Chae is solving the problem by utilizing nature's "smart system." His protein sensor does not use these probes, yet it has high selectivity. His probeless biosensor is packaged in a way that makes it resistant to environmental changes such as temperature, humidity and vibration, which degrade the sensor's performance.
Chae's Career award grant (about $400,000) also will fund education programs on his research designed for K-12 students and teachers, as well as for college students and groups underrepresented in science and engineering, including women.
Unlocking the Internet's deep well of data
Yi Chen wants to improve the accessibility of Internet data for search engine users. Internet users employ Google to access millions of HTML documents on the web. In addition to this easily searched information, Chen says, there is a "hidden web," that includes high-quality research, travel, commerce and manufacturing data stored in databases not easily accessed by search engines such as Google.
"All of this information is there and oftentimes it has much higher-quality information, but it is not readily available because it is not in HTML," Chen says. "My work will allow people to search these databases easily using simple keywords."
The NSF cites Chen's work as a potentially transformative advance because it would allow the user to cut across the boundaries between information that is stored in distinctly different modes, and it would overcome some of the problems associated with traditional databases and methods of information retrieval.
Databases typically store highly organized raw data optimized for efficie
|Contact: Skip Derra|
Arizona State University