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The inLab FIB participate in the Brokerage Event MWC2014 explaining and showing technological capabilities and research companies and participating institutions. This is our presentation.

The inLab FIB participate in the Brokerage Event MWC2014 explaining and showing technological capabilities and research companies and participating institutions. This is our presentation.

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  • 1. inLab FIB presentation MWC2014 http://inlab.fib.upc.edu @inLabFIB Director Professor Josep Casanovas josepk@fib.upc.edu Technical Director Rosa Ma Martín rosam@fib.upc.edu www.cit.upc.edu
  • 2. The Universitat Politècnica de Catalunya –UPC– is a public institution of Higher Education and Research, specialised in the areas of Architecture, Science and Engineering.
  • 3. The UPC leadership The UPC is the top Spanish university in engineering and technology in the latest QS World University Ranking, and the top technical University in Southern Europe, according to the SCIMAGO Ranking 2013. Regarding international research collaborative projects, the UPC is a major player in the FP7 –the major research program of the EC‐, being involved in 151 projects ( of which 35 are coordinated)
  • 4. The UPC leadership Strongly committed with research and innovation with an active international presence in networks and initiatives of innovation. UPC is member of CLUSTER a network of leading European Universities of Technology Research, acts as co-location center for KIC InnoEnergy (EIT) and was awarded by the Spanish Ministry as International Campus of Excellence.
  • 5. R+D and Technology Transfer indicators 2.915 2.378 Corporations and organisations have executed collaboration agreements with UPC 110 Technical Scientific Awards Received Articles published in scientific journals 2.867 Researchers and Teachers 247 Spin off companies created 1.183 Current research Contracts and Projects 242 departments, institutes 86 Patents applications ‘11 479 Total Patents applications and research groups 78,2 M€ of Revenue from R+D Projects ‘11
  • 6. inLab FIB is an innovation and research lab of the Barcelona School of Informatics, Universitat Politècnica de Catalunya - Barcelona Tech (UPC). Members of UPC Technology Center CIT UPC. Missions: • R+D multidisciplinary project development and transfer of knowledge to the society • A professional environment focused on training and developing the talent of our students: Talent training program • A learning lab specialized in informatics engineering inLab FIB integrates academic staff from different UPC departments and its own technical staff. Graduate and under-graduate students collaborate in R+D projects through our Talent Program. 6
  • 7. R + D Areas of expertise inLab FIB is an innovation and research lab of the Barcelona School of Informatics of UPC specialized in applications and services based on the latest information technologies. Areas of expertise:
  • 8. Modeling, simulation & optimization • Event simulation applied to transport, manufacturing, logisti cs and other services • Industrial & logistics processes optimization • Social simulation applied to demography • Emergency simulation More information: http://inlab.fib.upc.edu/en/experteses/mod elitzacio-simulacio-i-optimitzacio Microscopic simulation of passengers movements in the new terminal of the airport of Barcelona. AENA-INDRA 8
  • 9. Smart Cities • Smart mobility: traffic forecasting, dynamic ridesharing, public transport routing, transport data analytics, urban logistics, mobility services, etc. • Energy efficient transport simulation and optimization • Energy efficient building (EeB) simulation More information: http://inlab.fib.upc.edu/en/experteses/smar t-cities 9
  • 10. Mobile Apps and GIS • Leading OpenStreetMap in Catalonia. • Geoservices provider: Tracking, Monitoring, Mapping, Specific Routing, App development • Own Tracking core (tooPath) used in eHealth, Sports, Transport and industrial applications • Contextual mobile applications • Mobile multimedia & Augmented Reality • Mobile Apps Lab More information: https://inlab.fib.upc.edu/en/experteses/aplicacions-mobils-igis 10
  • 11. Data analysis and management • Data analytics and information analysis • Data fusion • Data mining • Big data • Dashboards , Business Intelligence • Open data • Statistical methods for the measurement of intangibles (satisfaction, quality, etc.) Queries and large data matrix analysis for the Centre for Opinion Studies (CEO) of the Government of Catalonia More information: http://inlab.fib.upc.edu/en/experteses/ analisis-i-tractament-de-dades 11
  • 12. Security & ICT infrastructures • • • • • • First Spanish Response Team Forensics Penetration testing Network monitoring Application security Malware detection Security infrastructure management • Management of high availability environments • Virtualization technologies More information: http://inlab.fib.upc.edu/en/experteses/segu retat-i-infraestructures-tic 12
