Contact Us

Doug DeGroot
doug.degroot@utdallas.edu
(972) 883-4200
ECSS 4.409

Gopal Gupta
gupta@utdallas.edu
(972) 883-4107
ECSS 3.803

Center for Applied AI & Machine Learning

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

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 Team

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, and the Institute for Data Analytics.


What We Do

Applied AI & 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

CAIML is able to develop strategic Intellectual Property for our clients under a variety of innovative IP agreements, including a novel UT agreement whereby clients can retain full, unrestricted rights to all developed IP.

Technology  Development & Deployment

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

Joint Research & Development

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


Our Researchers

Dr. Doug DeGroot
Director

  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • Artificial Consciousness and Emotions
  • Computer Architecture
  • Natural Language Processing


Dr. Gopal Gupta
Co-Director

  • Explainable AI
  • Machine Learning
  • Computational Logic
  • Automated Common Sense Reasoning

Dr. Feng Chen

  • Anomaly, Event, and Fraud Detection
  • Spatial-Temporal Data Analysis
  • Big Data Analytics
  • Graph Mining and Network Science
  • AI & ML


Dr. Anurag Nagar

  • Machine Learning
  • Bioinformatics
  • Financial Data Mining

Dr. Ovidiu Daescu

  • Computational Geometry
  • