Revolutionizing the Abilities of Adaptive Radar With AI
AI approaches and an enormous open-source dataset could spark rapid advancements in adaptive radar systems similar to those seen in computer vision over the past two decades
Artificial Intelligence & Machine Learning
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 engineers urge computer hardware to higher levels of performance by efficiently allocating the computing resources that machine learning applications require, allowing us to harness the power of data to improve health care, enhance security and automation, and advance computer vision.
Industry partners have included Samsung, Qualcomm, Microsoft, Cadence, Semiconductor Research Corporation, Lenovo, Samsung, Intel, Facebook, HP and many others.
Research Areas
- Autonomous systems
- Intelligent computing systems
- Neuromorphic computing
- Secure, robust and explainable machine learning
- Federated machine learning and Artificial Intelligence of Things (AIoT)
- Performance modeling
- Data modeling
- Interpretable predictive models
- Computer vision
- Biomedical imaging
Highlights
AI Helps Medical Professionals Read Confusing EEGs to Save Lives
Interpretable model almost doubles medical professionals’ accuracy while showing its work, assisting their decision making rather than telling them what to do
Tablet-based AI App Measures Multiple Behavioral Indicators to Screen for Autism
A 10-minute app can accurately screen for autism in children by automatically detecting a wide range of behavioral characteristics
Applications Faculty
Miroslav Pajic
Director of Master’s Studies, Professor in the Department of ECE
Christ D Richmond
Professor in the Department of Electrical and Computer Engineering
Cynthia D. Rudin
Gilbert, Louis, and Edward Lehrman Distinguished Professor
Guillermo Sapiro
James B. Duke Distinguished Professor of Electrical and Computer Engineering
Vahid Tarokh
Rhodes Family Distinguished Professor of Electrical and Computer Engineering
Hardware & Software Faculty
Yiran Chen
John Cocke Distinguished Professor of Electrical and Computer Engineering
Hai “Helen” Li
Chair of Electrical and Computer Engineering, Clare Boothe Luce Professor
Christ D Richmond
Professor in the Department of Electrical and Computer Engineering
Theory Faculty
Robert Calderbank
Charles S. Sydnor Distinguished Professor of Computer Science
Ingrid Daubechies
James B. Duke Distinguished Professor of Mathematics and Electrical and Computer Engineering
Henry Pfister
Jeffrey N. Vinik Associate Professor of Electrical and Computer Engineering
Galen Reeves
Associate Professor in the Department of Electrical and Computer Engineering
Christ D Richmond
Professor in the Department of Electrical and Computer Engineering
Vahid Tarokh
Rhodes Family Distinguished Professor of Electrical and Computer Engineering
Other Research Specialties
Explore additional specialty research areas in Duke ECE and throughout the Pratt School of Engineering.