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Roberta Spallone is a Full Professor in the Department of Architecture and Design (DAD) at Politecnico di Torino, where she conducts research and teaches in architectural representation, digital modeling, and cultural heritage. Her work bridges historical architectural theory with cutting-edge digital technologies like AR, VR, and AI. Research Interests: Her research focuses on 3D and reconstructive modeling, augmented and virtual reality (AR/VR) for cultural heritage, descriptive geometry, history of architectural representation, and the study of architectural treatises—especially those on military engineering. She explores digital technologies for the survey, representation, and communication of cultural heritage, with a strong emphasis on geometric analysis and historical accuracy. The trends in her recent publications reflect a consistent focus on the digital interpretation of early modern military architecture, particularly through parametric modeling and geometric analysis of treatises by figures like Guarini. She applies AR and VR to enhance accessibility and storytelling in museum and urban heritage contexts, emphasizing inclusive and sustainable cultural tourism. Scientific Awards: Best paper award, Italian Union for Drawing - UID (2021) Best Paper, 40th International Conference of Teachers of Representation Disciplines UID (2018) Best paper, FORTMED Conference 2015 (Historical Research) UID Silver Plaque (1997) PhD 1st prize ex aequo, Italian Design Union (1997) Advising and Grants: She supervises PhD students including Enrico Pupi and Fabrizio Natta. She leads the national PRIN research project INFORTREAT and multiple applied research contracts involving AR/VR for heritage sites like Palazzo Carignano and Mirafiori Castle. She is the Scientific Responsible for collaborative agreements with Fondazione Torino Musei and the Regional Directorate of Museums in Piedmont. Labs, Teams, and Collaborations: She is a key member of the scientific committees of FORTMED, UID, and Nexus Architecture and Mathematics. She serves on editorial boards for journals such as Nexus Network Journal and Diseñar Con... , and has guest-edited special issues. She frequently collaborates with researchers across Europe on projects linking architecture, mathematics, and digital heritage.

• 3D modeling
• Reconstructive modeling
• Augmented Reality (AR)
• +12 more

Fabrizio Falchi is a researcher at the Artificial Intelligence for Media and Humanities (AIMH) Lab of the Institute of Information Science and Technologies (ISTI) within Italy's National Research Council (CNR). He also maintains an associate position at the Biorobotics Institute of Scuola Superiore Sant'Anna. His work focuses on developing advanced multimedia retrieval systems, with the VISIONE platform being his most notable contribution, which has won international competitions including the Video Browser Showdown in 2024 and placed second in 2023. Falchi's educational background includes: Ph.D. in Information Engineering from University of Pisa (Italy) Ph.D. in Informatics from Faculty of Informatics of Masaryk University of Brno (Czech Republic) M.B.A. from Scuola Superiore Sant'Anna in Pisa His research spans deep learning, convolutional neural networks, deep features extraction, similarity search algorithms, distributed indexing systems, multimedia information retrieval, computer vision applications, and peer-to-peer systems. Falchi has made significant contributions to fine-grained visual understanding, cross-modal retrieval (particularly image-text matching), and robustness of deep learning systems against adversarial attacks. His work demonstrates a strong focus on practical applications of these technologies, particularly in video retrieval systems and safety monitoring solutions. Analysis of Falchi's recent publications reveals a strong focus on video and image retrieval systems, with the VISIONE platform being central to his work. His research shows increasing emphasis on fine-grained understanding in computer vision, cross-modal retrieval, and addressing practical challenges like cross-resolution face recognition. Recent work demonstrates innovation in making these systems more efficient through techniques like knowledge distillation (ALADIN) and leveraging virtual worlds for training data. His publications consistently bridge theoretical advances with practical applications in surveillance, safety monitoring, and multimedia search. Falchi's work has received significant recognition: Best paper award at CBMI 2024 for 'Is ClLIP the main roadblock for fine-grained open-world perception?' VISIONE 2024 won the Video Browser Showdown competition in Amsterdam VISIONE obtained second place at Video Browser Showdown 2023 in Bergen Best Paper Award for 'Learning Safety Equipment Detection using Virtual Worlds' at CBMI 2019 Falchi collaborates extensively with researchers at ISTI-CNR, particularly within the AIMH Lab. His work on VISIONE involves collaboration with Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo. As co-chair of Ital-IA 2023, the 3rd National Conference on Artificial Intelligence, he plays an active role in the academic community. He is a member of ACM (since 2012), the Computer Vision Foundation, the Italian Association for Computer Vision Pattern Recognition and Machine Learning (CVPL), and the CINI Lab on Artificial Intelligence and Intelligent Systems. Falchi is a key member of the Artificial Intelligence for Media and Humanities (AIMH) Lab at ISTI-CNR, where he leads research on video retrieval systems. The lab has developed the award-winning VISIONE platform, which combines multiple scientific results in content-based video retrieval. His team focuses on developing systems that enable users to search for target videos using textual prompts, drawing objects and colors, or images as query examples. The lab's work demonstrates strong interdisciplinary collaboration, bridging computer science with practical applications in media, safety monitoring, and urban environments.

