Electrical and Computer Engineering

News headlines

May 13, 2008

Turning Gestures into Speech

Four ECE students have invented a sensor-equipped glove that can translate gestures into spoken words on a cell phone. Called HandTalk, the project was developed this spring as part of the Embedded Systems Design capstone course taught by Professor Priya Narasimhan. ECE seniors Bhargav Bhat, Jorge Meza and Hemant Sikaria, and an ECE graduate student, Wesley Jin, ran with the idea, resulting in a practical research prototype.

April 25, 2008

C2S2 Circuits Center Review Draw Over 100 Attendees

The FCRP Center for Circuit & System Solutions (C2S2), headed by ECE Professor Rob Rutenbar, held its 2008 annual review April 17-18 in Pittsburgh. The review drew over 130 attendees from across U.S. universities, industrial and government sponsors. C2S2 is a consortium of 19 U.S. schools, 50 faculty and roughly 100 students, sponsored by the U.S. semiconductor industry and Department of Defense (DOD). Carnegie Mellon is the lead university for the C2S2 center.

AsSadhan selected as a King Abdullah Scholar

ECE graduate student Basil AsSadhan was selected as a King Abdullah Scholar with the King Abdullah University of Science and Technology. An award ceremony was held on April 5th in Washington, DC to award AsSadhan and 16 other PhD students in the U.S. and Europe. AsSadhan is an advisee of ECE Professor José Moura.

April 24, 2008

ECE Alumnus Promoted to Senior Principal Research Engineer

ECE alumnus Ram K. Krishnamurthy (Ph.D. 1998) has recently been promoted to Senior Principal Research Engineer at Intel Corporation's Corporate Technology Group in Hillsboro, OR. As a graduate student at Carnegie Mellon, Krishnamurthy was advised by Professor Rick Carley.

April 14, 2008

Gallagher and Chen win Best Paper Award at Computer Vision Conference

ECE graduate student Andrew Gallagher and Professor Tsuhan Chen won a Best Paper Award at the 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Semantic Learning Applications in Multimedia (SLAM). The paper, titled "Using Group Prior to Identify People in Consumer Images" describes a method for recognizing people in consumer images using more than just facial appearance.