Stephan Sigg
Associate Professor
Associate Professor
T412 Department of Information and Communications Engineering
Stephan Sigg is an Associate Professor at Aalto University in the Department of Information and Communications Engineering. 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/...
Kompetensområde
Context prediction, Distributed adaptive Beamforming, Mobile Crowdsourcing, Physical layer mathematical calculations, Device-free activity recognition, Spontaneous secure device pairing
Utmärkelser
Dissertation with honours in computer science (summa cum laude)
Award or honor granted for a specific work
Department of Communications and Networking
Jan 2008
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
Forskningsgrupp
- Ambient Intelligence
Publikationer
Towards Green Edge Intelligence
Sami Ben Cheikh, Stephan Sigg
2024
IoT '23: Proceedings of the 13th International Conference on the Internet of Things
Direction-agnostic gesture recognition system using commercial WiFi devices
Yuxi Qin, Stephan Sigg, Su Pan, Zibo Li
2024
Computer Communications
Message from the general and tpc co-chairs
Abhishek Dubey, Niki Trigoni, Aron Laszka, Stephan Sigg
2023
2023 IEEE International Conference on Smart Computing (SMARTCOMP)
Accurate RF-sensing of complex gestures using RFID with variable phase-profiles
Sahar Golipoor, Stephan Sigg
2023
2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings
Detecting an Ataxia-Type Disease from Acceleration Data
Eileen Kranzle, Stephan Sigg
2023
2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
Introduction to the Special Issue on Wireless Sensing for IoT
Huadong Ma, Yuan He, Mo Li, Neal Patwari, Stephan Sigg
2023
ACM Transactions on Internet of Things
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
Fast converging Federated Learning with Non-IID Data
Si Ahmed Naas, Stephan Sigg
2023
2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
A Joint Radar and Communication Approach for 5G NR using Reinforcement Learning
Dariush Salami, Wanru Ning, Kalle Ruttik, Riku Jantti, Stephan Sigg
2023
IEEE Communications Magazine
Tesla-Rapture
Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg
2023
IEEE Transactions on Mobile Computing