Projects

The COPKIT project focuses on the problem of analysing, investigating, mitigating and preventing the use of new information and communication technologies by organised crime and terrorist groups. For this purpose, COPKIT proposes an intelligence-led Early Warning (EW) / Early Action (EA) system for both strategic and operational levels.

The aim of the project is to develop a Smart Energy Simulation Based Control method which will reduce the energy consumption in the operational stage of existing non-residential buildings, resulting in energy savings of up to 20%.

Data analysis in medicine: from medical records to Big Data.

Deep Learning for Energy-Efficient Building Control PROFICIENT developing novel deep reinforcement learning techniques capable of: (1) learning a more efficient predictive model of the building from sensor data; and (2) optimizing the computation of operational plans without using heuristic knowledge.

Application of data mining and artificial intelligence techniques to sensorised buildings to improve maintenance and energy efficiency.

AI technologies for enhancing capabilities, greater efficiency and effectiveness for customs.

Intelligent system for improved efficiency and effectiveness of the customs control of passenger baggage from international flight arrivals.

Federated transformers with multimodal sensitive data for secure learning and collaboration in distributed environments, with applications in health.

Big Data Stream Analysis Toolbox, applied to a real use case for cyberbullying detection.

Analysis of trends and misinformation from a temporal perspective in social networks.