Supervisors: A/Prof. Stephan Sigg (Aalto) and Prof. Flora Salim (RMIT) and industry mentor Dr Jose Costa Requena (Cumucore)
Project 1: AI in communications for remote healthcare
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.
Project 2: Future Communication networks
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.
Project: 3: Ambient Intelligence for industry and commerce
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.