Fellow Projects

by: Robert Ansel
DevilPrint is a way to print documents from your smarthphone on the Duke OIT printer network. Learn more: Check out the presentation. Watch the video.
by: Mitchel Gorecki
Concept Spatial models can be integrated into purchasing decisions for real-time online ad exchanges to improve performance. The country is divided into 52,000 neighborhoods, or Digital Zips, used for geo targeting where ads are bought based on desired neighborhoodattributes. Neighborhoods behave in predictable ways that can be exploited using observed performances. 
by: Catherine Joseph
This project studies the energy consumption behavior of students living in Duke University residences.  The study includes both the collection of energy consumption data about Duke student residences and a study of changes in user behavior with respect to energy consumption. The second study will  be administered by collecting baseline data, giving the residents feedback about their consumption behaviors and ways in which to improve.
by: Vansh Muttreja
The recent increase in the proliferation and processing power of smartphones has opened up the opportunities to create exciting new applications. The newest components that modern smartphones are becoming equipped with are pico-projectors.
by: Oriana Wen
Oriana Wen, a double major in biomedical engineering and electrical and computer engineering, said she didn’t realize the full potential of cell phones until last year, when she worked on the Mobile Lighting Controls Team of the Smart Home.
by: Yink Teo
It is now conveniently commonplace for homes and cafés to have wireless Internet. But, how about tables that transmit power wirelessly to laptop computers, mobile phones and other electronic devices?
by: Sabrina Liao
Duke’s Sabrina Liao, a junior majoring in electrical and computer engineering with a minor in German, is leading a project to take traditional sensor data such as energy and water usage and provide the output as sound.
by: Ben Hammer
The central theme of Smart Home Fellow Ben Hamner’s project is signal processing: integrating information from sensors, appropriately processing this information, and then acting on this information.