Funded research projects at FILA
A fast data path, an energy-efficient sensor or a useful prediction depends on several decisions: what is measured, how information travels and how it is interpreted. FILA's funded projects connect these questions with specific applications and experimental setups.
AI-RMDT investigates AI methods for transport control and data distribution. INPAKT examines the energy cost of wireless IoT communication. ReSeDiUm combines satellite imagery with spoken observations; AURORA studies movement histories and speech context for route prediction. Each project page explains the approach, identifies contacts and connects the work to its research area.