• deep learning
• convolutional neural network
• deep features
• +5 more

Maurizio Marco Bocconcino is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino. He is a member of the Interdepartmental Center R3C (Responsible Risk Resilience Center) and serves as Coordinator of basic subjects for the 2nd year of Engineering. His academic work bridges civil engineering and architectural design, with a strong focus on representation and digital modeling. His research interests include engineering drawing, territorial and urban surveying, geographic information systems (GIS), Building Information Modeling (BIM), data representation, and tools for urban and social regeneration. He investigates methods for surveying historic buildings, urban resilience, and the integration of digital technologies in heritage and urban planning. His work is aligned with UN Sustainable Development Goals 11 and 17, emphasizing sustainable cities and collaborative research. Bocconcino's recent publications explore digital archives for academic heritage, analog artifacts in engineering education, urban form, LEAN-BIM integration, and the visualization of social impact. His research outputs span journals such as DISEGNO , International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , and AGATHÓN , as well as conference proceedings in representation and urban planning disciplines. He is actively involved in research projects, including the EU-funded MAINCODE project on urban climate shelters and multiple commercial consulting contracts as Scientific Manager, focusing on urban and social regeneration. His teaching responsibilities include courses in engineering drawing, digital modeling, and graphic language across Civil, Environmental, and Building Engineering programs. Bocconcino collaborates with researchers such as Mariapaola Vozzola, Giorgio Garzino, Martino Pavignano, and Fabio Manzone. His affiliations with ERC sectors highlight expertise in civil engineering, computational modeling in culture, computer graphics, design, and information systems.

• Engineering Drawing
• Building Information Modeling (BIM)
• Geographic Information Systems (GIS)
• +12 more

