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Vincenzo Ferrero (Fed)

Mechanical Engineer Researcher

Vincenzo Ferrero received his Ph.D. in from the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University. Currently, he is a researcher at the National Institute of Standards and Technology (NIST). His research addresses strategies toward data-driven product design, applied data knowledge synthesis, and data-driven fulfillment of Design-for-X objectives. His research aims to enhance design and manufacturing approaches with machine learning and data mining methods, with a particular interest in bridging Digital Twins and Circular Economy concepts. His background in data knowledge navigation, life cycle engineering, and machine learning has motivated collaborations across topics including data-driven CAD, assembly-function knowledge graphs and algorithms, automated functional modeling, and sustainable design tool development.


  • 2021 IDETC-DAC Paper of Distinction


STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing

Fahad Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo Ferrero, Laetitia Monnier, Matthew Brown
Powder bed fusion (PBF) is an additive manufacturing (AM) technology that uses high-power beams to fuse powder material into layers of scanned patterns, thus
Created June 25, 2021, Updated December 9, 2022