID Labs – the leading network of academic research laboratories in the field of Internet of Things. We collaborate closely with our sister labs at MIT, University of Cambridge, KAIST, Fudan University, and Keio University.
Career
We are looking for motivated master student and PhD students. Check our current positions here.
Contact us
If you have any open questions, please feel free to contact us.