Luigi De Napoli is an Assistant Professor in the Department of Mechanical, Energy and Management Engineering at the University of Calabria's Engineering Faculty. He has been serving in this position since March 1, 2006, and achieved National Scientific qualification as associate in the Italian higher education system for the disciplinary field of 09/A3 - Industrial design, machine construction, and metallurgy, starting from December 20, 2019. His educational background includes a Bachelor Degree in Mechanical Engineering from the University of Calabria in 1993, followed by qualification as an Engineer in 1994. He completed his Ph.D. degree in Design and Methods in Industrial Engineering at the University of Bologna in 2003, with a thesis focused on the reconstruction of archaeological artifacts using CAD systems. High school: Liceo Scientifico Statale E. Fermi di Cosenza (1986) Bachelor Degree: Mechanical Engineering, University of Calabria (1993) Engineer Qualification (1994) Scholarship: ITIA-CNR in Milan on advanced FEM and BEM systems (1995/96) Ph.D.: Design and Methods in Industrial Engineering, University of Bologna (2003) Dr. De Napoli's research primarily focuses on Reverse Engineering applications in Mechanical Engineering, Product Design and Development, and Virtual Prototyping. His work spans various applications including the reconstruction of archaeological artifacts, geometry inspection, hull and prosthesis reconstruction, and sustainable product design methodologies. His recent publications demonstrate a strong emphasis on biomedical applications, particularly in cranial prosthetics, tissue engineering, and ovarian tissue culture systems. His teaching portfolio is extensive, covering courses such as Computer-Aided Design, Sustainable Product Design, Engineering Drawing/CAD, and Modeling and Prototyping for Bioengineering across both Mechanical and Management Engineering programs. He has been teaching CAD courses since 2010 and Sustainable Product Design since 2011 at the University of Calabria. Dr. De Napoli is actively involved in the Research Group for Industrial Engineering Design and Methods (ING-IND/15), which focuses on methodologies and tools for product development processes, industrial product design and development (with particular attention to parametric and sustainable aspects), prototyping (virtual and mixed), and manufacturing using 3D printers. His work also encompasses Reverse Engineering techniques, User Centered Design methodologies for ergonomic analysis, and Virtual and Augmented Reality applications for industrial product design.

• Reverse Engineering
• Product Design and Development
• Virtual Prototyping
• +3 more

Fulvio Rinaudo is a Full Professor in the Department of Architecture and Design (DAD) at Politecnico di Torino, Italy, specializing in geomatics and cultural heritage documentation. With decades of experience in the field, he leads research in Geographic Information Systems (GIS), Historical Building Information Modeling (HBIM), photogrammetry, and the documentation of cultural heritage through advanced metric surveying techniques. His research interests span across multiple domains of cultural heritage preservation, including: Georeferenced databases (GIS) for cultural heritage management HBIM applications for architectural documentation and conservation Automatic digital photogrammetry for objects and contexts of varying scales Metric survey techniques for documenting historical buildings and urban contexts Digital documentation methodologies for cultural heritage preservation Rinaudo's recent scholarly output demonstrates a clear focus on advancing technological approaches to cultural heritage documentation, particularly through HBIM systems, environmental risk assessment for heritage sites, and innovative surveying methodologies. His work increasingly integrates emerging technologies like SLAM systems, 360° imaging, and cloud-based platforms to create more efficient and accurate documentation workflows. A significant portion of his recent research addresses the challenges of documenting and preserving heritage in Central Asia, particularly through the ERAMCA project focused on environmental risk assessment. Among his notable recognitions is the Best Poster Award at the CIPA Symposium awarded by ICOMOS CIPA-HD in France (2013). His leadership in the field is further evidenced by his current role as President of CIPA Heritage Documentation (2024-2027) and previous position as Secretary of ICOMOS Italy (2020-2022). Professor Rinaudo actively supervises PhD students across multiple institutions including Politecnico di Torino and Sapienza University of Rome. He has secured significant research funding through competitive grants including the ERAMCA project (Environmental Risk Assessment and Mitigation on Cultural Heritage assets in Central Asia), the RURITAGE project, and the GAMHER project (Geomatics data Acquisition and Management for landscape and built Heritage in an European Perspective). He serves on editorial boards for journals including VIRTUAL ARCHAEOLOGY REVIEW and APPLIED GEOMATICS, and participates in major international conferences as a scientific committee member for CIPA and ISPRS events. His external teaching engagements include positions at Katholieke Universiteit Leuven (Belgium) and Turin Polytechnic University in Tashkent.

