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.

Read the Full Announcement
A landmark $57 million commitment from the Lamond family has named the Pierre R. Lamond Department of Electrical and Computer Engineering at Duke’s Pratt School of Engineering. The gift establishes the prestigious Pierre R. Lamond Presidential Distinguished Chair in Electrical and Computer Engineering, supporting groundbreaking research in semiconductors, nanoelectronics, advanced computing, and next-generation technologies. With advanced computing and AI hardware now essential to national competitiveness, this investment strengthens Duke’s ability to attract world-class faculty, fund Ph.D. fellowships, expand student opportunities, and accelerate innovation in computing technologies. The funding is part of MADE FOR THIS: The Duke Campaign, the university’s most ambitious fundraising initiative to date, helping fuel Duke’s rapid rise in research excellence and national prominence in engineering.Watch the video and discover how this historic gift honors semiconductor pioneer Pierre Lamond and helps shape the next era of computing innovation.Learn more about the gift: https://pratt.duke.edu/news/lamond-ece/#Engineering #AI #Semiconductors #FutureOfTech #STEM𝐀𝐛𝐨𝐮𝐭 𝐃𝐮𝐤𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲Established in 1924 in Durham, North Carolina, Duke University is one of the world’s leading institutions for education, research, and patient care.Subscribe ➡️ https://www.youtube.com/@dukeuniversity 𝐅𝐨𝐥𝐥𝐨𝐰 #𝐃𝐮𝐤𝐞𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲Home: https://duke.edu/News: https://today.duke.edu/X (Formerly Twitter): @DukeUInstagram: @dukeuniversityFacebook: @dukeunivLinkedIn: @DukeUniversityMB01RJ1GXZDH3NEMB01EU4LEDUTVKSMB01FHUVSVZ7QZ4
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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.

Yiran Chen of Duke University
Brain-Inspired Computer Architectures
Tania Roy
Taming AI’s Energy Appetite
Haozhe Harry Wang
Atomic-Scale Semiconductor Manufacturing
Aaron Franklin
Nanomaterials-Driven Electronics Beyond Conventional Silicon
Hai Helen Li
Specialized Computer Architectures for Efficient AI 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.

Patrick Pensabene, MEng '14, shares his experience in the Master of Engineering (MEng) in Electrical and Computer Engineering (ECE) program at Duke University. A rigorous curriculum plus supportive faculty with industry connections opened the path to the exact career he wanted in high-performance computing.Learn more about Duke ECE’s master's programs: https://ece.duke.edu/admissions/masters/
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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.

Explore Your Options
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Computer Hardware Engineering

Gain expertise in new, resilient hardware architectures for emerging platforms ranging from major data centers to personal mobile devices.

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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.

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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.

Close-up of a silicon wafer, an example of the tools explored in Duke’s master’s programs

Semiconductor Technology

Learn under international leaders in nanoelectronics, optoelectronics, microfluidic systems, integrated optics, sensors, integrated multifunctional devices/systems, energy conversion devices, and quantum sensors.

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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.

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