Department of Communications and Networking

Ambient Intelligence

The group studies efficient algorithms that enable intelligent spaces and interaction, including on-body and environmental sensing, usable security, optimization and machine learning methods.
Ambient Intelligence

The group develops algorithms for Pervasive and Mobile Systems, in particular with regard to Activity Recognition and Usable Security. The algorithms are analysed, and optimized with respect to constraints in mobile and pervasive environments and their performance is empirically verified in rigorous experimental studies. The results are regularly demonstrated through instrumentations ranging from mobile devices to prototype sensing hardware.

Group homepage


The research group is led by Professor Stephan Sigg.

Sahar Golipoor

Visiting Doctoral Researcher

Latest publications

Knowledge Sharing in AI Services: A Market-based Approach

Thaha Mohammed, Si-Ahmed Naas, Stephan Sigg, Mario Di Francesco 2023 IEEE Internet of Things Journal

Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks

Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Salman Mohebi, Dariush Salami, Elisabeth De Carvalho, Petar Popovski, Stephan Sigg, Michele Zorzi, Andrea Zanella 2022 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022

Detection of an Ataxia-type disease from EMG and IMU sensors

Tobias Dorszewski, Weixuan Jiang, Stephan Sigg 2022 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022

Message from the General and TPC Co-Chairs

Valérie Issarny, Stephan Sigg, Chiara Boldrini, Simone Silvestri 2022 2022 IEEE International Conference on Smart Computing (SMARTCOMP)

Privacy-preserving federated learning based on multi-key homomorphic encryption

Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu 2022 International Journal of Intelligent Systems

Adversary Models for Mobile Device Authentication

René Mayrhofer, Stephan Sigg 2022 ACM COMPUTING SURVEYS


Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg 2022 IEEE Transactions on Mobile Computing

User Localization using RF Sensing

Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth de Carvalho, Zheng Hua Tan, Stephan Sigg 2022 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings

User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars

C. J. Vaca-Rubio, D. Salami, P. Popovski, E. De Carvalho, Z. -H. Tan, S. Sigg 2022 2022 30th European Signal Processing Conference (EUSIPCO)

CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing

Si Zuo, Stephan Sigg, Le Nguyen, Nils Beck, Nico Jähne-Raden, Marie Cathrine Wolf 2022 IEEE Access
More information on our research in the Research database.
Research database
  • Published:
  • Updated:
URL copied!