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.

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Contact

The research group is led by Professor Stephan Sigg.

Latest publications

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

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

Knowledge Sharing in AI Services: A Market-based Approach

Thaha Mohammed, Si-Ahmed Naas, Stephan Sigg, Mario Di Francesco 2022 IEEE Internet of Things Journal

Tesla-Rapture

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

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

A global brain fuelled by local intelligence

Si Ahmed Naas, Thaha Mohammed, Stephan Sigg 2021 Proceedings of 16th International Conference on Mobility, Sensing and Networking (MSN 2020)

Camouflage Learning

Stephan Sigg, Le Ngu Nguyen, Jing Ma 2021 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021

Zero-Shot Motion Pattern Recognition from 4D Point-Clouds

Dariush Salami, Stephan Sigg 2021 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021

Recurrent convolutional neural networks for poet identification

Dariush Salami, Saeedeh Momtazi 2021 Digital Scholarship in the Humanities

A FAIR Extension for the MQTT Protocol

Dariush Salami, Olga Streibel, Marcus Rhenius, Stephan Sigg 2021 Proceedings of 16th International Conference on Mobility, Sensing and Networking (MSN 2020)
More information on our research in the Research database.
Research database
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