Intelligent Data Science
Intelligent Data Science is a scientific discipline focused on analyzing large data sources to extract information, understand reality, and discover patterns with which to make decisions. It's about optimizing your decision making.
These are the services that our research groups can develop. For customized information on the services, please contact us.
| Areas of service | Applications of the service | Scientific infrastructure |
| Analysis of big data/data mining | Analysis of health data | |
| Data-driven modelling | Real-time dashboards | |
| Integrated websites with components of advanced data visualisation and integration of AI models | ||
| Data assimilation in models, inverse problems | ||
| Quantification of uncertainty: stochastic modelling | ||
| Numerical modelling of complex systems. Examples: applications to mechanics of solids, fluids, thermal problems, waves, etc. | ||
| Data-based models and systems: event prediction and classification | ||
| Planning of networks and opto-electronic devices | Development of machine learning tools for optical networks and optoelectronic devices | |
| Planning, dimensioning, operation, automation and optimisation of 5G networks | ||
| Optimisation of industrial equipment and systems based on dynamic models (MODELICA, SIMULINK, etc.) | Renewable energies: solar thermal, wind, photovoltaic. Efficient use of energy resources: energy pooling, residual energy, heat exchangers; smart and energy efficiency in industry, buildings, cities; aeronautics, space and health sciences. | Calculation cluster and simulation and design software - CTTC |
| Active smart control of temperature, humidity and pollutants in industrial processes | Smart and energy efficiency in industry, buildings, cities; aeronautics and space. | Calculation cluster and simulation and design software - CTTC |
| Calibration of models of industrial plants for optimisation of control and energy efficiency, minimising the number of experiments | Renewable energies: solar thermal, wind, photovoltaic. Efficient use of energy resources: energy pooling, residual energy, heat exchangers; smart and energy efficiency in industry, buildings, cities; aeronautics, space and health sciences. | Calculation cluster and simulation and design software - CTTC |
predictive health models, biomedical signals, bioinformatics, metabolomics, transcriptomics, healthtech, big data in health, advanced data visualisation, integration of AI models, AI, artificial intelligence optical networks, metro-core networks, 5G, 6G, optoelectronic devices, photonics 5G Planning, 5G Dimensioning, 5G Operation, 5G Automation, 5G Optimisation numerical modelling, data-driven modelling, data assimilation in models, inverse problems, stochastic modelling renewable energies; energy efficiency in industry, buildings and cities; heating, ventilation, air conditioning and cooling; thermal systems and equipment (energy storage, use of residual energy, heat exchangers, etc.); thermal management of equipment and current, hybrid and electric vehicles (urban and goods transport, rail, aeronautic and space sectors): health technologies
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