Riccardo Pollo

Education

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  Istituto di Istruzione Superiore E.Bona

  2008 - 2013

  Ragioneria - Progetto "Mercurio" 100/100

  Qualifica di "Ragioniere Programmatore"

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  Università degli Studi di Torino

  2013 - 2016

  Bachelor's degree Computer Science 108/110

  During my three-years-degree in Computer Science I've learned the basics on programming, math, and computer architecture. I followed the course "Informazione e conoscenza", focused on data management, Web services (developing web sites for enterprise environments), and Human-Machine Interaction. I also studied IT security and artificial intelligence, subject of my thesis titled "Planning the use of interaction artifacts in Multi-Agent Systems".

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  Università degli Studi di Torino

  2016 - 2020

  Master's degree Computer Science 110 e Lode

  During my master degree in Computer Science, I settled my knowledge on Artificial Intelligence, Machine Learning and Neural Networks architectures. I realized lot of projects using lot of technologies, frameworks and tools (Spring, MongoDB, OracleDB, Wordnet, Babelnet etc.), developing offline, web, and mobile application. I also spent lot of time learning Database architecture management. In my thesis, titled "Neural network model for word learning: the case of simultaneous presentations of… Show more During my master degree in Computer Science, I settled my knowledge on Artificial Intelligence, Machine Learning and Neural Networks architectures. I realized lot of projects using lot of technologies, frameworks and tools (Spring, MongoDB, OracleDB, Wordnet, Babelnet etc.), developing offline, web, and mobile application. I also spent lot of time learning Database architecture management. In my thesis, titled "Neural network model for word learning: the case of simultaneous presentations of acoustic stimula", which fits into the context of Cognitive Science, I've contributed on the developing of a model based on a bunch of deep neural networks to solve the word learning task. My contribution regards the selection of the correct label (a single, correct, word in a phrase) to be associated to the visual object given as input. This also required the creation of a proper dataset of phrases directly from dialogues transcription, i.e. the application of NLP theories, techniques, and tools. Show less