Traps from nature: bioMIPs that capture inflammation
Silk and gelatin give rise to nanoparticles capable of recognizing and sequestering cytokines, the proteins that govern inflammation. This is the biomimetic technology of bioMIPs, born from the collaboration between the BIOtech Research Centre at the University of Trento and the Department of Biotechnology at the University of Verona.
Green Co-Driver: when sustainable driving meets drivers’ expectations
The Green Co-Driver project developed a driving assistance system that balances energy efficiency and user acceptance. Tests with 72 participants showed up to 34% lower energy consumption and over 50% greater vehicle range.
From Materials Engineering to International Markets: Matteo Boccato’s Journey Between Innovation, Chemistry and Global Relationships
Matteo Boccato, Sales Manager at ddchem srl, shares his journey from Materials Engineering to managing international markets in the chemical sector, exploring innovation, global relationships, sustainability and continuous professional growth.
What No One Tells You About Academic Careers
An interview with Professor Giovanni Straffelini about What No One Tells You About Academic Careers, a guide for PhD candidates and early-career researchers exploring the challenges, opportunities, and international nature of today’s academic career path.
Designing Hybrid Interfaces to Enhance Heat Transport in Nanocomposites
Discover how LPSQ-based polymer nanocomposites containing functionalized alumina nanoparticles enhance heat transport in thermal interface materials (TIMs). The study highlights the role of interfacial interactions in designing flexible, highly thermally conductive materials for advanced thermal management of high-performance electronic devices.
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.
