Centre d’innovació i Tecnologia BARCELONATECH


INLAB Laboratory of the Barcelona School of Informatics

InLab FIB UPC is a research and innovation laboratory that is specialized in applications and services based on the latest ICT technologies. InLAb has over 30 years of experience collaborating in various projects and creating customized solutions for public and private institutions and organizations.

Its work can be divided into seven main areas:

Analysis, data processing and Big Data

Smart Data. Methods and statistical techniques for analysing and processing data and their interoperability: data mining, advanced statistical analysis, measurement of intangibles, Open Data, integration, fusion and processing of large volumes of data, control panels, etc.

Modelling, simulation and optimization

Feasibility studies and/or improvements to systems and processes using modelling, simulation and optimization techniques applied to transport, manufacture, logistics, industrial processes or emergency systems. Simulation applied to the social sciences and environmental systems.

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).

Mobile applications and GIS

Mobile applications for geoservices in areas such as transport, sports and health. Systems based on OpenStreetMap for monitoring and guiding vehicles or people. Alarm service based on position. Applications with augmented reality and mobile multimedia. Security of mobile applications.

Collaborative internet

Website environments and architectures, applications distributed on the internet, collaborative and social intranet, multimedia information systems, integration with social networks and technologies to ensure security, accessibility, interoperability and integration of systems.

ICT security and infrastructure

Information security (audits, forensic analysis, monitoring of networks) , development of systems for detecting malware and electronic fraud, infrastructure management, high availability, resilience, server virtualization and other leading technologies in security, infrastructures and services.

ICT environments and services to support learning and university management

Learning Analytics, learning support environments based on ICT tools, information systems for university management, computer laboratories and the development of mobile applications. Systems for measuring and analysing learning results, monitoring mechanisms and improvements to training activities.

InLab FIB UPC accepts the Shared Innovation Centre CIC-TIC with the Barcelona City Council, to identify new opportunities for innovation in TIC technologies in public administrations and to boost the Talent inLab Program.

In its long experience of technology transfer, work in the areas that comprise inLab FIB UPC has led to the creation of two spin-offs and two registered trademarks.

Due to the cross-cutting nature of ICT technologies, they can be applied in sectors as diverse as:

TransportDistribution and logisticsPharmaceuticalsSmart CitiesHealthLeisure and sportSocial sciencesLocal governmentEducationICTConstruction and Energy

http://inlab.fib.upc.edu/es | info.cit@upc.edu | +34 93 405 46 90 | +34 93 405 44 19

  • enVIA information system

    An information system has been designed and developed for ALSTOM Spain to display real-time positions on a geographic map of the AVE and AVANT train fleets in operation. The system also provides remote, immediate information on technical incidents that affect the trains, which increases the efficiency of maintenance processes. The system can also send information about AVE and AVANT incidents to the ETRA Web Maintenance website (ALSTOM France’s information system).

    The tooPath service has been used to display the position of the train fleet. TooPath was developed by inLab FIB to track mobile devices (with GPS) anywhere in the world. More information

  • Modelling, simulation and analysis of a transport system that uses automated guided vehicles

    This simulation study assessed the capacity of Almirall’s internal transport network to meet new needs associated with changes in the company’s production processes.

    Simulation models can be used to evaluate proposed improvements when a transport network comprised mainly of automated guided vehicles (AGVs) does not have sufficient transport capacity to meet future demands. More information

  • Telefónica I + D’s uLab at the UPC

    Telefónica I+D’s uLab at the UPC is a university laboratory set up so that UPC students can get involved in the company’s projects. The laboratory is based on the concept of open innovation collaboration. Students collaborate with Telefónica I+D’s Software Engineering Development Unit in the following areas: technology research and evaluation, prototype development, cross-cutting software, analysis of good practices and dissemination of results in external forums. More information

  • In4Mo. Advanced information system for the mobility of people and vehicles

    The main aim of the In4Mo project was to develop applications that provide information for traffic control centres. In4Mo provides an overview and forecast of the state of the road network and its short-term development, which makes decision-making more effective. It combines traditional data capture technologies (inductive loops, image processing and radars, among others) with new ones (GPS, Bluetooth, and TAG), and uses different techniques such as data filtering, imputation when there is missing data, merging data from different information sources, and state forecasting to provide homogenous, consistent data. More information