Publication Date
Spring 5-15-2025
Document Type
Dissertation/Thesis
First Advisor
Obermeier, Jamie
Second Advisor
Buck, Todd
Third Advisor
VanValkenburg, Amanda
Degree Name
M.F.A. (Master of Fine Arts)
Department
School of Art and Design
Disciplines
Metal and Jewelry Arts
Abstract
This dissertation explores the intersection of algorithmic jewelry design, digital fabrication, and cultural memory. By integrating parametric modeling software such as Rhino and Grasshopper with traditional lost-wax casting methods, this research creates a dialogue between historical Persian geometric patterns and contemporary wearable art. Through this hybrid approach, the work contributes to contemporary jewelry discourse, demonstrating how ancient motifs can be algorithmically reinterpreted into innovative, culturally resonant forms. The practice engages directly with themes of identity, heritage, and technological innovation, referencing the approaches of contemporary artist-jewelers like Giovanni Corvaja, Nora Fok, David Huycke, and Dries Verbruggen. Results include unique collections of digitally generated yet individually distinct pieces, showcasing the potential of parametric design to produce personalized wearable objects. This methodology provides a practical framework for jewelry designers to balance creative exploration with market viability, underscoring digital tools' expressive potential within craft traditions. This work advances discussions within contemporary art jewelry, demonstrating how digital fabrication can extend the expressive vocabulary of jewelry design and expand opportunities for creative practice.
Recommended Citation
Motallebi, Shahrzad, "CODE to CAST" (2025). Graduate Artistry Projects and Performances. 16.
https://huskiecommons.lib.niu.edu/allgraduate-artistry/16