Professore Associato di Tecnologie e Sistemi di Lavorazione, Scuola di Ingegneria, Università di Pisa; abilitato a professore ordinario (2018, 2014); Laurea in Ingegneria Aeronautica (Università di Pisa, 1992); Master in Management dell'Innovazione (Scuola S. Anna Pisa, 1993); Dottorato di ricerca in Automazione e Robotica Industriale (Università di Pisa, 1996); insegna 3 corsi di Tecnologia Meccanica I e II a 340+ studenti, è responsabile del Gruppo Nazionale Aitem Additive Manufacturing, che comprende 120+ docenti ed esperti; Direttore del Centro Interdipartimentale per l'Aggiornamento, la Formazione e Ricerca Educativa CAFRE, Università di Pisa, che comprende tutti i 20 Dipartimenti e 150+ docenti; Direttore del Master di 2^ livello in Valorizzazione delle Diversità Abilità e Educazione Inclusiva, Università di Pisa; Visiting Scholar presso MIT (2011, 2009, 2002, 2000), Stanford (2022, 2018, 2016, 2007, 2004, 1996), Tokyo (2006) e Visiting Professor presso University of Hawaii at Manoa (2022, 2007); Consulente GKN SpA, Breton SpA (licenziatario del suo brevetto di riflettometro), SVI SpA, Cumdi, Jaked, FMN Martinelli SpA, Panasonic Japan; 150+ articoli scientifici dal 1995, 49 indicizzati Scopus (h-index 17) su argomenti teorici, di modellazione e sperimentali legati alla produzione, tra cui Additive Manufacturing, Visione artificiale, Pianificazione / Scheduling e metrologia; ALAP-pisa.net (membro direttivo); comitato scientifico Distretto Tecnologico Interni e Design, SPS Italia

• CV:https://docs.google.com/document/d/1jfGxtNCFMsOKAz0kLF90Thwgl5OpIZwqUOuUZnp77qo/export?format=pdf

• LinkedIn: https://it.linkedin.com/in/lanzetta

• Contact: lanzetta@au-tomate.com | +39 320 4212172

Alessio Pacini is a Ph.D. student in Industrial Engineering at the Department of Civil and Industrial Engineering (DICI), University of Pisa, Italy. He holds an M.Sc. in Mechanical Engineering, with a thesis on innovative recycling of WC-Co grinding chips, conducted in collaboration with Cumdi s.r.l. Alessio has professional experience as a Mechanical Engineer at Eureka - Conti Valerio S.r.l. and Cutlite Penta (Florence, Italy), where he contributed to the design of coffee grinders and high-power laser cutting machinery. He has collaborated with international institutions such as KTH Royal Institute of Technology and participated in the Italia-USA NSF IRES 2024 project. His Ph.D. research focuses on Model-Based Definition and its application in Plug-and-Produce manufacturing systems, with an emphasis on low-code robotic assembly operations. His research interests include 3D modeling, computer vision, automation, system integration, and robotics. 

• CV: ttps://drive.google.com/file/d/1-lLfsONRUXVeeds5NpB63AO2NDiQIFTZ/view?usp=sharing

• LinkedIn: https://it.linkedin.com/in/alessio-pacini-2ab67921a

• Contact: pacini@au-tomate.com | +39 347 2753956

Born on February 9th, 1995 in Empoli (FI), Italy, Francesco Lupi received his undergraduate degree in Management/Industrial Engineering with honors (110/110) at the University of Pisa (PI), Italy, in 2017 and his graduate degree in Management/Industrial Engineering with honors (110/110) cum laude at the University of Pisa (PI), Italy in 2020. He is currently pursuing a Ph.D. in the Smart Industry program. He has authored national and international scientific papers with over 120 citations, and his current h-index in Scopus is 6. He is involved in several industrial research project in the Manufacturing domain. My PhD research project originated from the following research question: “How can we translate the well-known concept of reconfigurable and autonomous manufacturing, which has been explored in smart manufacturing over the last two decades, into the specific domain of Visual Inspection Systems (VIS)?”. In this context, the ultimate goal was to propose a new technological framework and open new business model avenues, such as configure-to-order, rather than the classical engineer-to-order solutions associated with monolithic and rigid VIS. These traditional approaches often necessitate high capital investments and substantial human intervention from both hardware and software perspectives to reprogram the VIS. The primary objective of my Ph.D career in its initial years was to study the current state-of-the-art of VIS, identify gaps in the existing landscape (e.g., outdated and highly customized yet rigid solutions not adaptable to variable production and more flexible demands), and leverage advancements in Industry 4.0 technology to establish a new wave of flexible VIS capable of handling variable production with minimal setup time and modular architecture, both in hardware and software, ultimately achieving reconfigurable VIS. As a further ambitious step during the final year, I endeavored to define a framework for more advanced VIS, termed autonomous, which retain and inherit the aforementioned features of flexibility and reconfigurability but are also capable of reasoning and making decisions autonomously regarding the selection of the best vision inspection algorithm and parameters, starting from annotated CAD models. This entails integrating CAD model design and inspection concurrently using the model-based definition (MBD) philosophy from the early product development stages. Concurrently, in line with the human-centricity emphasized in the latest Industry 5.0 concepts, I aim to incorporate concepts related to user graphical interface ergonomics and human decision-making or higher-value tasks into the loop of autonomous VIS and Plug and Production domain. This entails relieving humans from low-level coding tasks or manual handling of hardware components, now controlled numerically (e.g., cameras, lights), allowing operators to focus more on process optimization and supervision. 

• CV:https://drive.google.com/file/d/10rova2eoK6B3tnHdZxnB6FtQDkCN3WuV/view

• LinkedIn: https://it.linkedin.com/in/francesco-lupi-93b836148

• Contact: lupi@au-tomate.com | +39 3478530753