The research activities of the CER group are summarised here.
Today's organisations collect data in various structured and unstructured digital formats. In particular, the abundance and continuous growth of networks of different types of sensor has led to corresponding data streams, which are hard to handle and utilize in the decision-making process of organizations. The analysis and interpretation of the collected data needs to be automated, in order for large data volumes to be transformed into operational knowledge. Events are particularly important pieces of knowledge, as they represent activities of special significance within an organisation. Therefore, the "recognition of events" is of utmost importance. [Read More]
Use seasonal and historic market patterns on real-time stock tick data to detect/forecast important events related to price fluctuations of stocks, currencies and commodities, systemic risk prediction and early warning issuing. The goal is risk minimization and decision support for investment opportunities.
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.
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.