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/...

Kontakuppgifter

Telefonnummer
+358504666941

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