Department of Communications and Networking

Stephan Sigg

Assistant Professor

Contact information

Email

[email protected]

Postal address

Maarintie 8

Mobile phone

+358504666941

Full researcher profile

https://research.aalto.fi/...

Description

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.

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

Award or honor granted for a specific work

Department of Communications and Networking

Jan 2009

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 2008

Dissertation with honours in computer science (summa cum laude)

Research groups

Ambient Intelligence

Publications

Ambient Intelligence, Department of Communications and Networking

On the Use of Stray Wireless Signals for Sensing: A Look beyond 5G for the Next Generation of Industry

Publishing year: 2019 COMPUTER

Department of Communications and Networking, Ambient Intelligence

Wireless Multifrequency Feature Set to Simplify Human 3D Pose Estimation

Publishing year: 2019 IEEE Antennas and Wireless Propagation Letters

Helsinki Institute for Information Technology HIIT, Department of Computer Science, Professorship Kaski S., Department of Communications and Networking, Professorship Kaski K., Ambient Intelligence

Mobile Brainwaves

Publishing year: 2019 IEICE Transactions on Communications

Department of Communications and Networking, Ambient Intelligence

Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates

Publishing year: 2019 ACM TRANSACTIONS ON THE WEB

Department of Communications and Networking, Ambient Intelligence

Closed-Eye Gaze Gestures

Publishing year: 2019 Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings

Department of Communications and Networking, Ambient Intelligence

Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest

Publishing year: 2019 Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings

Department of Communications and Networking, Ambient Intelligence

Security Properties of Gait for Mobile Device Pairing

Publishing year: 2019 IEEE Transactions on Mobile Computing

Department of Signal Processing and Acoustics, Ambient Intelligence, Department of Communications and Networking

Robust and Responsive Acoustic Pairing of Devices Using Decorrelating Time-Frequency Modelling

Publishing year: 2019 European Signal Processing Conference

Department of Communications and Networking, Ambient Intelligence

Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit

Publishing year: 2018 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

Department of Communications and Networking, Ambient Intelligence

Representation Learning for Sensor-based Device Pairing

Publishing year: 2018 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018