Information magazine of the Department of Industrial Engineering

Università di Trento

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.

Modern Steelmaking: Processes, Technologies, and Industrial Practice

A complete, up-to-date guide to modern steelmaking: from iron ore reduction and blast furnace to BOF converter, electric arc furnace, secondary metallurgy, continuous casting and remelting technologies. With practical numerical examples for engineering students and industry technicians.

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