• Geographic Information Systems (GIS)
• Geomatics
• HBIM (Historical Building Information Modeling)
• +5 more

Dario Pezzuto serves as an external lecturer and teaching collaborator at Polytechnic University of Turin, affiliated with the Department of Architecture and Design (DAD), Department of Structural, Building and Geotechnical Engineering (DISEG), and Interuniversity Department of Territorial Sciences, Planning and Policies (DIST). His research interests focus on sustainable architecture, particularly low environmental impact building strategies and adaptive building components. His work bridges architectural restoration, building surveying techniques, and contemporary sustainable design principles. He has contributed to the development of Zero Energy Design approaches and innovative building technologies that respond to environmental challenges. His scholarly contributions include conference proceedings on sustainable building strategies presented at academic venues including Sustainable Building Southern Europe and CODAT study days at Politecnico di Torino. As an educator, he has served as Course Collaborator for numerous architecture and engineering programs, demonstrating expertise in architectural drawing, surveying, and representation techniques across multiple academic departments.

• Sustainable Architecture
• Architectural Restoration
• Building Surveying
• +3 more

Carlo Ricciardi is a Full Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, where he serves as Coordinator of basic subjects for the 2nd year of Engineering and is a member of the Interdepartmental Center CWC - CleanWaterCenter@PoliTo. His research focuses on nanomechanical sensing and memristive nanodevices, with applications spanning biomedical engineering, environmental monitoring, and brain-inspired computing systems. His research interests center on the intersection of nanotechnology and biological systems, particularly in developing bio-inspired nanodevices for sensing applications. Ricciardi's work bridges fundamental nanoscience with practical implementations in memristive devices , nanomechanical sensors , and brain-inspired computing architectures . His research group explores how nanoscale phenomena can be harnessed for biomedical applications, environmental monitoring, and next-generation computing paradigms that mimic neural processing. The recent publications reveal a strong trend toward neuromorphic computing using nanowire networks, with significant work on self-organizing systems that exhibit brain-like computational properties. His research spans multiple disciplines including nanotechnology, materials science, electronics, and biophysics, with a particular emphasis on creating sustainable and efficient computing systems inspired by biological principles. The work often combines experimental fabrication with theoretical modeling to understand complex phenomena at the nanoscale. Young Scientist Award (European Materials Research Society, 2002) Keynote Paper Finalist, Biosensors 2010 (2010) Premio Giovedì Scienza (2012) National Scientific Qualification as Associate Professor Sector 02/B1 (MIUR, 2013) National Scientific Qualification - Second Band - Sector 02/B3 (MIUR, 2013) Ricciardi actively mentors doctoral students and serves on multiple PhD program committees across Physics and Engineering disciplines. He has secured substantial research funding through competitive national and international projects including the EU-funded GreenChips-EDU (2023-2027), NEURONE (2023-2025), and MEMQuD (2021-2024) projects. His collaborations span academia and industry, with partnerships including the University of California Berkeley and various European research institutions. As Principal Investigator of the NaMeS research group, Ricciardi leads investigations into two interconnected research domains: nanomechanical sensing and memristive nanodevices. The group operates specialized laboratories including the CHILAB Laboratory in Chivasso and the Nanoscience Vibrometric Lab, focusing on developing innovative sensor technologies and neuromorphic computing architectures that draw inspiration from biological systems.

• Nanomechanical sensing
• Memristive nanodevices
• Biosensors
• +6 more

Beppe Liotta is a Full Professor at the Department of Engineering, University of Perugia. He serves as Rector Delegate for ICT and Digital Agenda. His research spans network discovery, graph drawing, algorithm engineering, and computational geometry . Laurea in Electrical Engineering (1990), Ph.D. in Computer Engineering (1995), both from University of Rome 'La Sapienza' Post-doc at Brown University (1995-1996) Current teaching: Information Visualization and Database Management Systems Liotta has authored over 170 papers and led projects like VisFAN (financial crime detection), VHyXY (large graph visualization), COWA (web traffic analysis), and WhatsOnWeb (web clustering). His work focuses on hybrid visualizations and network robustness . Recent articles highlight his expertise in biological networks , financial activity networks , and one-to-many matched graph visualizations . He has contributed to journals like IEEE Transactions on Visualization and Computer Graphics and conferences including PacificVis and Graph Drawing . Liotta actively participates in scientific service, including editorial roles for the Journal of Graph Algorithms and Applications and program committees for IEEE PVIS 2019.

