Luca Pappalardo

Scientific Researcher at ISTI-CNR
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Pisa, Tuscany, Italy, IT
Languages
  • Italiano Native or bilingual proficiency
  • Inglese Full professional proficiency
  • Spagnolo Elementary proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Credentials

  • Introduction to MongoDB
    Coursera
    Feb, 2018
    - Oct, 2024

Experience

    • Italy
    • Research Services
    • 100 - 200 Employee
    • Scientific Researcher
      • Jul 2019 - Present

    • Research Fellow
      • Nov 2017 - Jun 2019

    • Italy
    • Research Services
    • 1 - 100 Employee
    • Scientific Researcher
      • Jan 2019 - Present

    • Austria
    • Higher Education
    • 700 & Above Employee
    • Network Scientist
      • Mar 2014 - Aug 2014

    • Hungary
    • Higher Education
    • 300 - 400 Employee
    • Network Scientist
      • Jan 2014 - Aug 2014

    • Italy
    • Research Services
    • 700 & Above Employee
    • Data Scientist
      • Jan 2011 - Aug 2014

      Starting from the current research on human activity patterns, I am investigating mobility related issues in two directions. Firstly, I want to improve the understanding of human mobility, investigating the interplay between human mobilty, social links, and the predictive power of data mining. Secondly, we aim to use such results to study diffusion in biological, mobile and information contexts, and to develop novel opportunistic routing protocols and adequate mobility models for opportunistic networks. Show less

    • Visiting Research Scientist
      • Sep 2013 - Sep 2013

      I studied the mobility evolution of social communities, through the analysis of a big GSM dataset. The aim of this research is to reach a deeper understanding of the relationship between social dynamics and mobility evolution: What are the features of stable communities? What about more dynamic ones? I studied the mobility evolution of social communities, through the analysis of a big GSM dataset. The aim of this research is to reach a deeper understanding of the relationship between social dynamics and mobility evolution: What are the features of stable communities? What about more dynamic ones?

    • Researcher
      • 2011 - 2013

    • United States
    • Higher Education
    • 700 & Above Employee
    • Visiting Research Scientist
      • Oct 2012 - Dec 2012

      Starting from the analysis of two large datasets storing GSM and GPS data, my goal was to extend known mobility measures in order to take into account the behavior of an individual when he is both in motion and stationary. Then I studied how the urban habitat shapes and influences people's movements by grouping individuals according to their most likely location and measuring to what extent they share similar mobility patterns. Finally, I investigated how the mobility of an individual correlates with some economic and social aspects such as his income, the underlying social network, and the population density in his home location. Show less

    • Italy
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Trainee
      • Jan 2007 - Jul 2007

Education

  • Università di Pisa
    Doctor of Philosophy (PhD), Computer Science
    2011 - 2014
  • Università degli Studi di Salerno / University of Salerno
    Master degree, Computer science
    2007 - 2010
  • Universidad Rey Juan Carlos
    Master degree, Computer Science
    2008 - 2009
  • Conservatorio di Salerno
    Diploma in piano, Music

Community

You need to have a working account to view this content. Click here to join now