Research Assistant
Automated Design Lab
2007-2008

2007-2008

Contributed to graduate research in Automated Conceptual Design. Developed a computational theory by combining empirical reverse engineering techniques and graph-grammar-based methods to automate conceptual design of electromechanical systems.

AI: Designer Preference Model: Rule Knowledge Method

Developed a computational theory to automate the conceptual design of electromechanical systems by combining empirical reverse engineering techniques and graph-grammar-based programming methods. In lay terms, the idea is to utilize computational theory to aid Engineeers in the concept generation process by providing the user¬†with Candidate Design Concepts for constructing an electromechanical system to achieve the user’s design intent, aka the intended functionality of the given product.

Reverse Engineering: Sharper Image, Hybrid Shake Faraday Flashlight

Reverse Engineering: Freeplay Hand-Crank, Solar Powered Radio