  • 13. Collaborative Internet e-Catalunya (ecatalunya.gencat.net): Social networks & web 2.0 collaborative tools Catalonia Government • Distributed web services and technology • Software as a Service and interoperability technologies • Social and collaborative intranets • Multimedia information systems • Security, authentication, single sign on and identity management • Federated Social Networks • Accessibility • Social networks usage and integration into collaboration environments • SEO, SEM, SMO More information: http://inlab.fib.upc.edu/en/experteses/inter net-collaborativa 13
  • 14. IT learning environment & services • Learning Analytics • IT enabled learning spaces • e-learning & virtual campus environments • Mobileapps learning lab • Active learning technologies • Information systems for the management of studies and other university processes • Quality assurance systems and analytics More information: http://inlab.fib.upc.edu/en/experteses/entorns-i-serveis-tic-de-suportlaprenentatge-i-la-gestio-universitaria 14
  • 15. H2020 interests Currently collaborating in proposals for the first 2014 calls of Smart, Green and Intregrated Transport: • • • • MG.3.5-2014. Cooperative ITS for safe, congestion-free and sustainable MG.5.2-2014. Reducing impacts and costs of freight and service trips in urban MG.7.1-2014. Connectivity and information sharing for intelligent mobility MG.7.2-2014. Towards seamless mobility addressing fragmentation in ITS deployment in Europe Potential interest in other topics Leadership in Enabling & Industrial Technologies • ICT-32-2014. Cybersecurity, Trustworthy ICT • ICT-35b -2014. ICT Entrepreneurship Summer Academy • ICT-20-2015. Technologies for better human learning and teaching Potential interest in other topics Secure societies - Protecting freedom and security of Europe and its citizens – disaster/emergency management topics Secure, clean and efficient energy • EE-11-2015. New ICT-based solutions for energy efficiency
  • 17. uTalk • Mobile app for social interaction (“Enterprise or Campus whatsapp”) • Integrated into UPCnet product catalog • Federated social network technology: Activity Stream http://inlab.fib.upc.edu/en/upcnet-utalk-eina-de-missatgeria-corporativa-ambfil-social http://inlab.fib.upc.edu/en/blog/utalk-corporate-social-networking 17
  • 18. tooPath: Tracking Core • Industrial tracking core for embedded devices • Also Available as a mobile app • Reporting and analysis tool More information: http://inlab.fib.upc.edu/en/toopath-free-mobile-device-tracking-system Youtube: http://www.youtube.com/watch?v=HK-QGRv7kME
  • 19. TrackingALERT & sportALERT • TrackingALERT library is ready to be integrated into contextual applications for the sport . – monitors the movement of athletes through their mobile geolocation – detects unplanned stoppages, activating an alarm that, if it's not canceled, it will send a message with the location to a series of previously specified recipients. • sportALERT is an example of using the library 19
  • 20. SkiTraces: Ski + GIS • • • • Real-time Skier tracking Real-time Friend information with Geocoding OpenStreetMap Mapping Technologies SMS Alarms to friends More information: http://inlab.fib.upc.edu/en/skitraces http://www.skitraces.com Youtube: http://www.youtube.com/watch?v=pNj6gGpm8rQ
  • 21. City Walking: eHealth • • • • • People with heart diseases risk Exercise supervised by medical professionals Explore a city, events & local commerce Share walked routes with family or friends OpenStreetMap technologies Winner over 80 proposals Partners: City of Terrassa, Mutua de Terrassa and Terrassa’s Health Consortium More information: http://inlab.fib.upc.edu/en/citywalking
  • 22. SportTraces: Running + GIS • Realtime Runners & Race staff tracking • Alarm system & call to Race staff • Battery level control for long races More information: http://inlab.fib.upc.edu/en/sporttraces
  • 23. Probe Person Survey UPCnet • Turning citizens into an active agent in the generation of mobility data using mobile devices • Probe Person Survey methodology • Analysis of mobility and urban behaviour http://inlab.fib.upc.edu/en/probe-person-survey-upcnet 23
  • 24. Racó Mobile • iOS and Android apps allowing students to access information on the FIB intranet (the Racó) and on the web: news, location of buildings, occupation of classrooms, courses information, courses notices, mail and personal timetable and calendar • Web services layer using OAuth, allowing our students to develop new services accessing FIB data • Web Services, Java Objective-C, OAuth 24
