SARIMEHMETOGLU
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Retro-fitting
Yığın (Leftover)
The Alphabet Song
Plotted Leftovers
Knitting
Human Knitting Installation II
CNC Knitting Installation
Human Knitting Installation I
Finger Knitting
Fabric Computing
Robotics
3DGS + Robotics
Verdant Urban
Overprinting
Design for Additive Manufacturing
Cavity Slab
3DGS Slab
Hybrid Computing
Light Leak
Omnifab
Precise Fit
ML as an Instrument
Unrehearsed Compositions
Computational Narratives
Involuntary Shifts
Homage to Erwin Hauer
Sound Installation #1
ZAP!
Machine perception
Counteralgorithms II
Counteralgorithms I
Movement on film
Sequences
Perceived Space
Exhibition Design
Architecture is Art
Space-making
The Interface
Intrastructure
Regenerating a Flux
ULUSKULTUR
Common Ground
MNMTI
2019 - Current
Personal exploration
Machine Learning Applications of Leftover Materials in Digital Fabrication
coming soon...
Leftover Project, is a personal construct created by Ilkyaz Sarimehmetoglu to investigate material waste as a potential source for retro-fitting. It tries to understand different clusters of materials such as additive manufacturing supports or scaffholdings, subtractive manufacturing leftovers, unused fibrous deconstructions and categorize them for possible repurposing and retrofitting. Sometimes the leftovers are realized as editorials with visual computing, sometimes as geometric boundaries for volume fits and sometimes representative samples of material properties. All features in relation, the project tries to recycle and repurpose according to new functionalities.
Machine learning processes help distinguish samples from one another through image recognitions, sorting and pairing with scenarios to be matched.