My name is Riccardo Preite and I have a master’s degree in computer science at University of Bologna with a double degree program in Artificial Intelligence at University of Bielfeld.
- Bachelor: Design and development of an architecture to publish èweb things+(https://www.w3.org/WoT/) from API and manipulate existing Things to create personal programs: Open-API-WoT-Architecture.
- Master: Design and development of a Deep Neural Network feeded with UNSDGs data to compute the SDI and make prediction of UNSDGs for a sustainable development: SRAE.
In the last period I have started to study many different fields: First I discovered the AI world, thanks also to the double degree program accomplished at University of Bielefeld, to learn new techniques to use for future project. During the first year of master program I started research about sustainable argument, like Agenda2030 and its applications, and now I moved my sight to learn some frontend framework, like Vue.js. I want to use these three main fields: AI, sustainable and Vue.js to create new mash-up programs that allow users to query AI model, mainly about sustainable projects, by a simple and clean web interface.
I would define myself as a person who love to get challenged, discover new things or techniques is something I'm passionated and not only about IT, my favorite hobbies are engine(mechanic) and sports and thanks to them I learned to study the environment around to me and find a way to solve the problem by my own.
LinkedIn- Email: riccardo.preite.10@gmail.com
Design and development of an autoencoder that recognise the two images in input, from MINST dataset, and gives as output two new images, again from MINST dataset, that represent the sum result of the input.
Collaborators:
University project about implementing a compiler and an interpreter for a simple toy language called SimpLanPlus.
Collaborators:
Design and development of a context-aware system composed of a mobile application and a server for allowing users to experience context-dependent services and receive recommendations.
Collaborators:
Design and development of a complex system able to learn a physics phenomenon, in this case the agent will learn how to use a swing.
Collaborators (computer science part):
Project developed for the course of Web Technologies of the University of Bologna. The project consists on the development of a Web Application, both Front- and Back-End, which enables users to follow and share guides for culture and leisure locations (‘Point-of-Interest’) in different cities.
Collaborators:
Embedding of a Knowledge graph inside an existing model, tested on VGCN-BERT and KEPLER. Unfortunately, I don't have anymore access to the second part of the project where I succesfully embedded the knowledge graph into a model.
Design and development of a model able to found similar group of business activities, from YELP dataset, based on Categories and attributes.
Enhancing of a telegram bot used to remote control a desktop computer.
Design and development of an android mobile app that can be used as personal agenda and also as a social network where users can share saved Point of Intereset. This app has been used as starting point for social-places.