Empowering Future Particle Physics Experiments and Far Beyond with Advanced 3D Silicon Sensors
The research group led by Ye Jixing, Gian-Franco Dalla Betta, and Lucio Pancheri develops advanced 3D silicon sensors with exceptional radiation hardness for particle physics experiments. From the LHC to the future FCC, these technologies aim to enhance detector precision, timing performance, and reliability under extreme radiation conditions.
Controlling autonomy: the mathematics behind the robots of the future
The project develops control algorithms for autonomous robots capable of navigating without GPS, avoiding obstacles, and preventing dangerous operating configurations. Using hybrid dynamical systems and relative measurements, the research provides mathematically rigorous, computationally efficient solutions applicable to ground, marine, and aerial autonomous robots.
Optimal Control and Numerical Analysis: How Mathematics Guides Engineering Decisions
Optimal control defines time-dependent decision strategies for dynamic systems subject to objectives and physical constraints. Since analytical solutions are rarely available, numerical analysis provides reliable computational solutions through simulations and algorithms, supporting applications ranging from vehicles and chemical processes to robotics and energy systems.
From the University of Trento to CERN: Robotics Serving the Accelerators of the Future
Francesco Baroni, a student at the University of Trento, turned his thesis experience at CERN into a career in robotics for particle accelerators. After contributing to several innovative projects, he is now pursuing a PhD focused on the Future Circular Collider, helping develop the largest robotic system ever built at CERN.
Industrial Research: Value, Ethics, Society. DII Reflects on the Future
During the 2026 Research Day, the University of Trento’s Department of Industrial Engineering presented its achievements, funding results, and future perspectives, reflecting on the value of research, collaboration with industry, and the ethical and social responsibilities of innovation. A multidisciplinary community committed to combining excellence with impact.
Bio-composite Materials for Sustainable Agriculture and Reforestation
Research within the European H2020 ONEforest project developed xanthan gum and wood fiber bio-composites for biodegradable mulching films and soil amendments. These materials enhance water retention, reduce irrigation needs, and support plant growth, providing a sustainable alternative to conventional plastics for agriculture and reforestation.
Ozone: an ally for fruit preservation
Ozone is a promising postharvest technology for fruit preservation. Through its oxidative properties, it can delay ripening, maintain quality, and enhance antioxidant compounds. This research aims to clarify the mechanisms underlying ozone action and support the technology’s implementation on an industrial scale.
Decision Analysis and Additive Manufacturing
Additive manufacturing is not only a technological challenge but also a decision-making one. The article explores how multi-criteria and multi-objective decision analysis tools help companies manage complexity, uncertainty, and trade-offs in selecting and using 3D printing technologies.
From curiosity about mechatronics to semiconductors: Federico Fortunati’s journey
Federico Fortunati shares his journey from studying Industrial Engineering in Trento to leading multidisciplinary projects in the semiconductor industry in the Netherlands. Through start-up experiences, passion for mechatronics, and continuous learning, he now works on highly complex systems combining mechanics, electronics, and software with nanometer-level precision.
Quadruped robots for forest conservation and animal behavior research
The Department in collaboration with the Free University of Bozen-Bolzano is developing quadruped robots and drones for automated alpine forest mapping using SLAM algorithms and AI. The Digiforest and FORMA projects integrate advanced sensors to monitor forest health and biodiversity, while new research applies robotics to the study of animal behavior.
