The Department of Electrical Engineering

Researchers at Princeton University are developing technology that could lead to widespread wireless charging stations for all our electronics. This technology could also help build better sensors to monitor the health of both humans and buildings. The research was presented by students L. Huang, Y. Hu, W. Rieutort-Louis, and J. Sanz-Robinson (advised by Profs. Naveen

Prof. Paul Prucnal and David Rosenbluth, a neuroscientist and principle engineer at Lockheed Martin's Advance Technology Laboratory, in Cherry Hill, N.J have been working with Princeton undergraduate students since 2008 to produce fiber-optic-based computational devices that work similarly to neurons, but are a billion times faster. If the project is successful, the new technology could allow for computer circuits that are capable of making nearly instantaneous calculations in life-or-death situ

Netflix, YouTube, Hulu and Skype have become household names as demand soars for movies, television shows, amateur videos, and video calls delivered via the Internet and mobile networks. As a result, this enormous thirst for moving pixels is fast outpacing the capacity to supply video to viewers' screens. A team of Princeton researchers led by Mung Chiang, a professor of electrical engineering, is grappling with the problem by exploring ways to make global networks more efficient.

An ultrasensitive sensor has been invented by Prof. Chou and his group of researchers. The sensor, which relies on a completely new architecture and fabrication technology, gathers and amplifies Raman signals. These are wavelengths of light that can be used to identify substances. Photo by Stephen Chou.

Cloud computing is a disruptive trend that is changing the way we use computers, by providing elastic computing resources on demand. The convenience and cost savings of cloud computing unfortunately also come with serious security and privacy concerns. Professor Ruby Lee and her students in the Princeton Architecture Lab for Multimedia and Security (PALMS) study hardware-enhanced security for cloud computing.