Home

caiml22423498-WEB-

WHAT WE DO

Applied AI and
Machine Learning

  • Bridge developments in AI and Machine Learning to real applications and services in collaboration with our industry partners.

In-House Training

  • Train a new generation of industrial  scientists to address the skills shortage in AI and machine learning areas and increase competitiveness in the high-value information technology sectors, with the development of dedicated education programs.

Intellectual Property

  • Develop IP with and for our partners on demand.

Technology Development
And Deployment

  • Develop new on-demand technologies for machine learning and large-scale data analysis.

Joint Research and
Development

  • Jointly research and develop tools, products, and services for our partners.

The Center for Applied Artificial Intelligence and Machine Learning (CAIML) is housed in the Department of Computer Science within the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas. Our mission is to create a center of excellence skilled in applying leading-edge AI & ML technologies and solutions for our partners’ strategic products and services. The objective of the Center for Applied AI and Machine Learning is to develop long-term, ongoing joint activities through research and development partnerships with companies and organizations in the Dallas Fort Worth Metroplex area and Texas. Our aim is to focus on applied R&D rather than on basic research with the intent of being integral rather than ancillary wherever possible.

Our core team consists of researchers whose expertise lie in artificial intelligence, machine learning, natural language processing, deep learning,   data mining,  big data, computational logic, explainable AI, automated commonsense reasoning,  probabilistic graphical models, health informatics/precision health, medical informatics, and biomedical applications. The research emphasis of the Center for AI & ML implies it is synergistic with the Human Language Technology Research Institute, the Center for Machine Learning, and the Cyber Security Research and Education Institute.

Dr. Doug Degroot

Director

Data Science, Artificial Consciousness and Emotions, Computer Architecture, Natural Language Processing, AI, ML

Dr. Gopal Gupta

Co-Director

Explainable AI, ML, Computational Logic,
Automated Common Sense Reasoning

gopal.gupta@utdallas.edu

Dr. Nicholas Rouzzi

Graphical Models, Machine
Learning, Approximate Inference and Learning, Explainable AI

Nicholas.Ruozzi@utdallas.edu

natarajan sriraam Spring 2018

Dr. Sriraam Natarajan

AI, ML, Statistical Relational AI
Health Informatics/Precision
Health

Sriraam.Natarajan@utdallas.edu

Dr. Latifur Khan

ML, Data Mining, Big Data, Data Analytics,
Stream Data Mining

Latifur.Khan@utdallas.edu

vincent ng - cropped smaller

Dr. Vincent Ng

Natural Language Processing,
AI, ML

vince@hlt.utdallas.edu

Dr. Haim Schweitzer

AI, ML, Computer Vision

HSchweitzer@utdallas.edu

Dr. Vibhav Gogate

AI, ML, Probabilistic Inference, Statistical Relational Learning

Vibhav.Gogate@utdallas.edu

Dr. Bill Semper

Dr. Sanda Harabagiu

AI, ML, Natural Language Processing,
Information Retrieval, Knowledge Processing,
Medical Informatics

Sanda@utdallas.edu

Dr. Dan Moldovan

ML, AI, Natural Language Processing,
Semantic Technologies

Dan.Moldovan@utdallas.edu

ANURAG NAGAR 2 - fall 2018

Dr. Anurag Nagar

ML, Bioinformatics
Financial Data Mining

Anurag.Nagar@utdallas.edu

Dr. Anjum Chida

ML, Bioinformatics, Computational
Biology

Anjum.Chida@utdallas.edu

Our mission is to create a center of excellence skilled in applying leading-edge AI & ML technologies and solutions for our partners’ strategic products and services. The objective of the Center for Applied AI and Machine Learning is to develop long-term, ongoing joint activities through research and development partnerships with companies and organizations in the Dallas Fort Worth Metroplex area and Texas.

WHAT WE DO

Applied
AI & Machine Learning

  • Bridge developments in AI & ML to real
    applications and services in
    collaboration with our industry partners.

In-House
Training

  • Train a new generation of industrial
    scientists to address the skills shortage
    in AI&ML areas and increase
    competitiveness in the high-value
    information technology sectors, with the
    development of dedicated education
    programs.

Intellectual
Property

  • Develop IP with and for our partners,
    on demand.

Technology Development
And Deployment

  • Develop on-demand new
    technologies for machine learning
    and large-scale data analysis

Joint Research and
Development

  • Jointly research and develop tools,
    products, and services for out
    partners.

Dr. Doug Degroot

Data Science, Artificial Consciousness and Emotions, Computer Architecture, Natural Language Processing, AI, ML

<i class=”fa fa-envelope” href = “https://google.com” style=”font-size:48px;”></i>

Dr. Gopal Gupta

Co-Director

Explainable AI, ML, Computational Logic,
Automated Common Sense Reasoning

Dr. Nicholas Rouzzi

Graphical Models, Machine
Learning, Approximate Inference and Learning, Explainable AI

Nicholas.Ruozzi@utdallas.edu

natarajan sriraam Spring 2018

Dr. Sriraam Natarajan

AI, ML, Statistical Relational AI
Health Informatics/Precision
Health

Sriraam.Natarajan@utdallas.edu

Dr. Latifur Khan

ML, Data Mining, Big Data, Data Analytics,
Stream Data Mining

Latifur.Khan@utdallas.edu

Vincent Ng

Dr. Vincent Ng

Natural Language Processing,
AI, ML

vince@hlt.utdallas.edu

Dr. Haim Schweitzer

AI, ML, Computer Vision

HSchweitzer@utdallas.edu

Dr. Vibhav Gogate

AI, ML, Probabilistic Inference, Statistical Relational Learning

Vibhav.Gogate@utdallas.edu

Dr. Bill Semper

Dr. Sanda Harabagiu

AI, ML, Natural Language Processing,
Information Retrieval, Knowledge Processing,
Medical Informatics

Sanda@utdallas.edu

Dr. Dan Moldovan

ML, AI, Natural Language Processing,
Semantic Technologies

Dan.Moldovan@utdallas.edu

ANURAG NAGAR 2 - fall 2018

Dr. Anurag Nagar

ML, Bioinformatics
Financial Data Mining

Anurag.Nagar@utdallas.edu

Dr. Anjum Chida

ML, Bioinformatics, Computational
Biology

Anjum.Chida@utdallas.edu