Stephan Sigg
Associate Professor
Associate Professor
T407 Dept. Communications and Network
Stephan Sigg is an Assistant Professor at Aalto University in the Department of Communications and Networking. His research interests include the design, analysis and optimisation of algorithms for distributed and ubiquitous systems. Especially, his work covers proactive computing, distributed adaptive beamforming, context-based secure key generation and device-free passive activity recognition. Stephan is an editorial board member of the Elsevier Journal on Computer Communications and has been a guest editor for the Springer Personal and Ubiquitous Computing Systems Journal. He has served on the organizing and technical committees numerous prestigious conferences including IEEE PerCom, ACM Ubicomp.
Full researcher profile
https://research.aalto.fi/...
Areas of expertise
Context prediction, Distributed adaptive Beamforming, Mobile Crowdsourcing, Physical layer mathematical calculations, Device-free activity recognition, Spontaneous secure device pairing
Honors and awards
VDI prize of the VDI-Nordhessen for an outstanding dissertation in the year 2008 (1st prize)
Award or honor granted for a specific work
Department of Communications and Networking
Jan 2009
Dissertation with honours in computer science (summa cum laude)
Award or honor granted for a specific work
Department of Communications and Networking
Jan 2008
Research groups
- Ambient Intelligence
Publications
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
Tesla-Rapture
Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg
2022
IEEE Transactions on Mobile Computing
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
2021
ACM COMPUTING SURVEYS
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
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)
Pantomime: Mid-Air Gesture Recognition with Sparse Millimeter-Wave Radar Point Clouds
Sameera Palipana, Dariush Salami, Luis A. Leiva, Stephan Sigg
2021
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Camouflage learning
Le Ngu Nguyen, Stephan Sigg, Jari Lietzén, Rainhard Dieter Findling, Kalle Ruttik
2021
IEEE Transactions on Mobile Computing
Real-time emotion recognition for sales
Si Ahmed Naas, Stephan Sigg
2021
Proceedings of 16th International Conference on Mobility, Sensing and Networking (MSN 2020)