[vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”44″ overlay_strength=”0.3″][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/6″ tablet_text_alignment=”default” phone_text_alignment=”default”]
[vc_column_text]

Research Assistant
Automated Design Lab
2007-2008

[/vc_column_text][/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”2/3″ tablet_text_alignment=”default” phone_text_alignment=”default”]
[vc_column_text]

2007-2008

[/vc_column_text][/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/6″ tablet_text_alignment=”default” phone_text_alignment=”default”][vc_row_inner text_align=”left”][vc_column_inner column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ width=”1/1″]
[/vc_column_inner][/vc_row_inner]
[vc_column_text]

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.

[/vc_column_text][/vc_column][/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/3″ tablet_text_alignment=”default” phone_text_alignment=”default”]
[/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/3″ tablet_text_alignment=”default” phone_text_alignment=”default”]
[/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/3″ tablet_text_alignment=”default” phone_text_alignment=”default”]
[/vc_column][/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/4″ tablet_text_alignment=”default” phone_text_alignment=”default”][/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/2″ tablet_text_alignment=”default” phone_text_alignment=”default”]
[/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/4″ tablet_text_alignment=”default” phone_text_alignment=”default”][/vc_column][/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”88″ overlay_strength=”0.3″][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/1″ tablet_text_alignment=”default” phone_text_alignment=”default”]

AI: Designer Preference Model: Rule Knowledge Method

[vc_column_text]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.[/vc_column_text]
[vc_gallery type=”flexslider_style” images=”3094,3106,3107,3108,3110,3109,3112,3113,3114,3115,3116,3117,3118,3119,3120,3121,3122,3123,3124,3125,3126,3127,3128,3129,3130″ onclick=”link_image” img_size=”960×720″ css=”.vc_custom_1497756133670{padding-right: 10px !important;padding-left: 10px !important;}”][/vc_column][/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”22″ overlay_strength=”0.3″][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/1″ tablet_text_alignment=”default” phone_text_alignment=”default”]

Reverse Engineering: Sharper Image, Hybrid Shake Faraday Flashlight

[vc_gallery type=”image_grid” images=”3099,3100,3102″ layout=”4″ gallery_style=”3″ load_in_animation=”none” img_size=”960×720″][/vc_column][/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”22″ overlay_strength=”0.3″][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ width=”1/1″ tablet_text_alignment=”default” phone_text_alignment=”default”]

Reverse Engineering: Freeplay Hand-Crank, Solar Powered Radio

[vc_gallery type=”image_grid” images=”3185,3104,3105″ layout=”4″ gallery_style=”3″ load_in_animation=”none” img_size=”960×720″][/vc_column][/vc_row]