università Ca' Foscari venezia

marcello pelillo

Marcello Pelillo is a Professor of Computer Science and Artificial Intelligence at Ca’ Foscari University, Venice, where he leads the Computer Vision and Machine Learning Lab which he established in 1995. He has been the Director of the European Centre for Living Technology (ECLT) and has held visiting research positions at Yale University (USA), University College London (UK), McGill University (Canada), University of Vienna (Austria), York University (UK), NICTA (Australia), Wuhan University (China), Huazhong University of Science and Technology (Wuhan, China), South China University of Technology (Guangzhou, China). He is an external affiliate of the Computer Science Department at Drexel University (USA) and of the Italian Institute of Technology. His research interests are in the areas of computer vision, machine learning and pattern recognition where he has published more than 200 technical papers in refereed journals, handbooks, and conference proceedings. He has been General Chair for ICCV 2017, Program Chair for ICPR 2020, and he is regularly an Area Chair for the major conferences of his field. He is the Chief Editor of Frontiers in Computer Science – Computer Vision, and serves (or has served) on the Editorial Boards of several journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, IET Computer Vision, Visual Intelligence, etc. He is also on the Advisory Board of Springer’s International Journal of Machine Learning and Cybernetics. Prof. Pelillo is Fellow of the IEEE, the IAPR, and the AAIA, and is an IEEE SMC Distinguished Lecturer.

Artificial intelligence and Archaeology
In this talk I will provide an overview of the RePAIR project (https://www.repairproject.eu/) which aims to develop a ground-breaking technology to virtually eliminate one of the most labour intensive and frustrating steps in archaeological research, namely the physical reconstruction of large shattered artworks. By developing and integrating novel technologies in the fields of robotics, computer vision and artificial intelligence, we envisage a future where archaeology can deal effectively with reconstruction problems at an unprecedented scale, thereby bringing back to life ancient artworks and masterpieces which would otherwise remain broken into pieces forever. Specifically, we are developing an intelligent robotic system which will autonomously process, match and physically assemble large fractured artefacts at a fraction of the time it takes humans to do. Our system is being tested over iconic case studies.

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Cities on the Edge. Sustainability Challenges for Mediterranean Cities. Tales from Barcelona


25TH FEBRUARY

Electroporation: from the laboratory technique to a technological platform – the complexity and interdisciplinary approach

10TH MARCH

Artificial intelligence and Archaeology