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.
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.
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.
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.
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.
Gain expertise in new, resilient hardware architectures for emerging platforms ranging from major data centers to personal mobile devices.
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.
Develop expertise in quantum algorithms and information systems while learning the design, fabrication, and testing of next-generation quantum devices and architectures.
Learn under international leaders in nanoelectronics, optoelectronics, microfluidic systems, integrated optics, sensors, integrated multifunctional devices/systems, energy conversion devices, and quantum sensors.
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.
The five-year renewal will focus on developing an AI-native edge stack that supports autonomous interaction among users, agents and the physical environment, integrated with national-priority technologies such as quantum computing.
Sep 18
Organized by the SWS in STEM and Staff of the Rhodes Information Initiative. With support from the Office of Faculty Advancement, we continue our mission of promoting fellowship and scientific […]
12:30 pm – 12:30 pm Gross Hall, Ahmadieh Family Grand Hall, Room 330
Sep 21
Please RSVP here: https://duke.kualibuild.com/app/6a6a085327a10f029e5f0530/start The goal of the Justice in AI PopUp Institute is to bring together disparate groups on campus whose work is relevant to justice in AI and […]
12:30 pm – 12:30 pm Gross Hall, Ahmadieh Family Grand Hall, Room 330
Sep 22
Learning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and […]
12:00 pm – 12:00 pm Gross Hall, Ahmadieh Family Grand Hall, Room 330
