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Pedro J. Zufiria Full Professor ETSITelecomunicaci´on Universidad Polit´ ecnica de Madrid Avda. Complutense 30 28040 Madrid, Spain e-mail: pedro.zufi[email protected] tel.: +34 626 926 576 https://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 Telecomunicaci´ on degree by the Universidad Polit´ ecnica de Madrid (UPM) in 1986, the M.Sc. in Mechanical Engineering, M.Sc. in Electrical Engineering, and Ph.D. degrees from the University of Southern California (USC) in 1989. He also received the Doctor Ingeniero de Telecomunicaci´ on degree by the Ministry of Education and Science (MEC) in 1991 and the Licenciado en Ciencias Matem´ aticas degree by the Universidad Complutense de Madrid (UCM) in 1997. Since 1987 until 1990 he was Teaching and Research Assistant in USC, collaborating in different projects of the National Science Foundation and TRW/NASA. Since 1991 he holds 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 Mathematics for Information and Communication Technologies Department from 1999 to 2004. In the ETSIT, he was responsible, from 1993 to 1996, of the Office for International Relations with other Academic Institutions, in 1999, he was Vice-Dean for Research and Graduate Studies, and since 2009 is Co-Director of the Orange Chair. He has also been founder and the scientific responsible of the Neural Networks Group and now of the Dynamical Systems, Learning and Control Research Group, where has been involved in research projects for the European Union as well as several Spanish official and private institutions. His research interests focus on the analysis, control and fault diagnosis of dynamical systems, and the application of statistics, machine learning paradigms and complex network theory on system modelling and data processing, having authored over one hundred international publications in all these fields. Title: Inferring human socio-geographic behavioral patterns from mobile phone records Abstract The analysis of mobile phone records has grown into a stand-alone area of research due to the increasing availability of large-scale anonymized datasets. The first part of the talk analyzes some social networks that can be constructed from such data in three european countries, focusing on the interactions between social and geographical aspects. The se- cond part of the talk addresses the study of human mobility and communication patterns related to livelihood means and social interactions in Senegal with the aim of supporting innovative solutions to sustainable development and humanitarian action challenges.

Pedro J. Zu ria Full Professor e-mail: pedro.zu ria@upm › KS_02.pdf · Pedro J. Zu ria received the Ingeniero de Telecomunicaci on degree by the Universidad Polit ecnica de Madrid

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Page 1: Pedro J. Zu ria Full Professor e-mail: pedro.zu ria@upm › KS_02.pdf · Pedro J. Zu ria received the Ingeniero de Telecomunicaci on degree by the Universidad Polit ecnica de Madrid

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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