Wednesday, 3 July 2013
An Article by ECE Researchers selected for Spotlight on Optics
Dr. Michael Escuti
An article written by Drs. Michael Escuti, Jihwan Kim and Yanming Li has been selected for inclusion in "Spotlight on Optics".
Spotlight on Optics (Spotlight) features articles nominated by The Optical Society's (OSA) Topical and Associate Editors to show the breadth and quality of OSA content from six major technical divisions: Information Acquisitions, Processing, and Display; Light-Matter Interactions; Optical Design and Instrumentation; Optics in Biology; Optoelectronics; and Vision and Color.
"In this work," says Dr. Escuti, "we study a novel optical element that efficiently controls a quantum property of light, its orbital angular momentum (OAM). Among other applications, OAM is useful in studying and manipulating individual cells, molecules, and nanoparticles, as well as in high-capacity optical telecommunication systems. Our new optical element, called a Forked Polarization Grating ("FPG"), can easily change OAM with ~100% efficiency, replacing entire lab benches full of optics in a single thin film. In one configuration, FPGs can nonmechanically switch between various states with simple applied voltages. In another configuration, FPGs can generate and detect OAM states. In our work, we show for the first time that a thin liquid crystal layer, not unlike those in common LCDs, can experimentally realize all of the advantageous properties predicted theoretically, when holographically patterned to include the fork-shaped singularity."
Dr. Jihwan Kim
Dr. Escuti is an Associate Professor of Electrical and Computer Engineering at NC State University. Dr. Kim is a Post Doctoral Research Scholar in Electrical and Computer Engineering and Dr. Li is a Graduate Research Assistant.
Read the Abstract and Full Article.
ECE Researchers Receive DARPA Award for Research to build ultra low powered computers

Paul Franzon, Eric Rotenberg, Rhett Davis, James Tuck, Huiyang Zhou and Steven Lipa have been awarded $4,019,617 by the Defense Advanced Research Projects Agency (DARPA) for research on 3D-Enabled Customizable Embedded Computer.
The award will run from September 19th, 2012 to February 14th, 2018.
Research Abstract
The proposed effort will investigate new approaches to building ultra low power computers.
Monday, 1 July 2013
Researchers Obtaining 3D Footprints of Animals to identify, track and monitor their health
Namita Lokare, Wes Snyder & Edgar Lobaton (L to R)
Edgar Lobaton, Assistant Professor of Electrical and Computer Engineering at NC State University and Wesley Snyder, Professor of Electrical and Computer Engineering are working with graduate student Namita Lokare to obtain three-dimensional footprints of large animals for computer-based footprint recognition.
Namita Lokare just started her PhD in Electrical Engineering this fall but is already working with staff from a company named Wildtrack (www.wildtrack.org) which has developed a non-invasive Footprint Identification Technique (FIT). Animals have unique feet, in the same way that humans have unique fingerprints and this process can identify endangered animals at the species, individual, age-class and sex levels. This allows researchers to monitor their status and work with decision-makers in environmental and conservation sciences to implement effective policies.
Once researchers have identified and measured features on the footprint, statistical software provided by SAS completes the identification of the animal. WildTrack staff are actively working with SAS staff on this project. Their algorithm is quite accurate, but requires humans to analyze the footprints, and the process of individually identifying the features of the footprint is very time consuming.
In attempt to speed up the process, Lobaton, Snyder and Lokare are developing image analysis algorithms to automate the feature measurement process. In the past, the footprints have been obtained using conventional cameras. In this photograph, the NC State researchers are shown using a three-dimensional camera to measure both extent and depth of the footprints. The work, if successful, will help to more rapidly identify individual animals, track them, and lead to improvements in the monitoring of their health.