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AI/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.

Helen Li works on electrical equipment with a grad student

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

Centers

INDUSTRY COLLABORATIONS

University Collaborations


Good to Know

Yiran Chen

Yiran Chen was named Editor-in-Chief of IEEE Circuits and Systems Magazine (CAS-M).

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22 papers accepted at NeurIPS 2019

Guillermo Sapiro

Guillermo Sapiro received the best paper award of the International Conference on Computer Vision's 2019 Autonomous Driving Workshop.

Lisa Wu Wills

Lisa Wu Wills won a Facebook Systems for ML research award.

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NSF Awards Duke $3M AI/Materials Training Grant

Cynthia Rudin will serve as associate director for research and mentoring of the new aiM—AI for Understanding and Designing Materials—graduate training program 

NSF Convergence Accelerator logo

Duke-Led Team to Develop Privacy-Minded AI Health Learning Platform

A Duke-led team including Hai Li and Lawrence Carin has received a new $1 million National Science Foundation (NSF) Convergence Accelerator grant to develop a health model sharing and learning platform named LEARNER

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Duke Researchers Join National Effort to Demystify Deep Learning

Guillermo Sapiro and Ingrid Daubechies join a nationwide collaboration to crack the coding contortions of deep learning algorithms that fuel artificial intelligence and related technologies

Applications Faculty

Lawrence Carin

Lawrence Carin

James L. Meriam Distinguished Professor of Electrical and Computer Engineering

Research Interests: Applied statistics and machine learning

Krishnendu Chakrabarty

Krishnendu Chakrabarty

John Cocke Distinguished Professor of Electrical and Computer Engineering

Research Interests: Testing and design-for-testability of integrated circuits and systems (SOCs, 3D, manycore); microfluidic biochips and cyberphysical systems; resilient computing systems; hardware security; machine learning hardware and  neuromorphic computing systems

Leslie M. Collins

Leslie M. Collins

Professor of Electrical and Computer Engineering

Research Interests: Physics-based machine learning algorithms for big data, including developing remediation strategies for the hearing impaired and sensor-based algorithms for the detection of hazardous buried objects

Mary "Missy" Cummings

Mary "Missy" Cummings

Professor in the Department of Electrical and Computer Engineering

Research Interests: Human-unmanned vehicle interaction, human-autonomous system collaboration, human-systems engineering, public policy implications of unmanned vehicles, and the ethical and social impact of technology.

Jeffrey L. Krolik

Jeffrey L. Krolik

Professor of Electrical and Computer Engineering

Research Interests: Physics-based and statistical signal processing, sensor array processing, radar and sonar systems, pervasive distributed processing

Xin Li

Xin Li

Professor in the Department of Electrical and Computer Engineering

Research Interests: Integrated circuits, signal processing and data analytics

Loren W. Nolte

Loren W. Nolte

Professor of Electrical and Computer Engineering

Research Interests: Bayesian and physics-based approaches to signal detection, classification, estimation, tracking and decision and sensor fusion. Machine learning. Applications include ocean acoustics and medical imaging-based decision theory for cancer research.

Miroslav Pajic

Miroslav Pajic

Dickinson Family Associate Professor

Research Interests: Design and analysis of cyber-physical systems (CPS), in particular, embedded systems, distributed/networked control systems, CPS security, and high-confidence medical systems

Cynthia D. Rudin

Cynthia D. Rudin

Professor of Computer Science

Research Interests: Machine learning, interpretability and transparency of predictive models, causal inference, energy, criminal justice, healthcare

Guillermo Sapiro

Guillermo Sapiro

James B. Duke Distinguished Professor of Electrical and Computer Engineering

Research Interests: Image and video processing, computer vision, computer graphics, computational vision, biomedical imaging, brain imaging, cryo-tomography of viruses, computational tools in cryo-tomography, computational tools in early diagnosis of psychiatric disorders, differential geometry and [...]

Vahid Tarokh

Vahid Tarokh

Rhodes Family Professor of Electrical and Computer Engineering

Research Interests: Representation, modeling, inference and prediction from data

Lisa Wills

Lisa Wills

Clare Boothe Luce Assistant Professor of Computer Science and Electrical and Computer Engineering

Research Interests: I enjoy solving difficult problems surrounding computations with the goal to process large volumes of data efficiently. My research interests include computer architecture and microarchitecture, hardware-software co-designs, accelerators, and emerging application domains ― [...]

Hardware & Software Faculty

Krishnendu Chakrabarty

Krishnendu Chakrabarty

John Cocke Distinguished Professor of Electrical and Computer Engineering

Research Interests: Testing and design-for-testability of integrated circuits and systems (SOCs, 3D, manycore); microfluidic biochips and cyberphysical systems; resilient computing systems; hardware security; machine learning hardware and  neuromorphic computing systems

Yiran Chen

Yiran Chen

Professor in the Department of Electrical and Computer Engineering

Research Interests: Nonvolatile memory and storage systems, neuromorphic computing, and mobile applications.

Hai "Helen" Li

Hai "Helen" Li

Clare Boothe Luce Professor of Electrical and Computer Engineering

Research Interests: Neuromorphic computing systems Machine learning acceleration and trustworthy AIEmerging memory technologies, circuit and architecture Low power circuits and systems

Theory Faculty

Robert Calderbank

Robert Calderbank

Charles S. Sydnor Distinguished Professor of Computer Science

Research Interests: Error control codes for quantum computing, wireless communication and the internet of things, coding theory for computer architecture, signal processing, machine learning

Ingrid Daubechies

Ingrid Daubechies

James B. Duke Distinguished Professor of Mathematics and Electrical and Computer Engineering

Research Interests: Wavelet theory, signal processing, machine learning, computational geometry, time-frequency analysis

Henry Pfister

Henry Pfister

Professor in the Department of Electrical and Computer Engineering

Research Interests: Information theory, communications, probabilistic graphical models, machine learning, and deep neural networks

Galen Reeves

Galen Reeves

Associate Professor in the Department of Electrical and Computer Engineering

Research Interests: Information theory, high-dimensional statistical inference, statistical signal processing, compressed sensing, machine learning

Vahid Tarokh

Vahid Tarokh

Rhodes Family Professor of Electrical and Computer Engineering

Research Interests: Representation, modeling, inference and prediction from data