Giovanni Pellegrini
Giovanni Pellegrini is a 28-year-old PhD student at the Structured Machine Learning (SML) Group, University of Trento. He specializes in Graph Neural Networks and Statistical Relational Learning. With 13.4 years of work experience, Giovanni has developed skills in Java, C++, HTML5, JavaScript, and more. He has worked as a Machine Learning Engineer at GlassFORM.ai and as a Research Intern at TIM and Trento RISE. Giovanni's research interests lie in Graph Neural Networks and Statistical Relational Learning. He can be contacted at [email protected]. .Read More
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GlassFORM.ai
present
A plug-in, open-protocol digital platform… nothing less than fully functional A.I. That links the sensors of inspection systems with production machines and transfers information that is automatically acted upon, while enabling deep/machine learning.
Professional Background of Giovanni Pellegrini
- Delivered exceptional work experience on-time and within budget, contributing to overall results.
- Executing successful and memorable performances, captivating audiences with captivating performances.
- Conducted groundbreaking research projects, boosting knowledge and influencing the field.
- Developing data-driven algorithms to enhance performance and drive exponential user engagement.
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Education Experience of Giovanni Pellegrini
Aalborg University
Università di Trento
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