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Free University of Bozen-Bolzano

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Tenured full professors | Production Systems  | Industry 4.0/5.0

Dominik Matt

Dominik.Matt@unibz.it

+39 0471 017110

Faculty of Engineering


Links

Curriculum Vitae

Personal Website

All publications

Short bio

Prof. Dr.-Ing. Dominik Matt holds the Chair for Production Systems and Technologies (IIND-04/A) and heads the research department "Industrial Engineering & Automation (IEA)" at the Faculty of Engineering of the Free University of Bozen-Bolzano. Moreover, Prof. Matt is the Director of the Fraunhofer Italia Research Center in Bolzano. He has authored more than 350 scientific and technical papers and is listed among the most cited professors as well as among the 2% top scientists for long career-impact in their specific fields (elsevier.digitalcommonsdata.com, 08/2024). Prof. Matt is member of numerous national and international scientific organizations and committees. Since 2020 Prof. Matt is also member of the renowned German National Academy of Science and Engineering (www.acatech.de).

Courses

Innovation management and sustainable production

42190A · ING-IND/16 · Bachelor in Industrial and Mechanical Engineering · DE

Production Systems and Industrial Logistics

42108 · ING-IND/16 · Bachelor in Industrial and Mechanical Engineering · DE

Main Research Areas

Prof. Matt's research focuses on the areas of Industry 4.0/5.0 and Smart and Green Factory, the application of Artificial Intelligence in industrial production, Lean Production, as well as the planning and optimization of assembly systems and internal logistics.

Info

The third-party funding coordinated by Prof. Matt at UniBZ & Fraunhofer Italia amounts to > 2 Mio.€/a.

Selected publications

Adigun, J.G., Camilli, M., Felderer, M., Giusti, A., Matt, D.T., Perini, A., Russo, B., Susi, A. (2022), Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks, Computer, 55 (3), pp. 52-63.
Gagliardo, A., Garbin, S., Terzer, M., Matt, D.T., Giusti, A. (2024), A BIM-Integrated Robotics Application for Color Spraying in Construction, Lecture Notes in Civil Engineering, 390 LNCE, pp. 194-200.
Siegele, D., Emig, J., Slongo, C., Matt, D.T. (2024), Advancing Construction Efficiency Through Collaborative Robotics: A Scalable Multi-agent-Based Logistics Solution, Lecture Notes in Civil Engineering, 390 LNCE, pp. 176-183.
Di Blasio, I., Emig, J., Niederwieser, E., Siegele, D., Matt, D.T. (2023), Extended Reality Product Configuration for Flexible Production Systems: A Case Study, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligenc
Braholli, O., Ataide, M., Emig, J., Di Blasio, I., Niederwieser, E., Siegele, D., Matt, D.T. (2023), Design and Development of a Dynamic Fire Signage System for Building Evacuation: A VR Simulation Study, Lecture Notes in Computer Science (including subse
Mismetti, M., Appleton, S., Rondi, E., Orzes, G., De Massis, A., Matt, D.T. (2023), Interdisciplinary Research Projects: Six Lessons from a Family Business-Industry 4.0 Project, Lecture Notes in Networks and Systems, 745 LNNS, pp. 274-285.
Holzner, M., Rauch, E., Orzes, G., Matt, D.T. (2023), A CANVAS Based Assessment Model to Evaluate SMEs Readiness for Digital Business Models, Lecture Notes in Mechanical Engineering, pp. 36-49.
Matt, D.T., Pedrini, G., Bonfanti, A., Orzes, G. (2023), Industrial digitalization. A systematic literature review and research agenda, European Management Journal, 41 (1), pp. 47-78.
Rauch, E., Rofner, M., Cappellini, C., Matt, D.T. (2022), Towards Sustainable Manufacturing: A Case Study for Sustainable Packaging Redesign, Lecture Notes in Mechanical Engineering, pp. 84-93.
Appleton, S.W., Beltrami, M., Mismetti, M., Orzes, G., De Massis, A., Matt, D.T. (2022), Industry 4.0 in Family Firms, Lecture Notes in Networks and Systems, 525 LNNS, pp. 177-188.
Mark, B.G., De Marchi, M., Rauch, E., Matt, D.T. (2022), Expert-based Classification of Worker Assistance Systems in Manufacturing Considering the Human, IN4PL 2022 - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Pro
De Marchi, M., Rojas, R.A., Mark, B.G., Aruväli, T., Rauch, E., Matt, D.T. (2022), Digital Twin Architecture of a Cyber-physical Assembly Transfer System, IN4PL 2022 - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Pr
Horvath, M., De Marchi, M., Rauch, E., Matt, D.T. (2022), Application of an Industry 4.0 Assessment Model: A Case Study Application in Material Supply for Assembly, IN4PL 2022 - Proceedings of the 3rd International Conference on Innovative Intelligent Ind
Di Blasio, I., Penna, P., Monizza, G.P., Riedl, M., Matt, D.T. (2022), BIMobility Simulator as a BIM-based solution for integration of e-mobility in design process, IOP Conference Series: Earth and Environmental Science, 1122 (1), art. no. 012035.
Slongo, C., Malacarne, G., Matt, D.T. (2022), The ifc file format as a means of integrating bim and gis: The case of the management and maintenance of underground networks, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Science
Barbini, A., Malacarne, G., Massari, G.A., Matt, D.T. (2022), Environmental impacts visualization through open BIM procedures [Visualizzazione di impatti ambientali tramite procedure open BIM], TECHNE, 23, pp. 240-249.
Matt, D.T., Pedrini, G., Bonfanti, A., Orzes, G. (2022), Industrial digitalization. A systematic literature review and research agenda, European Management Journal
Mark, B.G., Rauch, E., Matt, D.T. (2022), Systematic selection methodology for worker assistance systems in manufacturing, Computers and Industrial Engineering, 166, art. no. 107982
Bataleblu, A.A., Rauch, E., Cochran, D.S., Matt, D.T. (2024), Impact of European Sustainability Reporting Standards Guidelines on the Design of Sustainable Factories and Manufacturing Systems, Lecture Notes in Mechanical Engineering, pp. 237-253.
Atarisharghi, E., Bataleblu, A.A., Emer, A., Golser, M., Rauch, E., Matt, D.T. (2024), Application of Life Cycle Assessment (LCA) in the Fast-Moving Consumer Goods Sector, Lecture Notes in Mechanical Engineering, pp. 254-268.
Rauch, E., Bataleblu, A.A., Golser, M., Emer, A., Matt, D.T. (2024), Potential of Graph Database Visualization of the Supplier Network to Increase Resilience in Multi-tier Supply Chains, Lecture Notes in Mechanical Engineering, pp. 125-139.
Aruväli, T., De Marchi, M., Rauch, E., Matt, D. Design Decomposition for Cyber Resiliency in Cyber-Physical Production Systems (2024) Lecture Notes in Networks and Systems, 849 LNNS, pp. 3-14.

Relevant Links

Fraunhofer Italia Research
Smart Mini Factory Lab
WGAB - Academic Society for Work and Industrial Organization
AITeM - Associazione Italiana di Tecnologia Meccanica
acatech - National Academy of Science and Engineering