Giuseppe Patanè

RESEARH ACTIVITIES

My research and university teaching activities are mainly focused on the definition of data-driven models and algorithms for a hierarchical paradigm for the modelling, analysis, and simulation for 3D and multidimensional data, with a focus on geometric modelling and computational graphics. My overall research goal is the definition of a hierarchical paradigm for modelling and analysing 3D shapes and multi-dimensional data, with applications to computer graphics, computer vision, geographic information systems, medicine, and bio-informatics. Main applications of my research and project activities include computer graphics, geographic information systems, and bio-medicine. More recently, the results of my activities have been applied to the

- study and development of methods, algorithms, and services for modelling, integrating, and analysing large, heterogeneous geo-spatial data and for monitoring critical events, such as rainfalls and landslides. To this end, innovative algorithms have been developed to extract multi-resolution and feature-preserving representations of large 3D terrain models and to approximate heterogeneous data (e.g., time-varying rainfall field and radar data over 3D terrains models);

- study and development of new technologies to improve the diagnosis of inflammatory and/or degenerative musculoskeletal disorders and cancer (e.g., breast, thyroid). Specifically, my research activity is focused on the development of innovative algorithms for the processing, modelling, and analysis of MRI, CT, and elasto-sonographic images, by combining algorithmic and semantic approaches.

WORKING EXPERIENCE

- March 2020-present Senior Researcher at CNR-IMATI, Italian National Research Council, Institute of Applied Mathematics and Information Technologies, Genova - Italy.

- 2006-2020 Researcher at CNR-IMATI, Italian National Research Council, Institute of Applied Mathematics and Information Technologies, Genova - Italy.

- 2005-2001 Research Fellow at CNR-IMATI, Italian National Research Council, Institute of Applied Mathematics and Information Technologies, Genova - Italy. In this research period, I participated to the following research projects.

EDUCATION & TRAINING

- 2002-2005 Ph.D. in Mathematics, University of Genova, Italy.

- 2000 Advanced Post-Lauream Degree in 'Mathematics' Applications to Industry', Institute for Advanced Mathematics 'F. Severi', University of Milano Bicocca.

- 1994-1999 Master of Science in in Mathematics, University of Genova, Italy.

SCIENTIFIC HABILITATION

- 2027-2018 Scientific Habilitation as Full Professor, Scientific Sector 01/B1 - INF01 - Computer Science.

- 2026-2017 Scientific Habilitation as Full Professor, Scientific Sector 09/H1 - Systems for Information Processing.

- 2021-2019 Bi-annual Research Project 'Study and Development of Innovative Methods and Technologies for Analysis, Recognition, Quantification, Co-Registration, Fusion of Ultrasound and/or MRI Images to Support Diagnostics', Programme PO CRO European Social Funding Scheme, Regione Liguria. Principal Investigator.

- 2015-2012: Scientific Leader of the Bi-annual Research Project 'Methods and Techniques for the Development of Innovative Systems for Modeling and Analyzing Biomedical Data for Supporting Assisted Diagnosis', Principal Investigator.

- 2017-2015: Scientific Leader of CNR-IMATI activities for the Biannual Project FAR - TEDIG, 'Technologies for Echographic Diagnosis, Intervention, and Patient Management' FAR - Fondo Agevolazioni per la Ricerca. Principal Investigator.

- 2021-2016: H2020 EU ERC - Advanced Grant - 'CHANGE - New challenges for (adaptive) PDE solvers: the interplay of analysis and geometry'. Participant.

- 2016-2012: FP7 EU Collaborative Project IQmulus - 'A High-volume Fusion and Analysis Platform for Geospatial Point Clouds, Coverages and Volumetric Data Sets'. WP Leader and Participant.

- 2015-2011: FP7 EU Marie Curie Initial Training Networks: MultiScaleHuman - 'Multi-scale Biological Modalities for Physiological Human Articulation'. WP Leader and Participant.