• Network Analysis
• Graph Drawing
• Data Visualization
• +5 more

Francesca Nonis is an Assistant Professor and Fixed-term researcher at Politecnico di Torino's Department of Management and Production Engineering (DIGEP). She is an invited member of both the College of Architecture and Design and the College of Mechanical, Aerospace, and Automotive Engineering. As part of the 3D LAB research group, she contributes to cutting-edge research in human-computer interaction applications and 3D data visualization. Dr. Nonis specializes in Facial Expression Recognition (FER) using Deep Learning techniques, with a focus on 3D data applications for human-computer interaction. Her research spans multiple domains including virtual reality, affective computing, and cultural heritage preservation. She has developed methodologies for real-time facial expression recognition and has contributed to building spontaneous 3D facial expression databases that have advanced the field of emotion recognition. Her recent publications reveal a strong trend toward interdisciplinary research that bridges computer science, psychology, and cultural applications. She has made significant contributions to metaverse platforms for cultural heritage preservation, user engagement studies using EEG in museum settings, and the development of affective virtual reality environments. Her work consistently applies advanced computer vision and deep learning techniques to solve real-world problems in human-computer interaction. Dr. Nonis has co-authored a national patent titled "Methodology for real-time facial expression recognition" with Federica Marcolin, Luca Ulrich, and Enrico Vezzetti. Her teaching portfolio includes Industrial Technical Drawing and Modeling Design courses across multiple engineering disciplines including Aerospace Engineering, Mechanical Engineering, Chemical and Food Engineering, and Design and Communication programs. As a core member of the 3D LAB research group, Dr. Nonis collaborates on projects involving facial morphology studies, innovative surgical guides, augmented reality applications, and e-learning solutions. The lab's work leverages 3D sensors, augmented and virtual reality, and machine learning techniques to develop applications for medical, security, and marketing domains.

• Facial Expression Recognition
• Deep Learning
• Human-Computer Interaction
• +6 more

Massimiliano Lo Turco is a Full Professor at the Department of Architecture and Design (DAD) of the Polytechnic University of Turin. Specializing in digital modeling and cultural heritage, he actively contributes to the fields of Building Information Modeling (BIM), Heritage BIM (HBIM), and 3D reconstruction. University: Polytechnic University of Turin Department: Department of Architecture and Design (DAD) Academic Rank: Professor Research interests include: 3D modeling, reconstructive modeling, augmented/virtual reality, descriptive geometry, architectural representation history, digital cultural heritage, and parametric design. His work often bridges computational tools with heritage conservation. Recent publications demonstrate expertise in: HBIM for Baroque facades, digital preservation of Balinese architecture, parametric design education, and AI-BIM integration. These works align with his broader focus on digital strategies for heritage and sustainable architecture. Scientific awards: Effective member of Italian Union for Drawing (2015-) Associate Editor of Dn - Building Information Modeling, Data & Semantics (2018-) Grants and collaborations: Scientific Director for PhD scholarships in architectural heritage, Contract Manager for agreements with ASL Vercelli, Principal Investigator for research with CNR, and leader of multiple commercial and non-commercial projects with institutions like Museo Egizio and LINKS Foundation.

