COMPUTER SCIENTIST . RESEARCHER . DEVELOPER
I am Mattia Campana, a Research Scientist at the Institute for Informatics and Telematics of the National Research Council of Italy (IIT-CNR). I received my Ph.D. in Computer Engineering from the University of Pisa in collaboration with the IIT-CNR in 2019. My research activity is related to the study and application of Context-aware Recommender Systems to optimize the data dissemination and content discovery in Opportunistic Networks and to provide proactive services to mobile users.
My Curriculum Vitae (PDF version)
A special kind of self-forming and delay tolerant networks for mobile devices.
Model users' behaviors and preferences to create proactive services.
Study user social relationships to optimize data dissemination among mobile nodes.
I received my Ph.D. in Computer Engineering
from the University of Pisa (Italy) in collaboration with the Institute
for Informatics and Telematics of the National Research Council of Italy (IIT-CNR).
Thesis: Context-Aware Recommender Systems for Opportunistic Environments (English only)
I received my Master Degree in Computer Science from the University of Milan (Italy) with the thesis: "Study and development of context reasoning algorithms for mobile devices." (Italian only)
I received my Bachelor Degree in Computer Science from the University of Milan (Italy) with the thesis: "Security analysis of the Android operating system." (Italian only)
During the summer period of 2018 I was visiting the System and Media Laboratory(SyMLab) at the Hong Kong University of Science and Technology (HKUST) to work with Dr. Dimitris Chatzopoulos and Prof. Pan Hui.
I attended the ACM SIGCHI Summer School on Recommender Systems organized and hosted by the Faculty of Computer Science of the Free University of Bozen-Bolzano (Italy), in August 2017.
Defense of my Ph.D. thesis "Context-Aware Recommender Systems for Opportunistic Environments" at the University of Pisa (Italy): on SlideShare.net
Presentation of the paper "Context-Aware Configuration and Management of WiFi Direct Groups for Real Opportunistic Networks" during the IEE MASS 2017 conference in Orlando, Florida (USA): on SlideShare.net
Conference: IEEE ITSC 2019
Conference: IFIP Networking 2018
Journal: Symmetry (MDPI)
ContextKit: a sensing framework designed to perform large-scale sensing experiments with mobile devices. It simplify the data collection from several sensors (both physical and virtual) to characterize the user context.
Institutional and European projects in which I am involved: