Artificial Intelligence & Machine Learning at Luddy

AI research in the Luddy School crosses departmental and sub-unit boundaries. The work spans many areas of AI, from theoretical foundations to applied research to important applications. This page collates these strands to show the breadth and depth of these research efforts.

View people: Alphabetically         By area         By relationship to AI

AI & Society

Xiaojing Liao

Security and Privacy

• AI & Society
  
• Applications
  
• Natural Language Processing
  

Filippo Menczer

Network Science

• AI & Society
  
• Applications
  

Beth Plale

Data Governance and High Performance Computing

• AI & Society
  
• Systems for AI
  

Luis Rocha

Network Science

• AI & Society
  
• Applications
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Xiaofeng Wang

Security and Privacy

• AI & Society
  
• Applications
  
• Machine Learning
  

Algorithmic Foundations

Ariful Azad

High Performance Computing

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Optimization
  
• Systems for AI
  

Eleftherios Garyfallidis

Intelligent Neuroimaging

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Dirk Van Gucht

Database Theory

• Algorithmic Foundations
  
• Knowledge Representation
  
• Probabilistic Models
  

Roni Khardon

Graphical models and Stochastic Planning

• Algorithmic Foundations
  
• Knowledge Representation
  
• Machine Learning
  
• Probabilistic Models
  

Lantao Liu

Robotics

• Algorithmic Foundations
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  
• Robotics
  

Christopher Raphael

Music Informatics

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Probabilistic Models
  

Justin Wood

Cognitive Science

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  

Qin Zhang

Theoretical Computer Science

• Algorithmic Foundations
  
• Machine Learning
  

Applications of AI

Raj Acharya

Computational Biology

• Applications
  
• Machine Learning
  
• Probabilistic Models
  

Yong-Yeol Ahn

Network Science

• Applications
  
• Cognitive Models
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Ariful Azad

High Performance Computing

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Optimization
  
• Systems for AI
  

Damir Cavar

Natural Language Processing

• Applications
  
• Cognitive Models
  
• Natural Language Processing
  
• Systems for AI
  

Memo Dalkilic

Data Mining

• Applications
  
• Machine Learning
  
• Optimization
  

Minje Kim

Speech and Audio

• Applications
  
• Machine Learning
  
• Optimization
  

Xiaojing Liao

Security and Privacy

• AI & Society
  
• Applications
  
• Natural Language Processing
  

Paul Macklin

Computational Biology

• Applications
  

Filippo Menczer

Network Science

• AI & Society
  
• Applications
  

Christopher Raphael

Music Informatics

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Probabilistic Models
  

Luis Rocha

Network Science

• AI & Society
  
• Applications
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Haixu Tang

Computational Biology

• Applications
  
• Machine Learning
  

Xiaofeng Wang

Security and Privacy

• AI & Society
  
• Applications
  
• Machine Learning
  

Yijie Wang

Computational Biology

• Applications
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Donald Williamson

Speech and Audio

• Applications
  
• Machine Learning
  

Yuzhen Ye

Computational Biology

• Applications
  
• Machine Learning
  

Cognitive Models

Yong-Yeol Ahn

Network Science

• Applications
  
• Cognitive Models
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Randall Beer

Cognitive Science

• Cognitive Models
  
• Optimization
  
• Robotics
  

Damir Cavar

Natural Language Processing

• Applications
  
• Cognitive Models
  
• Natural Language Processing
  
• Systems for AI
  

David Crandall

Computer Vision

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Probabilistic Models
  

Eleftherios Garyfallidis

Intelligent Neuroimaging

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Eduardo Izquierdo

Cognitive Science

• Cognitive Models
  
• Optimization
  
• Robotics
  

David Leake

Case-based Reasoning

• Cognitive Models
  
• Knowledge Representation
  
• Machine Learning
  

Chung-chieh Shan

Programming Languages

• Cognitive Models
  
• Systems for AI
  

Zoran Tiganj

Neural-level Cognitive Models

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Justin Wood

Cognitive Science

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  

Computer Vision

David Crandall

Computer Vision

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Probabilistic Models
  

Eleftherios Garyfallidis

Intelligent Neuroimaging

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Zoran Tiganj

Neural-level Cognitive Models

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Justin Wood

Cognitive Science

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  

Knowledge Representation

Dirk Van Gucht

Database Theory

• Algorithmic Foundations
  
• Knowledge Representation
  
• Probabilistic Models
  

Roni Khardon

Graphical models and Stochastic Planning

• Algorithmic Foundations
  
• Knowledge Representation
  
• Machine Learning
  
• Probabilistic Models
  

David Leake

Case-based Reasoning

• Cognitive Models
  
• Knowledge Representation
  
• Machine Learning
  

Machine Learning

Raj Acharya

Computational Biology

• Applications
  
• Machine Learning
  
• Probabilistic Models
  

Yong-Yeol Ahn

Network Science

• Applications
  
• Cognitive Models
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Ariful Azad

