Federico Nesti

Federico Nesti is a Ph.D. researcher at the Retis Lab (Tecip Institute, Scuola Superiore Sant'Anna), funded by the Department of Excellence in Robotics & AI. He also works as a consultant for the same institution in railway navigation and localization systems.

• Education:
  • BSc in Electronics Engineering (University of Pisa, 2015)
  • MSc in Robotics and Automation Engineering (2018)

Research Interests focus on adversarial robustness of machine learning models, autonomous driving safety, railway system simulation, and adversarial attack defense mechanisms. His work bridges machine learning security and real-world applications in transportation and space systems.

Academic Trends show a trajectory from thermal engineering for space missions (U-PHOS project) to current work on AI robustness for autonomous vehicles and railway systems, with a strong emphasis on practical implementation and safety validation.

Scientific Recognition:

• Second prize at Huawei University Challenge 2020
• Selected for Deep Learning + Reinforcement Learning Summer School (2020)

Collaborative Work includes internships at Fermilab (2017), MSc thesis at TU Delft (2018), and a visiting research position at University of Alicante (2022–present). Industrial collaborations with Hitachi STS (2020–2022) and Fabrica Machinale srl (2018–2019) further enrich his applied research profile.