Stephan Sigg
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
Ambient Intelligence, Department of Communications and Networking

Learning with Vertically-Partitioned Data, Binary Feedback, and Random Parameter Update

Publishing year: 2019 INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
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

Security Properties of Gait for Mobile Device Pairing

Publishing year: 2019 IEEE Transactions on Mobile Computing
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
Ambient Intelligence, Department of Communications and Networking, Network Security and Trust

Hide my Gaze with EOG!

Publishing year: 2019 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)
Department of Computer Science, Department of Neuroscience and Biomedical Engineering, Ambient Intelligence, Department of Communications and Networking

Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses

Publishing year: 2019 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)
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