Paolo Cascini

Paolo Cascini
Name	Paolo Cascini
Birth date	1960s
Birth place	Italy
Occupation	Computer scientist, academic
Alma mater	University of Florence
Employer	University of Florence
Known for	Computer vision, pattern recognition, machine learning, cultural heritage imaging

Paolo Cascini is an Italian computer scientist known for contributions to computer vision, pattern recognition, and applications of image analysis to cultural heritage. He has held faculty positions at the University of Florence and collaborated with European research institutions, museums, and industry partners. Cascini’s work spans theoretical advances in image processing and practical systems for digitization, conservation, and multimedia retrieval.

Early life and education

Cascini was born in Italy and received his formative training at the University of Florence, where he completed undergraduate and graduate studies in engineering and computer science. During his doctoral studies he engaged with research groups connected to the Istituto Nazionale di Fisica Nucleare and collaborated with laboratories associated with the European Union research networks and the Consiglio Nazionale delle Ricerche. His early mentors and collaborators included faculty linked to Italian technical universities and research institutes, fostering ties with international centers such as École Normale Supérieure, Imperial College London, and research teams at the Italian Institute of Technology.

Academic career

Cascini joined the academic staff at the University of Florence, advancing through ranks to a senior faculty position in departments tied to engineering and information technologies. He participated in pan-European initiatives funded by the European Commission and engaged in academic exchanges with universities such as Politecnico di Milano, Sapienza University of Rome, and foreign institutions including University College London, Technische Universität München, and the Massachusetts Institute of Technology. Cascini taught courses that interfaced with programs at the Scuola Normale Superiore di Pisa and supervised doctoral candidates who later took positions at institutions like University of Bologna, University of Padua, and research centers affiliated with CEA and CNRS.

In administrative roles he contributed to interdepartmental collaborations linking the Department of Information Engineering at his university with cultural organizations such as the Uffizi Galleries and municipal conservatories. He served on program committees for conferences organized by the Institute of Electrical and Electronics Engineers and the International Association for Pattern Recognition, and he was a visiting scholar at laboratories in the United States, Germany, and France.

Research contributions

Cascini’s research covers image segmentation, pattern recognition, feature extraction, and multimodal data fusion, with particular emphasis on applications for cultural heritage conservation, medical imaging, and multimedia retrieval. His work on segmentation algorithms built on foundations from pioneers affiliated with University of Cambridge, Carnegie Mellon University, and Stanford University, while incorporating approaches influenced by probabilistic models developed at University of Toronto and Brown University. He advanced methods for analyzing multispectral and hyperspectral imagery used in the study of paintings housed in institutions like the Galleria dell'Accademia and the National Archaeological Museum (Naples).

Cascini contributed to the adaptation of feature descriptors and matching techniques for tasks involving restoration and authentication, bridging methodological threads from research groups at Oxford University, ETH Zurich, and INRIA. His publications include developments of robust edge-detection schemes, region-based segmentation inspired by work from the University of California, Berkeley, and machine-learning pipelines aligned with trends emerging at Google Research and Microsoft Research. He participated in collaborative projects that applied reconstruction algorithms to three-dimensional models used by museums such as the Vatican Museums and the Museo Nazionale del Bargello.

His interdisciplinary projects often involved partnerships with conservation scientists, curators, and engineers from the European Research Council-backed initiatives, integrating imaging modalities employed by teams at National Gallery (London) and The Louvre for varnish removal assessment, pigment mapping, and non-invasive diagnostics. Cascini’s group also explored content-based image retrieval systems drawing on retrieval paradigms advanced at Cornell University and Peking University.

Awards and honors

Cascini received recognition from Italian and European bodies for contributions to applied computer vision and cultural heritage digitization. He was a grantee in programs funded by the European Commission and acknowledged by national research agencies including the Italian Ministry of Education, Universities and Research and the Fondazione Cassa di Risparmio di Firenze. He was invited to serve as a keynote and plenary speaker at symposia organized by the European Conference on Computer Vision, the International Conference on Pattern Recognition, and workshops hosted by the International Council of Museums. His service on editorial boards and scientific committees reflected esteem from peer communities at institutions such as IEEE, SPIE, and Springer Nature.

Selected publications

- Cascini, P.; coauthors. Papers on image segmentation and pattern recognition published in proceedings of the IEEE Conference on Computer Vision and Pattern Recognition and European Conference on Computer Vision. - Cascini, P.; coauthors. Articles on multispectral imaging and cultural heritage in journals associated with Elsevier and Springer. - Cascini, P.; coauthors. Contributions to edited volumes and workshop proceedings linked to the International Conference on Pattern Recognition and ACM Multimedia. - Cascini, P.; coauthors. Technical reports and collaborative deliverables for projects funded by the European Commission Framework Programmes and initiatives coordinated with the European Research Council.

Category:Italian computer scientists Category:University of Florence faculty