Resume

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Education

• Ph.D. Computer Science, Polytechnic University of Marche, 2021
• International Cyber Security Summer School, The Hague, 2018
• Master degree Computer and Automation Engineering, Polytechnic University of Marche, 2018
• Bachelor degree Computer and Automation Engineering, Polytechnic University of Marche, 2016

Work experience

• Lecturer of Fundamentals of Data Science and Machine Learning course at DBFIX, 2022
• Lecturer of Business Intelligence course at Istituto di Formazione ISTAO, 2021
• Lecturer of Business Intelligence course at Xplace, 2021
• Lecturer of Social Network Analysis course at FairConnect, 2021
• Mentor for DBpedia Organization (Google Summer of Code), 2020, Github repository
• Lecturer of Advanced Python course at SELDA Informatica, 2020
• Lecturer of Business Intelligence course at Istituto di Formazione ISTAO, 2020
• Lecturer of Software and Big Data Management course at FairConnect, 2020
• Lecturer of Advanced Python course at SELDA Informatica, 2020
• Lecturer of Python environment course at SELDA Informatica, 2019
• Mentor for DBpedia Organization (Google Summer of Code), 2019, Github repository
• Lecturer of Business Intelligence course at Istituto di Formazione ISTAO, 2019
• Mentor for DBpedia Organization (Google Summer of Code), 2018, Github repository
• Student Developer for DBpedia Organization (Google Summer of Code), 2017, Github repository

Skills

• Python
• Machine Learning
• Deep Learning
• Social Network Analysis
• Data Visualization
• BI Tools: Qlik Sense, Tableau, Power BI

Publications

Representation and compression of Residual Neural Networks through a multilayer network based approach

A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks

A Space-Time Framework for Sentiment Scope Analysis in Social Media

Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach

Defining a deep neural network ensemble for identifying fabric colors

Investigating community evolutions in TikTok dangerous and non-dangerous challenges

An approach to detect backbones of information diffusers among different communities of a social platform

Extracting time patterns from the lifespans of TikTok challenges to characterize non-dangerous and dangerous ones

New Approaches to Extract Information from Posts on COVID-19 Published on Reddit

A machine learning based sentient multimedia framework to increase safety at work

Representation, detection and usage of the content semantics of comments in a social platform

Defining user spectra to classify Ethereum users based on their behavior

Fine-tuning SalGAN and PathGAN for extending saliency map and gaze path prediction from natural images to websites

Extraction and analysis of text patterns from NSFW adult content in Reddit

A two-tier Blockchain framework to increase protection and autonomy of smart objects in the IoT

Mapping and Compressing a Convolutional Neural Network through a Multilayer Network

A Network-based Model and a Related Approach to Represent and Handle the Semantics of Comments in a Social Network

A Social Network Analysis-based approach to investigate user behaviour during a cryptocurrency speculative bubble

Investigating negative reviews and detecting negative influencers in Yelp through a multi-dimensional social network based model

Investigating the phenomenon of NSFW posts in Reddit

OntoConnect: Unsupervised ontology alignment with recursive neural network

A framework for anomaly detection and classification in Multiple IoT scenarios

Increasing protection and autonomy in the IoT through a two-tier blockchain framework

Applying generative adversarial networks to perform gaze path prediction in websites

An investigation on not safe for work adult content in Reddit

A Lightweight Approach to Extract Interschema Properties from Structured, Semi-Structured and Unstructured Sources in a Big Data Scenario

Investigating Reddit to detect subreddit and author stereotypes and to evaluate author assortativity

Savemenow.ai: A machine learning based wearable device for fall detection in a workplace

An approach to compute the scope of a social object in a Multi-IoT scenario

Defining and detecting k-bridges in a social network: The Yelp case, and more

An approach to evaluate trust and reputation of things in a Multi-IoTs scenario

A privacy-preserving approach to prevent feature disclosure in an IoT scenario

OntoConnect: Results for OAEI 2020

Co-posting Author Assortativity in Reddit

Humanizing IoT: Defining the Profile and the Reliability of a Thing in a Multi-IoT Scenario

Leveraging network analysis to support experts in their analyses of subjects with MCI and AD

Building topic-driven virtual iots in a multiple iots scenario

A well-tailored centrality measure for evaluating patents and their citations

Redefining betweenness centrality in a multiple IoT scenario

Investigating the scope of a thing in a multiple internet of things scenario

A big data oriented and complex network based model supporting the uniform investigation of heterogeneous personalized medicine data

Talks

Increasing protection and autonomy in the IoT through a two-tier blockchain framework

June 24, 2021

Paper presentation at Italian Symposium on Advanced Database Systems, Pizzo Calabro, Italy

Graph Databases and Social Network Analysis in Python and NetworkX

December 01, 2020

Workshop at Data Science course at Treeschool, Online

Co-posting Author Assortativity in Reddit

June 24, 2020

Paper presentation at Italian Symposium on Advanced Database Systems, Cagliari, Italy

A big data oriented and complex network based model supporting the uniform investigation of heterogeneous personalized medicine data

December 03, 2018

Paper presentation at International Conference on Bioinformatics and Biomedicine, Madrid, Spain

Teaching

AI-Driven Cybersecurity

Python Lab for Applications

Big Data Analytics Lab

Data Science

Data Science

Big Data Analytics Laboratory

Mobile Programming