Computational Textiles & Soft Systems
Building machine-knit interfaces and the pipelines that make them reproducible.
Designing knit micro-geometry and material routing to produce reliable sensing and thermal behavior, with a focus on closed-loop control and versioned fabrication.
- Textile Structure and Behavior: Knit design for reliable sensing and thermal performance.
- Closed-Loop Systems: Coupling textile heaters/sensors with PID control theory.
- Fabrication as Software: Reproducible, code-driven manufacturing pipelines.
- procedural-zelij-jacquard-knitting: Procedural generation of Moroccan Zelij patterns for tubular jacquard machine knitting.
- thermal-wearables-pid-control: Real-time PID control system for machine-knit thermal wearables.
- knitted-soft-sensor: Low-level control of machine-knit soft robotic sensors.
- mycelium-knit-modules: Modular machine-knit structures for bio-architectural mycelium pillows.
- mips-simulator: MIPS architecture simulator developed in C.
- tic-tac-toe-ai: Reinforcement learning agent implemented in Standard ML.
- sml-text-classifier: Naive Bayes classification system utilizing MapReduce patterns.
- happiness-analysis: Statistical and ML evaluation of the World Happiness Report.
Languages: Python, Knitout, C/C++, Standard ML, JavaScript (ES6+), Java, SQL, R
Technologies: PID Control, Embedded Systems (Arduino/RPi), OpenCV, Scikit-Learn, Pandas, Node.js, React