BENEFICIARIES

  • MAIN
  • ISTITUTO DI RICERCHE FARMACOLOGICHE MARIO NEGRI
  • ISTITUTO SUPERIORE DI SANITÀ
  • FEDERAZIONE NAZIONALE DELL’INDUSTRIA CHIMICA
  • POLITECNICO DI MILANO, DIPARTIMENTO DI ELETTRONICA E INFORMAZIONE
  • KnowledgeMiner Software Frank Lemke
POLITECNICO DI MILANO
Politecnico di Milano University

The Politecnico di Milano University was established in 1863 and is now ranked as one of the most outstanding European universities in Engineering, Architecture and Industrial Design, and in many disciplines is regarded as a leading research institution worldwide.

The Dipartimento di Elettronica e Informazione (DEI, Department of Electronics and Information) of the Politecnico di Milano is a unique environment that blends competences and disciplines that in other universities are usually mapped in separate CS and EE departments. At DEI cross-fertilization is instead a working reality where researchers are eager to tackle complex and challenging problems, contributing to shape key achievements in computer engineering, telecommunications, systems and control, electronics. The Department has been graded as excellent in the 2007 external review evaluation. The computer science and engineering section hosts a number of research topics, including Artificial Intelligence, Data Mining and Bioinformatics.

The group participating on the proposal has experience in developing software tools (as done for the EU funded ION project in developing a sequential high throughput ion channel screening system for drug discovery) and in extending existing programs for modelling, as done in the EU funded DEMETRA end CAESAR projects, with the WEKA and CDK open source packages. Moreover they are active in higher education, and offering courses in PhD programs as well as interdisciplinary projects in the ASP (Alta Scuola Politecnica) restricted Master program.

The scientific responsible of the beneficiary in this proposal is Giuseppina Gini. Her research experience includes Artificial Intelligence and expert systems, Data Mining, computational intelligence, statistical modelling, ensembling methods. She has worked as partner or coordinator in the past ten years on many European projects in those areas. Among other professional services, she served as the Program Co-chair for the AAAI Spring Symposium on Predictive Toxicology (Stanford 1999). She is a reviewer for ACM Computing Reviews, Int. Journal of Production Research, Int. Journal of Chemical Information and Computer Sciences, as well as various AI and Robotics Journals and Conferences. She is author of more than 180 refereed publications.

POLIMI is responsible for the following actions: ACTION 7: Architecture for integration of different non-testing methods for best performances and coverage of applicability

 
beneficiaries