ERC (European Research Council) projects

The European Research Council, established by the European Commission in 2007, has the objective to encourage high quality research in Europe through competitive funding assigned to the best international researchers. ERC became in a short time a benchmark of scientific excellence, positively characterizing also the research environment offered by the host institution as a whole.

In 2013 Politecnico di Torino has activated the project ERC@POLITO with the aim of supporting the participation of its researchers to this prestigious and competitive financing scheme. There are 11 approved ERC projects with PI (Principal Investigator) from Politecnico di Torino and 2 with Politecnico researchers as part of the research team.

  • Modelling approaches for designing new bioinspired dynamic materials

    The DYNAPOL project will develop multiscale molecular models and use advanced computational simulation and machine learning techniques to discover the fundamental chemical-physical principles and design new classes of artificial materials with bio-inspired dynamic properties, similar to those of living materials.

    Giovanni Maria Pavan

    Read more
  • Innovative models for the design of 3D printed composite materials

    PRE-ECO project will develop new mathematical models to allow the industrial use of 3D printed composite VAT (Variable Angle Tow Materials) with the objective of obtaining lighter and more robust components for various applications such as aeronautics.

    Alfonso Pagani

    Read more
  • Regenerate cardiac tissues after hearth disease

    The BIORECAR project proposes an innovative and multidisciplinary approach for in situ “direct reprogramming” of infarcted heart tissue into functional cardiac tissue, using bioengineering tools, including biomimetic biomaterials and nanomedicine.

    Valeria Chiono

    Read more
  • A year of calculations in a second: electromagnetic modeling in real time

    The project targets the transformation of the computational complexity of mathematical models in Computational Electromagnetics by drastically reducing the computational cost of numerical simulations. This will pave the way to new applications in brain activity assessments, in mind-machine interactions, in cancer imaging, and in electromagnetic dosimetry.

    Francesco Paolo Andriulli

    Read more
  • Tricking bone cells to fight osteoporosis

    Osteoporosis is characterized by very fragile bone tissue as a consequence of an unbalancement between two different cellular types: osteoblasts taking care of bone deposition and osteoclasts in charge of bone resorption. BOOST wants to manufacture a scaffold to mimic healthy bone features and thus rebalance osteoblast and osteoclast coupling, inducing them to behave like in a healthy tissue.

    Chiara Vitale-Brovarone

    Read more
  • A trojan horse to fight cancer cells

    The project aims to develop novel non-immunogenic nanoparticles, safe for the host organism and biodegradable. They will show a double functionality being theranostic nanoparticles, thus able to perform diagnosis and therapy at the same time. Moreover, no chemotherapeutic drug will be required, thus eliminating any side effects associated to their assumption.

    Valentina Cauda

    Read more
  • Nanotechnologies to fight cancer relapse

    XtraUS project will test and validate an innovative technology to fight circulating tumor cells (CTCs) and consequently reduce the relapse of a tumor disease.

    Valentina Cauda

    Read more
  • Modelling the complexity of emergencies

    The seriousness of extreme events such as earthquakes, hurricanes or terrorists acts, depends on the natural (or not) hazard but also on the human error in dealing with the emergency. The project proposes a new method to assess the performance of critical infrastructures during emergencies that takes into account also human behavior.

    Gian Paolo Cimellaro

    Read more
  • Integrated Smart Device for Emergency Management

    The project aims at developing wearable wrist band and a customized structural health monitoring system for managing emergencies. The system will be able to work in different emergency situations without depending on available power and common communication networks. 

    Gian Paolo Cimellaro

    Read more
  • Coping with water scarcity in a globalized world

    CWASI project tackles water globalization problems using quantitative methods to study the effects of water  relocation and trade through consumption and food production on food security and  water crises occurrence.

    Francesco Laio

    Read more
  • Heat conductive nanomaterials based on graphene

    The INTHERM project addresses the big challenge of how to tailor heat transfer across interfaces in polymer nanocomposites, by developing and applying the concept of thermal bridging at the interface between graphene particles in a network.

    Alberto Fina

    Read more
  • The challenge of compressing and processing big data

    CRISP project targets the emerging frontier research field of compressive sensing (CS), and particularly its application in the framework of complex information processing systems, including vision systems and big data. CS is a breakthrough technology that will have a profound impact on how these systems are conceived. 

    Enrico Magli

    Read more
  • Even digital cameras have fingerprints

    ToothPic exploits the fact that each optical sensor of digital cameras or smartphones leaves a unique fingerprint in all pictures. The project will develop a search engine taking as input a camera fingerprint or a photo and returning a list of photos acquired by the same camera.

    Enrico Magli

    Read more
  • From disordered systems physics to biological data analysis

    An interdisciplinary project proposing cross-fertilization between statistical physics computational biology.  OPTINF  is focused on two objectives: the study of optimization and inference algorithms based on advanced statistical physics methods for disordered systems, and their application to large-scale inverse problems in computational systems biology. 

    Riccardo Zecchina

    Read more