Gastone Papini
Associate Professor
Greater Trento Metropolitan Area Italy
Summary
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Senior🎓
Top SchoolGastone Papini is an Associate Professor in Applied Mechanics at the University of Trento with 11 years of experience developing advanced control systems and machine learning for autonomous driving and ADAS. He holds a Ph.D. in Emerging Digital Technologies from Scuola Superiore Sant'Anna and a Master’s in Automation Engineering from the University of Pisa, both with top honors. His research blends model-based control and neural networks to create adaptable, safety-aware controllers, recently supported by the national FIS2 grant to formalize model-structured neural nets for mechanical systems. He has a strong European project track record—including Dreams4Cars, PolyWec and Veritas—and practical experience in teleoperation, wave-energy electroactive polymers, and human-robot interaction. Colleagues value his ability to translate cross-domain theory into deployable control frameworks for real vehicles and robotic systems.
11 years of coding experience
3 years of employment as a software developer
Master of Automation Engineering, Process Control, Robotics and Automation, 110/110 cum laude, Master of Automation Engineering, Process Control, Robotics and Automation, 110/110 cum laude at Università di Pisa
Italian, English
Github Skills (25)
prezi9
css9
deep-q-learning7
webapp6
computation-graph6
computation6
graph5
matlab5
python5
machine-learning4
keras4
q-learning4
angular4
deep-learning3
dqn3
Programming languages (6)
Github contributions (5)
tonegas/nnodely
Nov 2024 - Apr 2025
Model-structured neural network framework for modeling and control of physical systems
Contributions:7 releases, 43 PRs, 273 pushes in 4 months
ebertolazzi/Corso-di-C
Mar 2020 - May 2021
Contributions:75 commits, 62 pushes in 1 year 2 months
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