Ambient intelligence and wireless communications

Supervisors: A/Prof. Stephan Sigg (Aalto) and Prof. Flora Salim (RMIT) and Dr Jose Costa Requena (Cumucore)

Option 1 AI in communications for remote healthcare 

Project: Mitochondrial recessive ataxia syndrome (MIRAS) is a common ataxia disease in Finland. Since little is known about MIRAS, testing new medications demands frequent hospital visits, which is burdening for patient and medical expert. Technical support that may relieve part of this burden by replacing hospital visits with remote monitored tests. Assisted by a medical expert, The student will develop a distributed communication, sensing and AI framework to support remote care and monitoring.

 

Option 2 Future Communication networks

Project: Time sensitive networking is a concept to enable networking hardware to adhere strict timing constraints which might be specified, for instance, by industrial processes. The student will implement deterministic communication for the developed framework, which is required in industrial 5G scenarios. 

 

Option 3: Ambient Intelligence for industry and commerce

Project: Device localization is possible in 5G Ultra Dense Networks with an angular error of 1-2° and a localization error of 10cm. For professional IMU measurement units, the state-of-the-art accuracy in tracking of the rotation axis may achieve 1° error, with an altitude error below 5cm. However, IMU measurements are relative and not synchronized with the coordinate system of the localization system. The student will develop a framework towards exact localization, tracking and orientation of XR devices.

Share on facebook
Share on twitter
Share on linkedin
Share on email

Reference

Aalto-DC1

Research Areas

Artificial Intelligence, Communication design, Computer and network engineering, Data Analytics, Data Science

Research Host

Aalto University

PhD awarding institution/s

Aalto University & RMIT University

RMIT University

Other Positions

Supervisors

Prof. Tor Helge Aas (UiA) and Prof. Anne-Laure Mention (RMIT)

PhD awarding institution/s

University of Agder (UiA) & RMIT University

Supervisors

Prof. Tor Helge Aas (UiA) and Prof. Anne-Laure Mention (RMIT)

PhD awarding institution/s

University of Agder (UiA) & RMIT University

Supervisors

Prof. Mikko Pynnönen (LUT) and Prof. Anne-Laure Mention (RMIT) Juha Kauppinen (Mikkeli Development, Miksei Ltd)

PhD awarding institution/s

Lappeenranta – Lahti University of Technology (LUT) & RMIT University

RMIT and many of the REDI partners are HSR4R certified
europe-1-1.svg

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034328.

Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains