Weekly Seminar: “Two ways you did not know mobile networks could be useful”

04/04/2018 - 04/04/2018

Ico_CTTC

ABSTRACT:

Mobile networks provide support to a variety of communication-based services that are steadily changing our lives. However, they are also pervasive infrastructures that can be used in unconventional ways unrelated to communication. Specifically, mobile networks can be seen as large-scale remote sensing platform capable of providing fine-grained information about a large (and increasing) fraction of the worldwide population. In this talk, I will discuss two case studies of remote sensing based on mobile networks: land use mapmaking, i.e., the detection of arrangements and activities in a target geographical region, and population density estimation, i.e., the monitoring of dwelling units and people presence. Solutions to both these problems have important applications in, e.g., urban planning and transportations, and can benefit from approaches that take advantage of the mobile network infrastructure.

SPEAKER:

Marco Fiore is a permanent researcher at CNR-IEIIT, Italy, EU Marie Curie fellow, and Royal Society visiting research fellow. Marco received MSc degrees from the University of Illinois at Chicago, IL, USA, and Politecnico of Torino, Italy, a PhD degree from Politecnico di Torino, Italy, and a Habilitation à Diriger des Recherches (HDR) from Université de Lyon, France. He was Maître de Conférences (Associate Professor) at Institut National des Sciences Appliquées (INSA) de Lyon, France, Associate Researcher at Inria, France, visiting research fellow at Rice University, TX, USA, Universitat Politècnica de Catalunya (UPC), Spain, and University College London (UCL), UK. Marco is a recipient of the French national Scientific Excellence Award (PES), EU Marie Curie Career Reintegration Grant, Royal Society International Exchange Fellowship, Data Transparency Lab grant, and a Finalist at the Telecom Italia Big Data Challenge. He is a senior member of IEEE, and a member of ACM.

CTTC Auditorium / 10:00h