Il ricevimento studenti è previsto dal lunedì al venerdì, dalle 10:00 alle 17:00 presso l'ufficio del Docente: STANZA 181 I Piano, Plesso di Santa Marta, previo appuntamento da concordare via e-mail all'indirizzo rocco.furferi@unifi.it.
Il Prof. Rocco Furferi è attualmente Referente del Corso di Studi in Ingegneria Meccanica dell’Università di Firenze
Dal luglio del 2021 all'aprile del 2025 è stato Referente del Corso di Laurea Magistrale in Ingegneria Meccanica
E' Professore Associato presso il Dipartimento di Ingegneria Industriale di Firenze (DIEF), Università degli Studi di Firenze (Italia), dove insegna i corsi di Disegno Meccanico e Reverse Engineering per l’ottimizzazione. È membro del laboratorio T3DDY, il cui obiettivo è sviluppare approcci multidisciplinari per la realizzazione di nuove soluzioni in cui ricerca, progettazione e formazione si integrano per offrire soluzioni assistive innovative, personalizzate e all’avanguardia, basate sull’utilizzo della stampa 3D e di procedure CAD 3D.
È responsabile di numerosi progetti nazionali e internazionali per il DIEF, tra cui il PNRR CHANGES (Cultural Heritage Active Innovation for Next-Gen Sustainable Society) e il TUSCANY HEALTH ECOSYSTEM – SPOKE 3 “Advanced technologies, methods and materials for human health and well-being”. È autore di oltre 150 pubblicazioni nei campi del Reverse Engineering, della Geometria Computazionale, del CAD e dell’Ingegneria Tessile e Meccanica, nonché dell’Intelligenza Artificiale.
E' autore di oltre 200 pubblicazioni su Rivista Internazionale e su Atti di Convegno.
E' autore anche di libri per la Didattica del Disegno Meccanico.
Prof. Rocco Furferi is an Associate Professor at the Department of Industrial Engineering (DIEF) of the University of Florence, where he works in the scientific sector IIND-03/B “Design and Methods of Industrial Engineering.” A mechanical engineer fully trained at the University of Florence, he obtained his PhD in 2005 with a thesis focused on the development of machine vision systems for the characterization of textile products, immediately initiating a strongly multidisciplinary scientific career.
His research activity, extensive and well established, focuses on methods and tools of industrial engineering with applications in manufacturing, biomedical engineering, textiles, cultural heritage, agri-food, and circular economy. His contributions range from design for additive manufacturing to industrial process modeling, from 2D/3D vision for quality control to advanced simulation, and to the development of digital technologies and intelligent systems for product and process innovation. He is the author of numerous scientific publications in international Q1 journals, book chapters, conference proceedings, and textbooks, and is co-inventor of several patents developed in collaboration with industry.
Since 2018, he has been an Associate Professor and holds several institutional roles within the University, the School of Engineering, and the Department. Among the most significant:
Coordinator of the Bachelor’s Degree Program in Mechanical Engineering (since 2025)
Coordinator of the Master’s Degree Program in Mechanical Engineering (2021–2025)
Member of the Board of the Department of Industrial Engineering
Department Representative for University Rankings (2020–2023)
Member of the University Task Force for the National Recovery and Resilience Plan (PNRR) (2021–2023)
Coordinator and member of committees, review groups, boards, and evaluation activities at various levels
Within PhD programs, he has served as curriculum coordinator, board member, lecturer, and supervisor of numerous PhD students, contributing to advanced training in industrial engineering.
Prof. Furferi has been engaged in continuous teaching activity for over twenty years, covering core subjects for industrial engineering education, including mechanical drawing, CAD modeling, applied reverse engineering, graphical methods, and technical representation.
He has:
taught courses in several Bachelor’s and Master’s degree programs (Mechanical, Management, Civil-Environmental, Biomedical Engineering, Design, etc.);
contributed to the design of innovative training programs for teachers (PF60–PF30);
supervised more than 90 thesis projects, often in collaboration with companies and research centers;
authored reference textbooks (e.g., Exercises in Mechanical Drawing, Zanichelli Manual, etc.).
His teaching is complemented by continuous supervision of students, research groups, and laboratory activities.