• 3D modeling
• Reconstructive modeling
• Augmented Reality (AR)
• +9 more

Valter Scelsi is a Full Professor in the Department of Architecture and Design at the University of Genoa, serving as Rector's Delegate for the Valletta Puggia Campus and Territorial Facility Management Center. His teaching includes Design Laboratory 3, Architectural Theory, and Architecture Studio across undergraduate and master's programs in Architectural Sciences and Building Engineering. His research centers on architectural atmospheres, urban composition, and the emotional/physiological impacts of built environments. He investigates how spatial configurations evoke priming effects and first impressions through integrated self-report and physiological measurements, with significant focus on heritage contexts like Genoa's Pammatone Complex. This interdisciplinary work bridges architecture, environmental psychology, and neuroscience to develop evidence-based design frameworks. Recent publications demonstrate a clear trajectory toward neuroarchitectural methodologies, with increasing integration of physiological response metrics in atmospheric studies. Collaborative projects examine memory-atmosphere interactions in historical sites and emotional responses to spatial configurations, reflecting a shift from theoretical exploration toward empirical validation of atmospheric effects on human cognition and behavior. Professor Scelsi maintains regular office hours by appointment at the Department of Architecture and Design, actively contributing to campus management while advancing research at the intersection of architectural theory and human-centered design.

• Architecture
• Urban Design
• Architectural Theory
• +3 more

Chiara Epifanio is a researcher (INFO-01/A) at the University of Palermo , based in the Department of Mathematics and Computer Science . She holds regular office hours on Tuesdays 14:30–17:00 in Room 104, first floor, Via Archirafi 34, and can be reached at chiara.epifanio@unipa.it . Over the past fifteen years she has designed and taught a diverse portfolio of courses spanning Programming , Bioinformatics , Advanced Programming , Teaching Methodologies and Techniques for Computer Science and Pattern Discovery for Life Sciences . These offerings serve degree programmes in Mathematics, Computer Science, Statistics & Data Science, and the recently launched curricula in Data, Algorithms & Machine Intelligence and Computer Science & Artificial Intelligence . Her research lies at the intersection of combinatorics on words , string algorithms , and bioinformatics . She has made sustained contributions to the design of alignment-free distances for biological data, the theory of Sturmian words and their associated graphs, suffix automata tolerant to mismatches, and compact data structures such as linear-size suffix tries. The work repeatedly draws on deep results from formal language theory, automata theory, and discrete mathematics to solve practical problems in sequence analysis. Publications trend: From 2004 onward she has produced a steady stream of peer-reviewed articles that move from foundational combinatorial results on Sturmian words and critical factorization theorems toward application-driven studies on approximate string matching and genomic data mining. A marked acceleration is visible in the 2023 publications addressing k-Hamming and k-edit distances, reflecting current demands in large-scale biological data analytics. Scientific awards: None explicitly mentioned in the provided material. Advising & grants: No PhD or Master’s students are listed in the supplied pages, and no funded project descriptions are available. Laboratories & teams: While no specific lab is named, her teaching and research are embedded within the Department of Mathematics and Computer Science, which hosts groups in algorithms, discrete mathematics, and bioinformatics, and provides access to the university’s ATeN Center and other research infrastructures.

• Algorithms on strings
• Formal language theory
• Bioinformatics
• +3 more

Fabrizio Montecchiani is an Associate Professor at the University of Perugia's Department of Engineering. He holds a Ph.D. in Computer Engineering from the same university (2014). His research focuses on graph drawing, algorithms, computational geometry, and information visualization with applications to Big Data. He coordinates the Large-scale Data Analysis & Visualization Lab (LDAV LAB), part of the national CINI Big Data Laboratory since 2019. Education: Ph.D. in Computer Engineering, University of Perugia, 2014 Research Interests: Graph Drawing and Algorithms Computational Geometry Visual Analytics and Information Visualization Algorithm Engineering for Big Data His work bridges theoretical foundations with practical applications in network visualization, data science, and algorithm design. Grants & Awards: Principal Investigator for MIUR, PRIN 2022 grant (NextGRAAL) Recipient of the 2022 National Scientific Habilitation for full professorship 2021 Best Young Italian Researcher Award in Theoretical Computer Science 2021 Best Paper Award at GD Teaching & Leadership: Lectures on Computational Models, Software Engineering, and Big Data Co-founder of CONTATTI Srl (2017), a spin-off for tourism-focused ICT solutions Editorial roles at Journal of Graph Algorithms and Applications and Computational Geometry His contributions extend to academic leadership, including organizing major conferences like GD and EuroCG. Technology Transfer: Co-founder of Vis4 Srl (2009), working on visualization solutions for financial and marketing domains Collaborations with institutions like the Financial Intelligence Agency (San Marino) and Fabrica (Benetton Group)