  • 25. Dynamic ridesharing • Point to point instant dynamic ridesharing • A pilot test is going on in a city in the Barcelona metropolitan area to share private vehicles to go to the train station located in the closest city. Users can demand the transport just a few minutes in advance. • It uses mobile technology and a tracking server. The main challenges of this project are not technological but related to social and security issues. More information: http://inlab.fib.upc.edu/en/dynamic-ridesharing
  • 26. MobileApps Learning Lab • Suite of services designed to facilitate and enhance learning of technologies associated with mobile applications. • Oriented to a community of students highly motivated towards mobile technologies and with excellent development skills • Public repository of mobile applications developed by FIB students as either course work or final projects. • Loan of mobile phones, access to developer programs • Access to public open data and platforms 26
  • 28. Experience in applying optimization and simulation models to transportation problems • Public Transportation Planning • Development of Real-Time Adaptive traffic Control Systems • Development and testing of Mathematical Models and Optimisation Algorithms for Transportation Planning • Development, implementation and testing of Microscopic and Mesoscopic traffic simulators. • Urban logistics • Real-time fleet management
  • 29. ICT & Transports Research interests Agent based simulation, new generation traffic and travel forecasting models, electronic data collection & activity based demand modelling, real-time multimodal personal journey planners, urban logistics, emergency and disasters management. Current working projects in the area of transport and smart mobility are related with • Traffic Data Fusion • Dynamic Traffic Assignment • Real-Time OD Estimation • Advanced Traffic Information Systems • Active Traffic Management • Micro and Meso Traffic Simulation • Dynamic Ridesharing
  • 30. Smart mobility – Traffic forecasting It is not possible to install sensors in ALL streets. It is necessary to look for different ways. Example: Weather forecast The model makes use of a small set of data and provides us with detailed information Meteorological model Even more: the model can predict the future evolution of weather conditions In the same way as weather, Traffic may be calculated and predicted from a limited number of sensors through the use of models
  • 31. Smart mobility: Traffic and travel forecasting New generation forecasting models for high-quality traffic and travel information, short-time real-time predictions • Current available models and services are useful to provide information for long-term traffic planning or they provide information only based on past information. • New generation forecasting models are required to provide highquality traffic and travel information, specially for short term predictions used to plan a trip. Example of applications/projects: • Electric vehicle trip planning • Real-time multimodal trip planning, combining different transport modes
  • 32. Electronic Data Collection for Activity Based Demand Modeling BCALs Micro Sensor data No operation needed Long-term monitoring In-store data Detailed actions observed GPS mobile phones Probe person survey Meso Dot data Creation of path data Practicable for a long term Operation of instrument needed Only GPS data Indoor data not observable Paper questionnaire Person trip survey Inter-zone travel Dependent on memory Decrease in accuracy Omission of recording of short trips Large burden Not practicable Zone for a long-term Macro Zone Source: Electronic Instrument Design and User Interfaces for Activity Based Modeling (Hato & Timmermann - 2008)
  • 33. Real-Time Advanced Journey Planner Interactive, integrated, multimodal, real-time decision support system (pre-trip, in-trip) Data interoperability P&R P&R
  • 34. Traffic Data Analytics We are working on most of the services required for Smart Mobility or for dealing with traffic from the perspective of analytics, including data filtering, completion and fusion, the interoperability of data and the processing of huge amounts of data, or Big Data. Statistical & traffic flow based models to identify and eliminate the outlier observations Missing data supply Procedures of spacetime traffic state reconstruction from heterogeneous data sources
  • 35. Dynamic traffic flow models The result of data fusion composed by flows, speeds and travel times, with a traffic model, is a complete picture of all the network: info for all streets, not just main avenues or streets with sensors. This complete picture is obtained using dynamic traffic flow models
  • 36. Rapid Prototyping for urban design Rapid Prototyping: Tool/Method to support agile low cost urban design decisions. Used to optimize the location of elements such as traffic sensors, eVehicle charging points, accessibility analysis or location of emergency services, etc. It answers the questions: • How many? • Where to locate them? Based on research on Location Problems.