Prof. Furferi’s scientific activity is characterized by the integration of advanced engineering methods and innovative digital technologies. His main research lines include:
1. Additive manufacturing and advanced design
DFAM methods, topology optimization, and generative design
Development and characterization of AM and RE systems applied to mechanical engineering and personalized medicine
2. 2D/3D computer vision and reverse engineering
Optical and spectrophotometric systems for quality control
3D reconstruction, geometric modeling, and advanced digital representation
Applications in industry and cultural heritage
3. Modeling and simulation
Textile, polymer, ceramic, and wood processes
Biomechanical modeling, fluid dynamics, and biomedical simulations
4. Technologies for cultural heritage
2.5D and 3D digital reconstruction, multisensory systems, and innovative museum experiences
Coordination of European and national projects (e.g., NanomeCH Cluster, IMAT, MONZA)
5. Personalized medicine
Custom devices for cranioplasty, pectus treatment, fractures, and pediatric surgery
Development of exoskeletons, surgical aids, and biomimetic materials
6. Circular economy and textile industry
AI systems for color analysis, defect detection, and quality classification
Modeling of dyeing processes, finishing, and sustainable production
7. Agri-food and enabling technologies
Predictive systems for olive oil and innovative technologies for food processing
Prof. Furferi has coordinated or managed numerous regional, national, European, and industrial projects, including:
PNRR (PE5, Ecosystems, CN1–CN4)
European projects (FP7, LIFE+, Creative Europe)
Regional funding programs (FESR, FAS, FIT)
Competitive projects funded by Fondazione CRF, MISE, Fondimpresa
Collaborations with national and international industries and research centers
He has collaborated with partners such as Meyer Children’s Hospital, Careggi University Hospital, Tecnotessile, Avio Aero, New Mill, FASEP, textile and manufacturing companies, museums, regional institutions, and European universities.
He is co-inventor of patents in the fields of machine vision, leather dyeing, non-invasive diagnostics, and personalized biomedical devices. He has developed prototypes and functional systems used in industrial, hospital, and airport contexts, with a strong focus on technology transfer.
Prof. Furferi serves on editorial boards, acts as guest editor for international scientific journals, and reviews competitive projects and European calls. He has participated as chairman, invited speaker, and organizer at major international conferences in industrial engineering and cultural heritage.
He is also involved in joint laboratories and research centers (ReVIP, T3DDY, CUSTOM3D, RING Lab, Assistive Robotics Joint Lab), supporting multidisciplinary activities that integrate mechanics, robotics, medtech, and digitalization.
Additive Manufacturing e Design for Additive Manufacturing (DFAM) Metodi di progettazione avanzata, ottimizzazione topologica, sviluppo e caratterizzazione di sistemi AM.
Reverse Engineering e Visione Artificiale 2D/3D Ricostruzione geometrica, dispositivi di acquisizione 3D, sistemi di controllo qualità basati su visione.
Modellazione e Simulazione di processi industriali Processi tessili, polimerici, ceramici, del legno e processi produttivi complessi.
Metodologie digitali avanzate per la rappresentazione tecnica Wireframe, superfici, shape-from-shading, modellazione e computazione grafica.
Tecnologie per i Beni Culturali Ricostruzione 2.5D/3D, conservazione digitale, sistemi multisensoriali e fruizione museale innovativa.
Medicina Personalizzata e Bioengineering Dispositivi su misura tramite AM, sistemi 3D biomedicali, supporti chirurgici, esoscheletri, analisi topologica di patologie.
Intelligenza Artificiale per industria e biomedicale Controllo qualità, analisi colore, classificazione di materiali, modelli predittivi e diagnostici.
Innovazione nel settore tessile e moda Visione artificiale, colorimetria, simulazione di processi tintoriali, economia circolare e sostenibilità.
Tecnologie per il settore agroalimentare Sistemi predittivi e modellazione dei processi di estrazione.
PERCONFERMA DEGLI ORARI E PER INFO SULLE AULE VI SARA' INVIATO UN MESSAGGIO SU MOODLE
Legenda
Rocco Furferi (PhD) is Associate Professor at the Department of Industrial Engineering of Florence (DIEF), University of Florence (Italy) where he teaches the courses Mechanical Drafting and Reverse Engineering for optimization. He is Referee for the Mechanical Engineering Bachelor Degree Course and member of the T3DDY Lab whose aim is to devise multidisciplinary approached to the development of new solutions where research, design, and education come together to offer innovative, customized state-of-the-art care solutions and beyond, based on the use of 3D printing and 3D CAD procedures.
He is responsible for numerous national and international projects for DIEF, including the PNRR CHANGES (Cultural Heritage Active Innovation for Next-Gen Sustainable Society) and TUSCANY HEALTH ECOSYSTEM - SPOKE 3 Advanced technologies, methods and materials for human health and well-being. He is the author of more than 150 papers in the fields of Reverse Engineering, Computational Geometry, CAD and Textile and Mechanical Engineering and Artificial Intelligence.
He is author of more than 200 publications in International Journals and Conferences.
Position
Associate Professor
Scientific Activities
Computational Geometry
Development of Artificial Vision Systems for industrial and Textile control.
Artificial Neural Networks
Colorimetry
Reverse Engineering and Rapid Prototyping
Virtual Restoration
Machine Vision
Computational Graphics
Reverse Engineering
Additive Manufacturing
Neural Networks
3D CAD and Reconstruction
