Rosa-Maria Martin
Bilateral Meetings
- 02.03.2015 Monday (11.00h - 13.05h)
- 02.03.2015 Monday (13.05h - 15.10h)
- 02.03.2015 Monday (15.10h - 18.05h)
- 03.03.2015 Tuesday (9.00h - 11.05h)
- 03.03.2015 Tuesday (11.05h - 13.10h)
- 03.03.2015 Tuesday (13.10h - 15.15h)
- 03.03.2015 Tuesday (15.15h - 16.55h)
- 04.03.2015 Wednesday (9.00h - 11.05h)
- 04.03.2015 Wednesday (11.05h - 13.10h)
- 04.03.2015 Wednesday (13.10h - 15.15h)
- 04.03.2015 Wednesday (15.15h - 16.55h)
inLab FIB has over 30 years of experience collaborating in cutting edge projects and creating customized solutions for public and private institutions and organizations. Our research areas are: Simulation, optimization and modelling; Big Data, Data analysis and management; Smart cities; Mobile apps and GIS, Collaborative internet; ICT enhanced learning environments; Cybersecurity and ICT infrastructures.
SOFTWARE/INTERNET
- Application development
- Content management
- Data analysis
- Mobile security systems
- Mobile social networking
SERVICES/OTHERS
- Education and training
Smart Cities
Modelling and simulation of energy efficiency in buildings and transport, smart mobility (public transport systems, traffic management, dynamic guide applications and services, traffic and mobility data processing).
-New generation forecasting models for high-quality traffic and travel
information, short-term real-time predictions
-Traffic data analytics: data filtering, completion and fusion, big data,
interoperability
-Future travelling: Real-time multimodal journey planner, dynamic
ridesharing
-Macro, meso and micro traffic simulation
- Technical co-operation
Smart Learning technologies
ICT enhanced learning environments and technologies
- Technical co-operation
- Technical co-operation
H2020 Cooperation Research
Cooperation in our areas of expertise
- Technical co-operation
- Technical co-operation
Business Intelligence 2.0 - Big Data
In short, we master data management both from traditional setting such as data warehousing and new ones (Big Data-oriented) based on NoSQL.
Up to date, data warehousing has been the most popular architechtural setting for decisional systems and its nowadays a mature and reliable technology stack present in many big companies/organizations and already making its way on SMEs. However, we are currently witnessing a second paradigm shift due to the success if data warehousing: the need to incorporate external data to the data warehouse. In short, many works have discussed the relevance of the context in nowadays decision making that cannot be focused on stationary data and must deal with situational data as first-class citizen. The new paradigm shift has given raise to the so called Business Intelligence 2.0 and is inevitably coupled with the concept of Big Data.
Although Big Data has been around for a while and has modified the agenda of many research communities, its definition is still far from being agreed and it usually refers to decisional systems characterized by the 3V's: volume (large data sets), variety (heterogeneous sources) and velocity (referring to processing and response time). Relational databases have been shown not to be the best choice for tackling these challenges and a new wave of non-relational databases (NoSQL) have emerged. These new systems ara mainly built on the Cloud and the basically are distributed systems thought to explot parallelism and the force of the Cloud to achieve better performance. They also follow alternative data models (key-value, document-stores, graph-databases, etc.) to reduce the impedance mismatch.
- Technical co-operation
Cybersecurity-Services and Research opportunities
Mobile applications security
- Technical co-operation