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MAINDH LAB - mAIndh lab

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Mindful Artificial Intelligence Innovation for Digital Heritage Laboratory
Department of Civil and Building Engineering and Architecture - DICEA
Department of Information Engineering - DII
Polytechnic University of Marche
L A B O R A T O R Y

I N T E R D I P A R T I M E N T A L ED I S C I P L I N A R E



mAIndh is an interdisciplinary laboratory dedicated to research and innovation in the field of tangible and intangible cultural heritage, through the conscious use of digital technologies and artificial intelligence.

mAIndh promotes an integrated approach ranging from knowledge to preservation, and from enhancement to communication, with the aim of making heritage accessible and usable in new, inclusive, and shared ways.

A W A R D S

DISCOVER THE AWARD-WINNING PROJECTS
Digital Library of MANaM - 3D Interactive Virtual Reality for the National Archaeological Museum of Marche
Festival F@IMP-2019, category interpretive exhibition installation
Digital Archaeology - The Roman theatre of ancient Ricina
Festival F@IMP-2020, category virtual reality
The archaeological area “I Pini” of Sirolo-Numana - The Tomb of Picenum QueenThe Roman theatre of ancient Ricina
Festival F@IMP-2021-2022, category virtual reality



Before the via Flaminia - A Journey with the worriors
Festival F@IMP-2024-2025, category exhibition installation, theme inclusivity and sustainability


Suasa Experience - Ancient City, Smart Future
Festival F@IMP-2024-2025, category mobile application, theme education and mediation

M I S S I O N

mAIndh aims to be a knowledge and innovation hub capable of uniting culture and technology, with the goal of protecting, enhancing, and transmitting cultural heritage in new, accessible, and participatory ways. Through a mindful use of artificial intelligence, the laboratory promotes an ethical and responsible approach that places the cultural, social, and educational value of heritage at the center: it is not merely about digitizing, but about interpreting, communicating, and sharing.

mAIndh is an active player in the university’s Third Mission, promoting dialogue among research, institutions, cultural bodies, and communities, and translating scientific knowledge into tangible value for society.

S O L U T I O N S

mAIndh develops Artificial Intelligence solutions and advanced digital systems to transform data, images, texts, 3D models, and geospatial information
into tools for analysis, interpretation, communication, and decision support.
The laboratory integrates expertise in AI, geomatics, computer vision, data analytics, digital heritage, and software development, guiding organizations,
businesses, and institutions from problem definition to the design, training, customization, and integration of AI models.
AI DRIVEN SOLUTION
Art Recognition and Automated Attribution
AI ENGINEERING & DEVELOPMENT
AI Model Training
Three-dimensional NeRF and 3D Gaussian digitization
Virtual Assistance with Chatbots and Avatars
Reconstruction of historical scenarios and characters
Predictive monitoring of sites
Data preparation e data engineering
Software programming and integration
Customization of AI solutions
Validation, testing, and explainability
Systems supporting human creativity
Development of generative-AI pipelines and LLMs
Automatic generation of 3D Models from multimodal data
Human-in-the-loop approaches
WHICH SECTORS WE APPLY OUR AI SOLUTIONS TO?
Born with a focus on the value of cultural heritage, we have transferred our methodological experience to the entire Italian productive fabric.
Today, we design and apply Artificial Intelligence systems to enhance excellence in all its forms:
from manufacturing to design, from advanced craftsmanship to precision industry.

A I F O R A R T

HOW AI IMPROVES THE ANALYSIS, CONSERVATION, AND RESTORATION OF ARTWORKS
ANALYZE

Analysis and Attribution
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Stylistic pattern recognition tools attribute artworks and trace artistic influences with unprecedented precision.

DIGITALIZE
Accelerated Digitalization
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Automatic cataloging projects accelerate the research and conservation of the world's cultural heritage.

INTERPRET
Augmented Interpretation
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AI agents suggest critical interpretations and evolutionary scenarios, integrating historical, cultural, and stylistic data in an innovative way.

