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Lecturer in Computer Science
Middlesex University

Honorary researcher in Computer Science
University College London

g.(last name) (at) mdx.ac.uk
g.(last name) (at) cs.ucl.ac.uk


Research Interests

My area of work is applied data science with specific expertise on social/urban computing and computer-supported cooperative work. I have published more than 60 peer-reviewed papers in the field.

Research Projects

  • 2016. MACACO (ESPRC) – Mobile context-Adaptive CAching for COntent-centric networking.
    Project partners: INRIA, University of College London, SUPSI, IRIT, National Research Council of Italy, UFmG.
  • 2015. LASAGNE (EC) – multi-LAyer SpAtiotemporal Generalized NEtworks.
    Project partners: Medical University of Vienna from Austria, Queen Mary University of London, University of Cambridge, University of Birmingham from UK, Universitat de Barcelona, IFISC (UIB-CSIC) from Spain, CNRS from France.
  • 2015. Intel Center on Sustainable Connected Cities.
    Project partners: Intel, Imperial, University College London.
  • 2014. 3cixty (EIT-ICT Labs) -- a Platform for Apps and Services Offering Comprehensive Views for City Visitors.
    Project partners: DFKI, Stichting Novay and Deutsches Forschungszentrum fur Kunstliche Intell from Germany, University College London from UK, Inria, Thales and Eurecom from France, Centro Ricerche Fiat, Politecnico di Milano, Telecom Italia from Italy.
  • 2013. Travel Dashboard (EIT-ICT Labs) -- a Framework for the Delivery of Personalised Mobility Services to Urban Travellers.
    Project partners: Alcatel/Lucent from Ireland and Belgium, Ambientic, Inria, Systematic and Thales from France, Transport for London (TfL) and University College London from the UK.
  • 2012. iTOUR (EC) -- intelligent Transport system for Optimized URban trips.
    Project partners: FIAT Group Automobiles S.p.A., MAGMA S.R.L., Graphitech Foundation, FORMIT Foundation, ULA Srl, PTV, Planung Transport Verkehr AG, TU/e, Technisch Universiteit Eindhoven, Cadzow Communications Consulting Ltd., University College London.
  • 2010. Community Folks (EC) -- identification and exploitation of user communities for efficiently handling large-scale folksonomies.
    Marie Curie Fellowship for Career Development (FP7-PEOPLE-2009-IEF).