|Talks|

Knit Graphs, Knit Programming, KnitCAD: Building the Digital Infrastructure to go from Yarn to Meta-Materials

Visiting speaker
Hybrid
Past Talk
Megan Hofmann
Assistant Professor; Khoury College of Computer Sciences, Department of Mechanical Engineering in College of Engineering
Dec 6, 2024
2:00 pm
Dec 6, 2024
2:00 pm
In-person
4 Thomas More St
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Network Science Institute
2nd floor
Network Science Institute
11th floor
177 Huntington Ave
Boston, MA 02115
Network Science Institute
2nd floor
Room
58 St Katharine's Way
London E1W 1LP, UK

Talk recording

In this talk, I will introduce you to the complex world of automatic machine knitting. We will explore the under-utilized capabilities of industry knitting machines in factories worldwide that can produce reduced-waste garments, complex e-textiles, and innovative functional fabrics. We will then discuss why these capabilities rarely make it into the textiles that surround us in our daily lives—-it's a software problem. We will then explore our recent advances in the digital infrastructure of machine knitting: the development of knit graph data structures that model these complex textile structures; a novel programming language that makes introducing computational complexity into knitted structures trivial; and our emerging work on the next generation of computer-aided design (CAD) software for machine knitting.

About the speaker
Megan Hofmann is an Assistant Professor of Computer Science and Mechanical Engineering at the Khoury College of Computer Sciences at Northeastern University, where she directs the Accessible Creative Technologies (ACT) Lab. Megan is a leading accessibility and fabrication researcher. Her work on the emerging area of Medical Making, the application of digital fabrication in healthcare, has won multiple best-paper awards at ACM-CHI and Assets and the 2022 SIGCHI Outstanding Dissertation award. Additionally, she is a leader in the burgeoning field of Automatic Machine Knitting. Her work is funded with the support of the National Science Foundation. She received her PhD in Human-Computer Interaction from Carnegie Mellon University in 2022.
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Dec 06, 2024