Beidi Chen is an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. She is a Visiting Research Scientist at FAIR, Meta. Before that, she was a ...

Monique holds a B.S. in Business Administration and an M.B.A.. Monique began her career in higher education at the Tepper School of Business, where she served a number of years in M.B.A. Admissions ...

I work in four broad areas: Speech recognition, Audio processing, Neural networks and Privacy/Security for voice processing. In audio processing, I work on noise ...

The Solid-State Circuits Society Distinguished Lecturer Program provides experts in the Society’s areas of interest to speak at chapter meetings and regional seminars.

Dr. Sossena Wood received her bachelor's of science in electrical engineering and her doctorate in bioengineering from the University of Pittsburgh. Her postdoctoral training was in Biomedical ...

ECE Information Technology Services (ITS) assists ECE faculty, staff and students with desktop computing support, oversees computing clusters for education and research, and offer a variety of ...

Carnegie Mellon’s Department of Electrical and Computer Engineering offers one undergraduate degree and two graduate degrees, the Master of Science and PhD. Included as part of these degree programs ...

Sarah H. Cen is currently a Postdoctoral Scholar at Stanford and an incoming Assistant Professor at CMU. At Stanford, Sarah's position is joint between the Department of Computer Science and the Law ...

The ECE Advisory Council comprises a group of highly accomplished individuals and industry leaders who meet annually to discuss the department's educational, research, and outreach activities. The ...

Virginia Smith's research interests include machine learning, optimization, and distributed systems. Prior to CMU, Virginia received a Ph.D. from UC Berkeley and undergraduate degrees from the ...

Research interests: computer vision, human activity forecasting, first-person vision, inverse reinforcement learning, deep learning, assistive technologies for the blind ...