Design of new strategies, based on machine learning algorithms and data analysis, to improve the efficiency and performance of electric vehicle motors and batteries.
Data Science and Big Data
Data Science and Big Data Description
In the Data Science and Big Data Area, we are experts in data-driven decision making, i.e. data management and analysis.
Data management: Collection, storage, integration and processing of data.
- From where? Own and third party data (Open Data, Internet of Things, etc.).
- System architectures based on Big Data (distributed systems), Data Warehousing.
- AdvancedTechniques : NOSQL Techniques, Data Vectorization, Big Data Integration, Big Data Quality, etc.
Data analysis: data preparation for analysis, feature generation, model learning/creation, model validation, interpretation and visualization.
- Type of analysis: descriptive (query & reporting, OLAP, descriptive statistics, graph analytics), predictive (data mining, machine learning, process-oriented data science, streaming, etc.).
- Advanced techniques: explanation of outcome, causality, ethics and equity.
- Visualization: dashboards, what-if analysis, geospatial, temporal, networks, advanced visual analytics, etc.
Data Science and Big Data Success Stories
Support European CERT and CSIRT networks by detecting, sharing, responding and recovering from cyber security threats and vulnerabilities.
The aim of this project is to deepen the exploitation of new passive sources of ICT data to obtain mobility patterns.
Development of a proprietary drug discovery platform to identify new antibiotics aimed at combating multi-resistant bacteria.
Statistical study on patients operated on for tuberculosis to determine which immunological markers in blood and urine can be related.
Collaboration with Intelibus in the project for the characterisation and modelling of passenger demand in buses.