CER has 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 combines 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. The group’s 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.