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# Display name | ||
title: EBUGS (Engineering Biology for Underwater and Ground Sensors) | ||
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#Use 1 for PI, 100 for Current Postdocs, 200 for current phds, 300 for current masters, 400 for current undergrads, 800 for alum postdocs, 810 for alum phds, 820 for alum masters, and 830 for alum undergrads, 900 for tools, 1000 for projects, 900 for tools, 1000 for projects | ||
weight: 1000 | ||
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# Username (this should match the folder name) | ||
authors: | ||
- EBUGS | ||
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# Is this the primary user of the site? | ||
superuser: false | ||
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# Organizations/Affiliations | ||
organizations: | ||
- name: Genetic Design Automation | ||
url: "" | ||
#- name: Formal Verification of Cyber-Physical Systems | ||
# url: "" | ||
#- name: Asynchronous Circuit Design and Verification | ||
# url: "" | ||
#- name: Analog Circuit Design and Verification | ||
# url: "" | ||
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# Short bio (displayed in user profile at end of posts) | ||
# bio: My research interests include distributed robotics, mobile computing and programmable matter. | ||
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department: | ||
- Computer Science | ||
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# Social/Academic Networking | ||
# For available icons, see: https://sourcethemes.com/academic/docs/page-builder/#icons | ||
# For an email link, use "fas" icon pack, "envelope" icon, and a link in the | ||
# form "mailto:[email protected]" or "#contact" for contact widget. | ||
social: | ||
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# Link to a PDF of your resume/CV from the About widget. | ||
# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. | ||
# - icon: cv | ||
# icon_pack: ai | ||
# link: files/cv.pdf | ||
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# Enter email to display Gravatar (if Gravatar enabled in Config) | ||
email: "" | ||
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# Organizational groups that you belong to (for People widget) | ||
# Set this to `[]` or comment out if you are not using People widget. | ||
user_groups: | ||
- Projects | ||
- EBUGS Project | ||
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In response to DARPA’s BAA Tellus, the Draper Team, including partners from Boston University, MIT, NC State, Raytheon BBN, and CU Boulder, proposes EBUGS to revolutionize environmental monitoring. EBUGS aims to develop a software-guided methodology for rapidly designing, building, and validating microbial sensors capable of multiplex detection in complex environments. Unlike current hardware-based and manual sample collection methods, EBUGS leverages engineered microorganisms to sense and process multiple stimuli, producing diverse outputs beyond traditional fluorescent signals. The project introduces innovative approaches such as an end-to-end software tool for predicting genetic circuit performance, next-generation remote sensing for signal transduction, and DNA barcoding for recording sensing events, significantly advancing the state-of-the-art in microbial sensor technology. |