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Complex Event Recognition Group

National Center for Scientific Research Demokritos
We are Hiring
BSc & MSc Topics

About the CER Group


We have been developing formal computational methods which take as input streams of low-level events, e.g. sensor-based events, such as a change in temperature, and combine them to infer complex high-level events of interest, such as the start of a fire incident or a fault in the cooling system of a vehicle. Our methods support real-time event recognition over high-velocity data streams, online structure learning for accurate event recognition over noisy relational streams, as well as complex event forecasting for proactive decision-making. Read more about our research activities here.

Transport
Mobility
Analyze vehicle position streams for real-time fleet management.
Cancer
Cells
Forecast the outcome of cancel cell simulations, in order to optimise the use of resources on which they run.