Data Science
Description
We apply data science methods, algorithms and systems across different domains and data sources to extract knowledge that can be used to better understand or improve such domains. We are experienced across all the data science stages, including data collection, feature engineering, statistical analysis and knowledge inference as well as implementing technological data-driven products. We use data for good grounding our data science projects in clear research questions that can have a positive impact on society.
Research Lines:
- Education,
- e-Health
- Network Security
- Social Networks
- Online Advertising
Associated Projects
Recent Posts / View All Posts
Associated Products
Innovative Research Paper on 6G Trustworthy Assessment Accepted at EuCNC 2024
Más de 2 millones de euros para mejorar la ciberseguridad y la ciberdefensa por parte de la UMU y el INCIBE
DATRIS: Decentralized AI for Trustworthy and Resource-efficient Intelligent Systems
DEFENDER: DEtecting Feasible cybErattacks to iNcrease cybersecurity and cyberDEfence in experimental laboratoRies
Contact Us
If you are interested to collaborate or know more about our R&D experience in the cybersecurity and data science fields, please contact us.