Professore associato presso l’Università di Trieste, con un dottorato e una laurea magistrale in Ingegneria meccanica. È stato research fellow presso il DLR – Institute for Robotics and Mechatronics nel 2016 e dal 2017 svolge ricerca principalmente in robotica spaziale, con focus sull’integrazione tra intelligenza artificiale e machine learning. Ha coordinato il progetto ESA OMG3D, dedicato a tecnologie per basi precursori spaziali, e guida REALISE2, sull’assemblaggio robotico di grandi strutture orbitali. Coordina AI4FOREST, progetto MUR che unisce robotica e machine learning per la conservazione forestale. Ha co-guidato il team di RISE, vincitore dello Space Exploration Masters 2018, che ha portato un esperimento di strutture modulari stampate in 3D sulla ISS. È attivo nei dottorati in Space Science and Technology e in Applied Data Science and Artificial Intelligence
Stefano Seriani
Stefano Seriani is an Associate Professor at the University of Trieste with a PhD and Master’s degree in Mechanical Engineering. He was a research fellow at DLR’s Institute for Robotics and Mechatronics in 2016 and, since 2017, has conducted research mainly in space robotics, focusing on its integration with Artificial Intelligence and Machine Learning. Stefano led the ESA-funded OMG3D project, developing precursor base-building technologies for space settlement, and currently leads REALISE2, focused on robotic assembly of large orbital structures. He also coordinates AI4FOREST, a MUR-funded project combining robotics and Machine Learning for forest conservation. He co-led the team behind RISE, winner of the 2018 Space Exploration Masters, which sent a 3D-printed modular structures experiment to the ISS. He is involved in the national PhD program in Space Science and Technology and UniTS’s PhD program in Applied Data Science and Artificial Intelligence.
Urban Center