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Pedro J. ZufiriaFull ProfessorETSI TelecomunicacionUniversidad Politecnica de MadridAvda. Complutense 3028040 Madrid, Spain
e-mail: [email protected].: +34 626 926 576https://es.linkedin.com/pub/pedro-j-zufiria/74/887/314
https://scholar.google.es/citations?user=VBut2LgAAAAJ&hl=es&oi=ao
Pedro J. Zufiria received the Ingeniero de Telecomunicacion degree by the UniversidadPolitecnica de Madrid (UPM) in 1986, the M.Sc. in Mechanical Engineering, M.Sc. inElectrical Engineering, and Ph.D. degrees from the University of Southern California(USC) in 1989. He also received the Doctor Ingeniero de Telecomunicacion degree bythe Ministry of Education and Science (MEC) in 1991 and the Licenciado en CienciasMatematicas degree by the Universidad Complutense de Madrid (UCM) in 1997.
Since 1987 until 1990 he was Teaching and Research Assistant in USC, collaboratingin different projects of the National Science Foundation and TRW/NASA. Since 1991 heholds a teaching position (currently as a Full Professor) in the Telecommunications Engi-neering School (ETSIT) of the UPM where he was Chairman of the Applied Mathematicsfor Information and Communication Technologies Department from 1999 to 2004.
In the ETSIT, he was responsible, from 1993 to 1996, of the Office for InternationalRelations with other Academic Institutions, in 1999, he was Vice-Dean for Research andGraduate Studies, and since 2009 is Co-Director of the Orange Chair.
He has also been founder and the scientific responsible of the Neural Networks Groupand now of the Dynamical Systems, Learning and Control Research Group, where hasbeen involved in research projects for the European Union as well as several Spanishofficial and private institutions. His research interests focus on the analysis, control andfault diagnosis of dynamical systems, and the application of statistics, machine learningparadigms and complex network theory on system modelling and data processing, havingauthored over one hundred international publications in all these fields.
Title: Inferring human socio-geographic behavioral patterns from mobile phone records
AbstractThe analysis of mobile phone records has grown into a stand-alone area of research dueto the increasing availability of large-scale anonymized datasets. The first part of the talkanalyzes some social networks that can be constructed from such data in three europeancountries, focusing on the interactions between social and geographical aspects. The se-cond part of the talk addresses the study of human mobility and communication patternsrelated to livelihood means and social interactions in Senegal with the aim of supportinginnovative solutions to sustainable development and humanitarian action challenges.
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