Get to Know IMP
About Us
The IMP research group is an officially recognized research group, funded by the Government of Catalonia since 2014 and renewed for the period from 2017 to 2019 (2017-SGR-1749). It is a multidisciplinary group, made up of researchers from the Polytechnic University of Catalonia (UPC), the Autonomous University of Barcelona (UAB) and the Open University of Catalonia (UOC), and the collaboration of members of the Innovation and Research Laboratory from the Faculty of Computing of Barcelona (inLab).
Regarding the UPC, the group includes researchers from four different departments: Engineering Services and Information Systems (ESSI), Statistics and Operations Research (EIO), Computer Architecture (AC) and Automation Systems Engineering and Industrial Computing (ESAII) ). Regarding the UAB, the group includes researchers from the Logistics and Aeronautics Unit of the Department of Telecommunications and Systems Engineering. The members of the group linked to the UOC are part of the IT, Multimedia and Telecommunications Studies. A large part of the group's activity is carried out in close collaboration with inLab, the Innovation and Research Laboratory of the Barcelona School of Informatics with more than three decades of experience in the development of applications and services based on computer technologies.
Our vision
Consolidate as a reference in the topics of modeling and information processing. Referent to the excellence linked to the academic field, with a wide international recognition; as the relevance of the work done, with the application to society and the industrial fabric of the results and knowledge obtained as a result of the research carried out.
Our mission
Work feeling the need to develop something useful and quality for society through theoretical and technological research of clear practical applicability.
Our goal
With this capacity for comprehensive information management, we intend to deal with diverse, but intimately related issues:
- Information modeling
- Data quality
- Multidimensional data warehouses
- Data mining
- Business Intelligence
- Massive data analysis
- Modeling using simulation and optimization tools
- Find effective solutions to the new challenges offered by the information society
- Learning analytics