Research

A unifying theme of Duke's Department of Electrical and Computer Engineering (ECE) is its interdisciplinary nature, characterized by significant funded research programs that actively engage Duke faculty from across Pratt, the applied sciences and medicine. The interdisciplinary nature of Duke ECE is well aligned with the increasing international trend toward a breakdown of traditional disciplinary boundaries; such an interdisciplinary focus has also been widely encouraged by industry and government. Our department has four primary research areas.

Signal and Information Processing

A particular strength is in the area of signal and information processing (SIP), embodied by successful collaborations between ECE, statistics and applied mathematics. Duke has long been a leader in SIP research with defense applications, and there has also been a significant expansion into biomedical applications, in collaboration with the Duke University Medical Center.

Computer Engineering

Computer engineering plays a critical role in enhancing the computing power of modern systems, impacting all areas of engineering, science and commerce. Duke ECE has played a leading role in developing new classes of computing architectures and systems, particularly with a highly successful core of young faculty. The computer engineering group in ECE has led development of significantly enhanced collaboration between ECE and computer science at Duke.

Engineering Physics

Duke ECE is also the home of international leaders in information physics research, embodied in pathbreaking programs in metamaterials, quantum devices, and optical systems. This interdisciplinary research involves the design, fabrication and testing of revolutionary new devices, based on novel physical concepts, with a foundation in rigorous computational modeling in electromagnetics and quantum mechanics.

Microelectronics, Photonics, and Nanotechnology

The fourth research area, microelectronics, photonics and nanotechnology (MPN), is highly vertically integrated, ranging from innovative materials, devices, and interconnects, through chip scale integrated systems. MPN research includes revolutionary microfluidic systems, nanoelectronics, optoelectronics, integrated optics, sensors, integrated multifunctional systems, energy conversion devices, and quantum sensors. The MPN research is highly interdisciplinary, and focused on design, fabrication through Duke’s Shared Materials Instrumentation Facility (SMIF) cleanroom and characterization facility, and device and system test.

April 14, 2016
A modern twist on an old technology could soon help detect rogue methane leaks, hidden explosives and much more. A Duke University team is using software to dramatically improve the performance of chemical-sniffing mass spectrometers. Conventional mass spectrometers separate compounds by giving...
February 24, 2016
Maiken H. Mikkelsen, the Nortel Networks Assistant Professor of Electrical and Computer Engineering and assistant professor of physics at Duke University, has been named a 2016 Cottrell Scholar in physics by the Research Corporation for Science Advancement (RCSA).
February 11, 2016
In a building full of advanced photonics research, the laboratory of Jungsang Kim just might have the most complicated optical setups. After all, not many engineering challenges involve controlling the frequency of a laser to within a millionth of a percent.
February 10, 2016
Researchers at Duke University can use photons instead of electrons to store data, drastically increasing the storage capacity of the optical analog of Blu-Ray discs. So what are your top 5,000 movies?
January 21, 2016
Four Pratt-affiliated faculty members made the cut for Thomson Reuter’s “Highly Cited Researchers 2015.” They are David Smith and Ingrid Daubechies of the electrical and computer engineering department and Heather Stapleton and Mark Wiesner of the civil and environmental engineering department.
January 06, 2016
A team of researchers led by Duke University and the University of Maryland have been tapped by the nation’s own “Q Branch” to take quantum computing efforts to the next level using one of the field’s leading technologies—ion traps.