Department of Information and Communications Engineering

Ambient Intelligence

The group studies efficient algorithms that enable intelligent spaces and interaction, including on-body and environmental sensing, usable security, optimization and machine learning methods.
Ambient Intelligence

The group develops algorithms for Pervasive and Mobile Systems, in particular with regard to Activity Recognition and Usable Security. The algorithms are analysed, and optimized with respect to constraints in mobile and pervasive environments and their performance is empirically verified in rigorous experimental studies. The results are regularly demonstrated through instrumentations ranging from mobile devices to prototype sensing hardware.

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Contact

The research group is led by Professor Stephan Sigg.

Sahar Golipoor

Visiting Doctoral Researcher

Latest publications

Radial pulse rate estimation from brightness-mode ultrasound imaging

Nima Bahmani, Titus Kärkkäinen, Janne Kantola, Oula Aarela, Otso Häkkänen, Venla Turakainen, Viktor Nässi, Tuukka Panula, Ivan Vujaklija, Stephan Sigg, Craig S. Carlson 2025 Current Directions in Biomedical Engineering

Tracking Radial Artery Dynamics Using Brightness-Mode Ultrasound and Video Analysis

Nima Bahmani, Titus Kärkkäinen, Janne Kantola, Oula Aarela, Otso Häkkänen, Venla Turakainen, Tuukka Panula, Ivan Vujaklija, Stephan Sigg, Viktor Nässi, Craig S. Carlson 2025 UbiComp Companion 2025 - Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Wearable Non-Invasive Arterial Pulse Detection with a Millimeter-wave Radar

Nima Bahmani, Dariush Salami, Hüseyin Yiğitler, Juhapekka Hietala, Tuukka Panula, Stephan Sigg 2025 ISWC 2025 - Proceedings of the 2025 ACM International Symposium on Wearable Computers

Dynamic UAV Deployment in Multi-UAV Wireless Networks: A Multi-Modal Feature-Based Deep Reinforcement Learning Approach

Yu Bai, Boxuan Xie, Ying Liu, Zheng Chang, Riku Jäntti 2025 IEEE Internet of Things Journal

On the Challenge of Generating Multivariate Time Series Data from Distributed Sensors in IoT-enabled Scenarios

Julián Jerónimo Bañuelos, Jose Costa-Requena, Jiayuan He, Flora D. Salim, Stephan Sigg 2025 IoT 2024 - Proceedings of the 14th International Conference on the Internet of Things

Introduction to the Special Issue on LLM Empowered Internet of Things Part 1

Wei Dong, Jiliang Wang, Stephan Sigg, Luca Mottola 2025 ACM Transactions on Internet of Things

UbiComp4VRU: Ubiquitous Computing for Vulnerable Road Users

Judith S. Heinisch, Klaus David, Si Zuo, Flora Salim, Hiruni Kegalle 2025

A Hybrid Generative Model based on Diffusion and Graphs for Cross-Correlated Synthetic Multivariate Time Series Data

Julián Jerónimo Bañuelos, Estrid He, Jose Costa-Requena, Flora Salim, Stephan Sigg 2025 UbiComp Companion 2025 - Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Tolerance for Errors in Authentication of Pervasive Services

Misamatti Koistinen, Si Zuo, Dann Mensah, Emmi Rhen, Joonas Taussi, Matias Tiainen, Niklas Nevalainen, Sara Tuominen, Stephan Sigg 2025 IEEE Pervasive Computing

Special Issue on LLM Empowered Internet of Things Part 1 (ACM Transactions on Internet of Things)

Mo Li, Wei Dong, Jiliang Wang, Stephan Sigg, Luca Mottola 2025 ACM Transactions on the Internet of Things
More information on our research in the Aalto research portal.
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