Eva Malinverni | Engineering | Research Excellence Award

Università Politecnica delle Marche | Italy

Prof. Eva Savina Malinverni is a Full Professor of Geomatics (SSD ICAR/06) at the Faculty of Engineering, DICEA, Università Politecnica delle Marche. Her research focuses on multiple areas of Geomatics, including Cultural Heritage documentation, land use analysis, digital acquisition techniques, and the management of complex spatial data through GIS, (H)BIM, 3D modeling, and CityGML. She is actively involved in international research initiatives, collaborating with CNR-ISPC and participating in several MAECI projects related to UNESCO and heritage sites across Europe, the Middle East, Southeast Asia, and South America. She leads major international and European projects, including bilateral scientific cooperation initiatives and EU-funded research on combating illicit cultural heritage trafficking through artificial intelligence. An active member of ICOMOS and Expert Member of CIPA-HD, she has also contributed to COST Actions focused on cyberparks and underground built heritage. With an extensive scientific output and strong interdisciplinary collaborations, she has co-founded university spin-offs and works closely with several interdepartmental research centers, contributing significantly to innovation, heritage preservation, and applied geomatics research.

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Featured Publications


A survey of augmented, virtual, and mixed reality for cultural heritage

– Journal on Computing and Cultural Heritage, 2018


From TLS to HBIM: High quality semantically-aware 3D modeling of complex architecture

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015


Deep convolutional neural network for automatic detection of damaged photovoltaic cells

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018


A benchmark for large-scale heritage point cloud semantic segmentation

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Eva Malinverni | Engineering | Research Excellence Award

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