  • 37. Decision support systems: Traffic Management Decision Support System based on the Macro Fundamental Diagram and, through the proper processing of the data from all detectors, allows to identify on real time the present traffic state of a urban area and its evolution. This information is the used, in combination with traffic models, for the implementation of proactive traffic control strategies.
  • 39. In4Mo. Advance Information System for the Mobility of People and Vehicles • Combine traditional traffic supervision technologies with the latest available or soon to be available ICT. • Data Filtering, Merging and Completion Module. – Filtering of data, integration of new types of data that had not traditionally been used in traffic information systems, especially those that allow real-time treatment of information. – Development of completion models for missing data coming from the ICTs. – Development of data merging models that combine large amounts of data sources unprecedented in the field of traffic. Avanza Competitividad R&D (2010-2012) Program http://inlab.fib.upc.edu/en/in4mo-advance-information-system-mobility-peopleand-vehicles
  • 40. L9 Energy consumption optimization • Improve energy efficiency in underground Manless Train Operation. • Reduce energy costs by improving the energy efficiency obtained by regenerative brakes increasing the synchronization between braking and starting acceleration at the stations. • A complex non linear optimization model was built to optimize scheduling and circulation plans. Aprox. 5% energy saving • L9 is the first metro line without driver in Spain, and one of the largest and modern automatic line without driver of the World http://inlab.fib.upc.edu/en/energy-consumption-optimization 40
  • 41. Analysis of the energy consumption of the TRAM • Analysis of energy consumption of a tram in Barcelona and of the factors that increase energy consumption. • Data collection and analytics. • The study has measured the total rate savings that would result the absence of traffic light stops 35 30 18/11/2008 6:54:00 18/11/2008 8:12:58 18/11/2008 9:22:56 25 18/11/2008 10:39:00 18/11/2008 11:51:38 20 18/11/2008 13:08:54 18/11/2008 14:21:42 15 18/11/2008 15:40:54 18/11/2008 16:52:08 10 18/11/2008 18:12:06 18/11/2008 19:21:58 5 18/11/2008 20:37:56 0 1 http://inlab.fib.upc.edu/en/analysis-energy-consumption-tram 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 41
  • 42. ALSTOM Project • Web based information system that allows the user to locate the position of all trains that are operating at a given moment and their potential incidences. It’s been used for early detection of incidences in AVE and AVANT trains and maintenance planning improvement. • Remote collection of train incidences, that are displayed in real time using a geographical map (OpenStreetMap) and a web browser. Data collected is also prepared for its integration into the ALSTOM global train maintenance system. http://inlab.fib.upc.edu/en/alstom-project
  • 43. FireFIGHT: Fire Fighting by Optimization of Ground Logistics • Development of a decision support tool for fire management decision makers, focusing mainly on the efficient management of ground resources involved in extinguishing wildfire. • GIS platform will provide real time information about the location of fire fighters, ground resources and air resources. • Multicriteria optimization algorithm to minimize the nonefficient movements of material, and people and to optimize resources. • Visualization of the front fire line evolution • National Research project funded by More information: https://inlab.fib.upc.edu/en/fire-fightingoptimization-ground-logistics-firefight
  • 44. THIS: Transport Hub Intelligent Video System • Automatic behavioral analysis through video processing, focused on crowded scenarios, for transportation hubs, such as harbors, airports or train stations. • Prevention, Preparedness and Consequence Management of Terrorism and other Security-related Risks (CIPS) programms http://inlab.fib.upc.edu/en/transport-hub-intelligent-video-system 44
