Study Finds Next-Generation Transistor Performance Inflated in Most Lab Testing
Duke engineers show how a common device architecture used to test 2D transistors overstates up to sixfold their performance prospects in real-world devices.
A $57 Million Landmark Investment for Duke ECE
Duke has long been home to innovators and leading experts in transformative fields like metamaterials, machine learning and artificial intelligence, and quantum computing. With the historic naming of the Department of Electrical and Computer Engineering in recognition of Pierre R. Lamond, Duke is poised to deepen and expand its work in semiconductors, nanoelectronics, and computer engineering—fields increasingly shaping how we live in a smarter society.
A Transformational Moment
Since 1957, Pierre R. Lamond has been at the forefront of the semiconductor revolution. Now, he and his family have looked to Duke to continue that legacy by providing the foundation of a $57 million investment in computing.
Semiconductor Game Changers
Building on Duke’s legacy in high-performance computing and distributed systems, we bring together world-class teams in neuromorphic computing, cloud infrastructures, and AI-enabled hardware.
How Duke ECE Master’s Jumpstarted My Career
Patrick Pensabene shares his experience in the Master of Engineering (MEng) program at Duke ECE. A rigorous curriculum plus supportive faculty with industry connections opened the path to the exact career he wanted in high-performance computing.
Master the Technologies of Tomorrow
We stand at a historic inflection point with AI breakthroughs, quantum computing, and next-generation hardware on the horizon. No matter your technology of choice or career goals, Duke ECE’s Masters programs have a study track to help you excel.
Computer Hardware Engineering
Gain expertise in new, resilient hardware architectures for emerging platforms ranging from major data centers to personal mobile devices.
Software Engineering
Build strong foundations in programming, computer architecture, and large-scale systems while developing the skills to design and maintain software that powers modern computing platforms.
Quantum Software & Hardware
Develop expertise in quantum algorithms and information systems while learning the design, fabrication, and testing of next-generation quantum devices and architectures.
Semiconductor Technology
Learn under international leaders in nanoelectronics, optoelectronics, microfluidic systems, integrated optics, sensors, integrated multifunctional devices/systems, energy conversion devices, and quantum sensors.
Machine Learning & Artificial Intelligence
Develop deep expertise in the mathematical foundations of ML and AI while gaining the practical skills needed to design and deploy AI systems that scale in real-world environments.
Latest Duke ECE News
Upcoming Events
Mar 18
Pop-Up Mini Course: Selected Topics in Quantum Algorithms and Complexity
Mathematics professor Di Fang will lead this short course on quantum algorithms as part of the Information Initiative’s Pop-Up Mini course series. For more information about our Pop-Up Courses and […]
Gross Hall, Ahmadieh Family Grand Hall, Room 330
Mar 18
DMI/CMH/OEP Seminar Presented by Joe Croteau
Abstract: Vulcan Elements has established a full supply chain to manufacture rare earth permanent magnets in the United States. This includes a network of raw material suppliers, equipment manufacturers, and […]
12:00 pm – 12:00 pm Fitzpatrick Center Schiciano Auditorium Side A, room 1464
Mar 18
Security and Privacy of Edge AI Models in Social Media Applications
The NSF AI Institute for Edge Computing (Athena) is pleased to present the next in the Seminar Series by Jack West, titled “Security and Privacy of Edge AI Models in […]
1:00 pm – 1:00 pm