inLab FIB UPC

The technological capabilities of the FIB inLab are grouped into:

• Data science and big data: Data management and analysis, Dashboarding and data visualization, predictive and classification models and Advanced Artificial Intelligence.
• Smart mobility: Management of new mobility concepts, vehicle fleet management using real-time routing algorithms, micro, meso and macroscopic traffic simulation, air quality prediction, analysis and improvement of intermodal and transport processes, machine learning algorithms for traffic predictions.
• Knowledge and service engineering: Data representation, information modeling and processing, requirements engineering, information systems, web technologies, Software as a Service, Internet of Things, innovation and research projects in knowledge management.
• Cybersecurity: Computer security (audits, forensic analysis, network monitoring), development of malware and electronic fraud detection systems, application security, training and awareness of cybersecurity.
• Modeling, simulation and optimization: digital twin: Feasibility studies and/or improvements to systems and processes through the use of modeling, simulation and optimization techniques applied to logistics and processes in the agri-food industry.