eye with AI textures

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.

Jeff Krolik and members of his lab calibrate radar equipment

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

Hai Li

Hai Li has been named Fellow of the Association of Computing Machinery

Cynthia Rudin won a 2022 Guggenheim Fellowship

Cynthia Rudin won a 2022 Guggenheim Fellowship

Guillermo Sapiro

Duke Awarded $12M Research Grant to Use Artificial Intelligence to Detect Autism

Duke ECE faculty member Guillermo Sapiro will collaborate with Duke faculty in psychiatry and behavioral sciences on the grant

A woman sitting on a stool with a bunch of papers spread out across the floor

Duke Professor Wins $1 Million Artificial Intelligence Prize, A ‘New Nobel’

Cynthia Rudin becomes second recipient of AAAI Squirrel AI Award for pioneering socially responsible AI
Robert Calderbank

Calderbank Elected to American Academy of Arts and Sciences

Robert Calderbank directs the Rhodes Information Initiative at Duke

Applications Faculty

Carin

Lawrence Carin

Professor of Electrical and Computer Engineering

Research Interests: Applied statistics and machine learning

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

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

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.

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

Li

Xin Li

Professor in the Department of Electrical and Computer Engineering

Research Interests: Integrated circuits, signal processing and data analytics

Mainsah

Boyla Octavie Mainsah

Assistant Research Professor in the Department of Electrical and Computer Engineering

Nolte

Loren W. Nolte

Professor of Electrical and Computer Engineering

Research Interests: Bayesian approach to signal detection, classification, estimation, tracking and decision and sensor fusion. Applications in ocean acoustics, and in medical imaging for cancer research.

Pajic

Miroslav Pajic

Dickinson Family Associate Professor

Research Interests: Design and analysis of autonomous cyber-physical systems (CPS), and in particular, embedded systems, AI, learning and controls, CPS security and high-assurance autonomy, with various application domains including robotics, automotive, and medical systems

Jian Pei

Jian Pei

Professor of Electrical and Computer Engineering

Research Interests: Data mining, data warehousing and online analytic processing (OLAP), database systems, bioinformatics

Richmond

Christ D Richmond

Professor in the Department of Electrical and Computer Engineering

Tania Roy

Tania Roy

Arriving January 2023

Research Interests: Neuromorphic computing, high-energy electronics

Rudin

Cynthia D. Rudin

Earl D. McLean, Jr. Professor

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…

Tarokh

Vahid Tarokh

Rhodes Family Professor of Electrical and Computer Engineering

Research Interests: Foundations of AI,  Foundations of Signal Processing, Learning Representations, Transfer Learning,  Meta-Learning, Physics Infused Learning, Extreme Value Theory, Dependence Modeling, Hypothesis Testing, Sequential Analysis.

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

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

Chen

Yiran Chen

Professor in the Department of Electrical and Computer Engineering

Research Interests: Emerging memory and storage technologies Embedded systems, CPS, edge computing, and mobile applications Neuromorphic computing, deep learning and system security Low power circuit and system

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

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

Richmond

Christ D Richmond

Professor in the Department of Electrical and Computer Engineering

Tania Roy

Tania Roy

Arriving January 2023

Research Interests: Neuromorphic computing, high-energy electronics

Theory Faculty

Calderbank

Robert Calderbank

Charles S. Sydnor Distinguished Professor of Computer Science

Daubechies

Ingrid Daubechies

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

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

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

Richmond

Christ D Richmond

Professor in the Department of Electrical and Computer Engineering

Tarokh

Vahid Tarokh

Rhodes Family Professor of Electrical and Computer Engineering

Research Interests: Foundations of AI,  Foundations of Signal Processing, Learning Representations, Transfer Learning,  Meta-Learning, Physics Infused Learning, Extreme Value Theory, Dependence Modeling, Hypothesis Testing, Sequential Analysis.