• Graph Drawing
• Graph Algorithms
• Computational Geometry
• +4 more

Salvatore Barba is a Full Professor in the Department of Civil Engineering at the University of Salerno, Italy, where he conducts research and teaching in architectural surveying, cultural heritage documentation, and digital reconstruction. He also serves as a Contract Professor at the Faculty of Architecture, University of Basilicata, Matera. His work bridges engineering, architecture, and heritage science, focusing on advanced digital methodologies. Research interests: His expertise lies in photogrammetry , remote sensing , 3D laser scanning , GIS-BIM integration , and augmented reality for cultural heritage. He investigates degradation diagnostics, low-cost survey tools, and micro-photogrammetry, emphasizing interdisciplinary and methodologically rigorous approaches to digital documentation. Publications and technology: His recent articles highlight the application of UAVs, wearable SLAM scanners, and handheld microscopes in heritage contexts. He validates instruments like the Shining 3D EinScan-Pro and develops protocols for high-accuracy documentation. His work consistently underscores the importance of expert interpretation over purely automated processes in surveying. Scientific Awards: No specific awards mentioned in the provided text. Advising and grants: While specific students and grants are not listed, he collaborates on international projects, participates in technology transfer agreements (e.g., with Dino-Lite), and contributes to methodological advancements in heritage science. His role as a faculty member implies advising graduate students in civil engineering and architectural documentation. Labs and teams: He is involved in research activities related to digital heritage documentation, likely within laboratory facilities at the University of Salerno. His collaborative work with researchers across Europe and on diverse heritage sites indicates active participation in interdisciplinary research teams focused on advanced surveying and conservation technologies.

• Architectural Drawing
• Conservation and Restoration
• Remote Sensing
• +8 more

Anna Osello is a Full Professor at the Department of Structural, Building and Geotechnical Engineering, Politecnico di Torino. She serves on the Coordinating Committee of the Politecnico University Centre for Social Affairs and is a member of the SISCON Interdepartmental Center for Infrastructure Safety. Her research focuses on Building Information Modeling (BIM), Smart Cities, Virtual and Augmented Reality (VAR), and Digital Twin technologies. She has led numerous commercial and competitive research projects, including MANAGE5.0, BDFA, and EEB, emphasizing energy efficiency and infrastructure management. Scientific Awards Learning to Teach (L2T) Open Badge National and International Patent: Method and System for Monitoring Objects in a Housing Unit by Eye Tracking Research Trends 2025: Machine Learning in BIM for Tunnel Reconstruction 2025: Integrated BIM Methodology for Bridge Monitoring 2024: Complexity Logic in Building Systems 2023: Geospatial BIM-GIS for Hydropower 2022-2024: Digital Twins for Infrastructure Management PhD Students Sabina Accogli (Urban Regional Development, 40th cycle) Elisa Stradiotto (Urban Regional Development, 40th cycle) Francesco Loddo (Civil Environmental Engineering, 39th cycle) Jacopo Fiorenza (Computer Engineering, 38th cycle) Daniela De Luca (Urban Regional Development, 35th cycle) Grants and Projects MANAGE5.0 (2022-2024, PNRR) BDFA (2020-2021, Private Foundation) CANP - La casa nel parco (2018-2020) DISLO-MAN (2016-2019, Regional Platform) Labs and Teams Lead the 'drawing TO the future' lab Collaborated with SISCON Interdepartmental Center Involved in BIM-GIS-IoT integration projects

• Building Information Modeling (BIM)
• Smart Cities
• Virtual and Augmented Reality (VAR)
• +5 more