T O O L S

mAIndh is equipped with state-of-the-art instrumentation for the digitization of cultural goods and architectural goods, landscape and territory, as well as equipment useful to display, test and interact with any type of digital fac-simile.

Our activities are aimed at processing geo-spatial data for landscape monitoring and cultural heritage, with particular attention to the quality and statistical accuracy of products.

P E O P L E

Department of Civil and Environmental Engineering and Architecture
Department of Information Engineering

Reference faculty:
Aldo Dragoni, Eva Savina Malinverni, Adriano Mancini, Romina Nespeca,
Marina Paolanti, Roberto Pierdicca, Domenico Potena, Ramona Quattrini,
Domenico Ursino, Renato Angeloni, Chiara Mariotti

Technical staff:
Anna Paola Pugnaloni, Luigi Sagone
prof. Clini Paolo
responsabile scientifico
professore ordinario in ICAR\17

p.clini@univpm.it
Distori Heritage
DISTORI (DICEA) è un gruppo di ricerca interdisciplinare su Digital Cultural Heritage, che si occupa di filiere di digitalizzazione e intelligenza artificiale che muovono dalla realizzazione di gemelli digitali al processo di conservazione e valorizzazione del patrimonio culturale, materiale e immateriale.
Vision Robotics and Artificial Intelligence
Il gruppo VRAI (DII) ha maturato un’esperienza pluriennale nel contesto dell’Intelligenza Artificiale per l’elaborazione di dati complessi anche nell’ambito della valorizzazione dei beni culturali. Il gruppo è coinvolto in diversi progetti di ricerca e di trasferimento tecnologico in diversi contesti che spaziano dall’Industria 4.0 all’agricoltura 4.0. Il gruppo si occupa di tecniche di elaborazione di immagini RGB, RGB-D, multi/iper-spettrali basate su deep learning anche attraverso sistemi AR/VR/XR e sistemi robotici.
Artificial Intelligence for Data Analytics
Il gruppo AIDA (DII) ha maturato un’esperienza pluriennale nel contesto dell’utilizzo dell’Intelligenza Artificiale per l’analisi e l’interpretazione dei dati. In questo contesto ha portato avanti numerosi progetti (nel contesto di bandi europei, nazionali e regionali nonché di finanziamenti erogati direttamente da aziende) di analisi descrittiva, diagnostica, predittiva e prescrittiva. Il gruppo si occupa di tecniche di Explainability nel contesto del Deep Learning nonché di Large Language Model e, più in generale, di Generative AI multimodale.
Data Analytics, Artificial Intelligence and CyberSecurity
Il laboratorio DAISY (DII) offre infrastrutture di calcolo per attività di ricerca e di sviluppo di prototipi software nei settori Databases and Information Systems, Social Network Analysis, Big Data Analytics, Process Mining, Natural Language Processing, Cybersecurity, e Software Engineering.
Le risorse del laboratorio supportano anche lo sviluppo di progetti e tesi per i Corsi di Laurea in Ingegneria Informatica e dell’Automazione. Il laboratorio ospita il nodo locale del Consorzio Interuniversitario Nazionale per l’Informatica (CINI) e lo spin-off universitario Callisia.
Artificial Intelligence and Real Time Laboratory
Il laboratorio AIRTlab (DII) è un laboratorio specializzato sul ragionamento basato sulla logica, sui sistemi autonomi distribuiti e sull'uso del Deep Learning per l'elaborazione di immagini e segnali. Sua principale missione è capire fino a che punto gli algoritmi di Intelligenza Artificiale possano funzionare entro precisi vincoli temporali.
                                                                                                                                                                                                                                 

C O N T A C T S




Mindful Artificial Intelligence Innovation
for Digital Heritage Laboratory
UNIVERSITA' POLITECNICA DELLE MARCHE
via Brecce Bianche 12, 60131 ANCONA
Dipartimento di Ingegneria Civile Edile Architettura
Dipartimento di Ingegneria dell'Informazione
© 2026 mAIndh lab. Tutti i diritti riservati.
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