Information magazine of the Department of Industrial Engineering

Università di Trento

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.

TinyML: machine learning for low-power applications.

TinyML enables machine learning on resource-constrained devices typical of IoT. It offers benefits such as local processing, low latency, improved privacy, and reduced energy consumption, while posing challenges in model optimization, compression, and computational capacity.

From the University of Trento to Ferrari Formula 1

Nearly 200 students from the University of Trento attended Ferrari’s F1 Engineering Academy presentation. The event combined career guidance and a tech talk, highlighting required skills and opportunities to enter Formula 1, focusing on teamwork, data analysis, and technological innovation

From fundamental chemistry to industrial sustainability

This work introduces an innovative approach to olefin oxidative cleavage based on the in situ generation of nitrate radicals via TiO₂ photocatalysis. The method enables the production of carbonyl compounds under mild conditions while reducing hazardous oxidants. Electro-assisted systems further enhance efficiency and sustainability for scalable applications.

When Artificial Intelligence learns from physics

A physics-guided AI approach uses structured neural networks to model brake wear emissions, combining engineering knowledge and data to achieve more interpretable, efficient, and robust predictive models.

From nature to clinic: natural inks for bone tissue regeneration

An interdisciplinary study between Trento and Sydney explores natural bioinks for bone regeneration. Using 3D bioprinting and materials such as silk fibroin, hydroxyapatite, and tropoelastin, bioactive, sustainable, and customizable scaffolds were developed.

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