  • 45. RAFFI: Online Banking AntiFraud Detection System • Pioneering research that seeks to optimize the prevention and real-time detection of financial fraud attempts against different channels of electronic banking (web, mobile phones and digital television). • Modelling based on users’ behaviour • Detection of mules and man in the browser attacks http://inlab.fib.upc.edu/en/raffi-investigacion-de-herramientas-antifraudefinanciero-por-internet 45
  • 46. BONE Network of Excellence • Collaborative environment for the network of excellence and integration of other collaboration and dissemination tools. Coleading WP3 - Electronic Communication Tools • BONE aims to integrate and disseminate the research on optical networks and communications that is being performed in BONE is a Network of funded by Europe, as well as to demonstrate the advantages in the use of ExcellenceCommissionthe European optical technologies over electronic ones in communications through the 7th ICTFramework Program networks. http://inlab.fib.upc.edu/en/bone-network-excellence
  • 47. Learning analytics • A research and open innovation project to exploit educational data mining and other techniques • Using moodle digital traces 47
  • 48. uTalent • uTalent is a joint project of UPCnet and inLab FIB is to develop a prototype portal to manage Talent, skills and competencies in enterprises. • It will also be able to show the correlation of Talent values, the company values, and its employees 48
  • 49. SomUPC • Social intranet • Interconnection with the information systems of the UPC via SOA 49 21/02/2014
  • 50. Recent partners • Strong partnership with cities (setting up a shared innovation center with the city of Barcelona) 50 Members of: • See full list at http://inlab.fib.upc.edu/en/col-laboradors
  • 51. Talent Program A professional environment focused on training and developing the talent of our students 51
  • 52. inLab Talent Program Granting and Training system: inLab TALENT Program Direct access to students: the future mobile developers, IT professionals and entrepreneurs Currently sponsored by:
  • 53. inLab Talent mission The main objective of the program is that students taking part assimilate values​​, skills and abilities additional and complementary to those obtained in their studies, boosting their employability as future professionals, encouraging their entrepreneurial, creativity and innovation abilities, and responding to the commitment of the economic transformation based on the knowledge society. The project especially emphasizes the following values​​, skills and abilities: And other skills depending on the specific training program. 53
  • 54. inLab Talent Programme • 6 specific Talent Training programs using learning-by-doing and skillsoriented methodology. • Mobile applications and Mobile Business • Data analysis and processing & business intelligence • Collaborative web based environments • Geo-services and smart cities • Simulation and optimization • ICT infrastructure management • Last semester: in-company & international activities http://inlab.fib.upc.edu/en/talent-training-program
  • 55. inLab Talent students • We incorporate UPC graduate and under-graduate students offering them the opportunity to collaborate in real R+D projects. • This practical experience may lead to a student completing their Final Project, Masters Thesis or PhD. • Local or International students from the currently degrees offered by the Barcelona School of Informatics are welcomed: – Erasmus Mundus Masters: DMKM, Data Mining and Knowledge Management; IT4BI, Information Technologies for Business Intelligence; EMDC, Distributed Computing. – International Master in Innovation and Research in Informatics – Master of Informatics Engineering – Master in Artificial Intelligence – Bachelor in Informatics Engineering 55
  • 56. Contact us http://inlab.fib.upc.edu inlab@fib.upc.edu +34 93 401 69 41 c/ Jordi Girona 1-3 Campus Nord. Edifici B6 08034 Barcelona Spain Twitter: @inLabFIB