Gastone Pietro Rosati Papini

Research Activity

I am currently an Associate Professor in the Department of Industrial Engineering at the University of Trento, where I bring over a decade of experience in advanced control systems and machine learning techniques for autonomous system. My research bridges the fields of applied mechanics, control theory, and machine learning, with a focus on developing intelligent and adaptive models and controllers (see the Presentation of the research). Specifically, I aim to integrate classical model-based principles with data-driven techniques to create innovative solutions for model and control physical systems.

A major milestone in my career came in December 2024 when I was awarded the prestigious Italian FIS2 grant for the project Neu4mes: "Structured neural network framework for modeling and control of autonomous systems."

work with me →

This grant supports the development of nnodely, a groundbreaking open-source Python framework that combines the flexibility of neural networks with the rigor of traditional model-based design. nnodely facilitates the creation of model-structured neural networks, a novel approach that integrates physical principles and control theory into neural network architectures. These neural network are designed to require fewer parameters and less training data while maintaining the flexibility and power of machine learning. This makes them particularly well-suited for real-time application and autonomous systems where the energy consumption is the key issue.

At the core of my research is the ambition to merge the strengths of machine learning and model-based control, crafting self-learning strategies that draw on the best aspects of both. This interdisciplinary approach continues to drive my work, pushing the boundaries of what is possible.

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Cheros s.r.l.

Co-founder of Cheros s.r.l. spinoff of Scuola Superiore Sant'Anna:

  • Manager and backend developer for QatHome, a queue manager system for small and huge business enterprises;

  • Researcher for Inflatable Dielectric Elastomer Generator - PTO Project, an Wave Energy Scotland project that has the aims to further develop a breakthrough technology for the conversion of ocean wave energy into electricity through the use of electrostatic or dielectric elastomer generators.

Lifetime

During my personal life, I have developed several projects:

  • antruling.com: a web application with Django and jQuery.

  • wall2me.com: a web application in nodejs

  • PyNet: a didactic framework for deep learning in Python and numpy.

Curriculum Vitae