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
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%) & [...]
Receipt2Nutrition: How to join
Our mission The aim of this project is to support the fight against diet-related diseases. Therefore we are looking for volunteers who donate their anonymized shopping data [...]
HoloSelecta
Leveraging mixed reality and food product composition data in order to increase saliency of nutritional quality of groceries at the point of sale. Motivation Diet-related non-communicable diseases have become [...]
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.