Giacomo Ibba

Graduated in Computer Science at the University of Cagliari in September 2020, with final grade 108/110 and thesis entitled ‘Proof of Concept of Neural Networks Implementation on the Ethereum Blockchain’, whose purpose was to demonstrate that, even if with limitations it is possible run Machine Learning models on the blockchain.
From April to November 2019 I worked on a research granted at the Department of Mathematics and Computer Science of the University of Cagliari aimed at the implementation of an Electronic Document Management System (EDMS) that certifies documents with the help of blockchain technology.
Currently in the first year of his PhD at the Department of Mathematics and Computer Science of the University of Cagliari.
Research interests: Application of Machine Learning and Deep Learning algorithms for fraudulent contracts detection within the Ethereum blockchain. Application of Machine Learning and Deep Learning algorithms for vulnerabilities detection within the contracts of the Ethereum blockchain. Study of blockchain technology scalability, and study of the possibilities of implementing and running Machine Learning algorithms and models directly on the blockchain, optimizing scalability and Ether consumption.

Lodovica Marchesi

Lodovica Marchesi graduated in Computer Science at the University of Cagliari in February 2018, with a final grade of 110/110, defending a thesis on the “Initial Coin Offering” (ICO), a new type of crowdfunding for startups, based on cryptocurrencies.

She worked as a research grant on the “Study of Blockchain technology applied to systems for managing complex documents” at the Department of Electrical and Electronic Engineering of the University of Cagliari.

She is currently a third-year PhD student at the Department of Mathematics and Computer Science of the University of Cagliari. During her second year she also visited the Software Engineering Research Group at Brunel University in London.

Her research fields include the application of blockchain technology in different sectors, cybersecurity for blockchain applications, the study of software engineering practices for blockchain development and distributed applications, and the study of machine learning algorithms and economic models. and financials related to the cryptocurrency market.

e-mail: lodovica.marchesi@unica.it

Scholar – https://scholar.google.it/citations?user=cRpLgNgAAAAJ&hl=it

ResearchGatehttps://www.researchgate.net/profile/Lodovica_Marchesi