High Performance Computing

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Optimization
  
• Systems for AI
  

David Crandall

Computer Vision

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Probabilistic Models
  

Memo Dalkilic

Data Mining

• Applications
  
• Machine Learning
  
• Optimization
  

Eleftherios Garyfallidis

Intelligent Neuroimaging

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Roni Khardon

Graphical models and Stochastic Planning

• Algorithmic Foundations
  
• Knowledge Representation
  
• Machine Learning
  
• Probabilistic Models
  

Minje Kim

Speech and Audio

• Applications
  
• Machine Learning
  
• Optimization
  

Sandra Kuebler

Computational Linguistics

• Machine Learning
  
• Natural Language Processing
  

David Leake

Case-based Reasoning

• Cognitive Models
  
• Knowledge Representation
  
• Machine Learning
  

Lantao Liu

Robotics

• Algorithmic Foundations
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  
• Robotics
  

Xiaozhong Liu

Information Retrieval

• Machine Learning
  
• Natural Language Processing
  

Christopher Raphael

Music Informatics

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Probabilistic Models
  

Luis Rocha

Network Science

• AI & Society
  
• Applications
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Haixu Tang

Computational Biology

• Applications
  
• Machine Learning
  

Zoran Tiganj

Neural-level Cognitive Models

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Michael Trosset

Statistics

• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Xiaofeng Wang

Security and Privacy

• AI & Society
  
• Applications
  
• Machine Learning
  

Yijie Wang

Computational Biology

• Applications
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Donald Williamson

Speech and Audio

• Applications
  
• Machine Learning
  

Justin Wood

Cognitive Science

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  

Yuzhen Ye

Computational Biology

• Applications
  
• Machine Learning
  

Qin Zhang

Theoretical Computer Science

• Algorithmic Foundations
  
• Machine Learning
  

Natural Language Processing

Yong-Yeol Ahn

Network Science

• Applications
  
• Cognitive Models
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Damir Cavar

Natural Language Processing

• Applications
  
• Cognitive Models
  
• Natural Language Processing
  
• Systems for AI
  

Sandra Kuebler

Computational Linguistics

• Machine Learning
  
• Natural Language Processing
  

Xiaojing Liao

Security and Privacy

• AI & Society
  
• Applications
  
• Natural Language Processing
  

Xiaozhong Liu

Information Retrieval

• Machine Learning
  
• Natural Language Processing
  

Luis Rocha

Network Science

• AI & Society
  
• Applications
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Zoran Tiganj

Neural-level Cognitive Models

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Optimization

Ariful Azad

High Performance Computing

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Optimization
  
• Systems for AI
  

Randall Beer

Cognitive Science

• Cognitive Models
  
• Optimization
  
• Robotics
  

Memo Dalkilic

Data Mining

• Applications
  
• Machine Learning
  
• Optimization
  

Eleftherios Garyfallidis

Intelligent Neuroimaging

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Eduardo Izquierdo

Cognitive Science

• Cognitive Models
  
• Optimization
  
• Robotics
  

Minje Kim

Speech and Audio

• Applications
  
• Machine Learning
  
• Optimization
  

Lantao Liu

Robotics

• Algorithmic Foundations
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  
• Robotics
  

Michael Trosset

Statistics

• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Yijie Wang

Computational Biology

• Applications
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Probabilistic Models

Raj Acharya

Computational Biology

• Applications
  
• Machine Learning
  
• Probabilistic Models
  

Yong-Yeol Ahn

Network Science

• Applications
  
• Cognitive Models
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

David Crandall

Computer Vision

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Probabilistic Models
  

Eleftherios Garyfallidis

Intelligent Neuroimaging

• Algorithmic Foundations
  
• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Dirk Van Gucht

Database Theory

• Algorithmic Foundations
  
• Knowledge Representation
  
• Probabilistic Models
  

Roni Khardon

Graphical models and Stochastic Planning

• Algorithmic Foundations
  
• Knowledge Representation
  
• Machine Learning
  
• Probabilistic Models
  

Lantao Liu

Robotics

• Algorithmic Foundations
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  
• Robotics
  

Christopher Raphael

Music Informatics

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Probabilistic Models
  

Luis Rocha

Network Science

• AI & Society
  
• Applications
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Zoran Tiganj

Neural-level Cognitive Models

• Cognitive Models
  
• Computer Vision
  
• Machine Learning
  
• Natural Language Processing
  
• Probabilistic Models
  

Michael Trosset

Statistics

• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Yijie Wang

Computational Biology

• Applications
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  

Robotics

Randall Beer

Cognitive Science

• Cognitive Models
  
• Optimization
  
• Robotics
  

Eduardo Izquierdo

Cognitive Science

• Cognitive Models
  
• Optimization
  
• Robotics
  

Lantao Liu

Robotics

• Algorithmic Foundations
  
• Machine Learning
  
• Optimization
  
• Probabilistic Models
  
• Robotics
  

Selma Sabanovic

Human-Robot Interaction

• Robotics
  

Systems for AI

Ariful Azad

High Performance Computing

• Algorithmic Foundations
  
• Applications
  
• Machine Learning
  
• Optimization
  
• Systems for AI
  

Damir Cavar

Natural Language Processing

• Applications
  
• Cognitive Models
  
• Natural Language Processing
  
• Systems for AI
  

Beth Plale

Data Governance and High Performance Computing

• AI & Society
  
• Systems for AI
  

Chung-chieh Shan

Programming Languages

• Cognitive Models
  
• Systems for AI