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)
Study and optimization of Machine Learning and Deep Learning models for mobile devices.
Context-aware mobile Recommender Systems for data selection and dissemination at the Edge of the Internet.
Diagnosis and tracking of both physical and mental diseases based on sensors available on mobile devices.
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.
Presentation of the paper "L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphones Data." during the IEEE SMARTCOMP 2022 conference at the Aalto University, Espoo (Finland): on SlideShare.net
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 IEEE MASS 2017 conference in Orlando, Florida (USA): on SlideShare.net
My speech about the Internet of People (IoP) during the Internet Festival 2017 event in Pisa (Italy): on SlideShare.net
Journal: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Conference: IEEE ITSC 2019
Conference: IFIP Networking 2018
Journal: Elsevier Online Social Networks and Media (OSNEM)
Journal: Elsevier Pervasive and Mobile Computing (PMC)
Journal: Symmetry (MDPI)
Journal: Springer Journal of Ambient Intelligence and Humanized Computing (JAIHC)
Journal: Nature - Scientific data
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: