Air Force Pilot Studies Flying Moths to Inspire Next Generation Technology
ECE graduate student Matthew LaRosa is using machine learning and generative AI to understand strategies for making rapid decisions in complex environments.
Duke’s Electrical and Computer Engineering research enables creative, applicable solutions to pressing challenges in human health, security, and automation, and new strides in fundamental scientific exploration and discovery. Government and industry organizations are valuable partners at Duke ECE, and our entrepreneurial spirit manifests itself in a growing portfolio of companies spun off from our research.
Our faculty are nationally and internationally recognized for research in areas including:
We have built a team of internationally recognized experts in artificial intelligence and machine learning—in fact, Duke ECE is said to be among the world’s top universities in AI/ML research.
Our faculty members demonstrated the world’s first negative refractive index metamaterial in 2000, and in 2006 a Duke ECE engineer invented a metamaterial “invisibility cloak” that renders objects undetectable at microwave frequencies.
Our internationally recognized quantum computing team—part of the Duke Quantum Center—is replacing the bits of traditional computers with trapped ion qubits, which exist in multiple states at once.
We are working to create self-assembling electronic devices, and exploring the potential of novel electronic materials to enable next-generation transistors, neuromorphic computing, solar cells, photodetectors, and more.
We’re developing novel approaches to gathering and analyzing information to make our world safer and more secure, and healthcare applications faster and more efficient.
Close collaborations with industry and government partners drive our work to secure systems in the Cloud, on the ground and in the air.
ECE graduate student Matthew LaRosa is using machine learning and generative AI to understand strategies for making rapid decisions in complex environments.
A new curriculum in the master’s program in Electrical and Computer Engineering’s Machine Learning and Big Data study track will debut in Fall 2025, aligning student training with current industry needs.
Scientific presentations were just one portion of the Duke Summit on AI for Health Innovation
In this Q&A series, Duke ECE faculty members discuss their research, its impact, and how students can get involved.
In this Q&A, the optics expert discusses his lab’s computational sensing research and its potential for impact in health and security applications
AI expert Hai “Helen” Li discusses how her lab designs new computer technologies, including personalized devices based on personalized algorithms
Q&A with ECE professor and metamaterials pioneer, Steve Cummer
A Q&A with Duke ECE professor and computer architecture expert Daniel Sorin
Quantum information scientist Kenneth Brown explains why Duke is positioned to lead the quantum systems charge and how students can explore the field
A Q&A with professor Adrienne Stiff-Roberts about Duke ECE’s Nanoelectronic Materials and Devices research