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Complex Event Recongition Group

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

About 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.

Maritime Monitoring
Analysis of maritime information for environmentally safe shipping. The goal is to identify problematic ship trajectories or bad sailing practices from sensors.
Fleet Management
Recognition of various types of vehicle activity, such as dangerous driving and refuel opportunities, with the aim of optimising fleet management.
Activity Recognition
Receive alerts on potentially dangerous events based on camera feeds, with minimal human intervention. Other applications involve detection of activities of daily living in smart homes and assisted living settings, towards monitoring the residents’ well-being over time.
Life Sciences
Detect/forecast important events during simulations of complex multi-cellular models/systems of tumor evolution. The goal is to predict the effects of drug synergies on cancer cells, and identify personalized combinations of drugs which can ultimately increase the patients’ life expectancy.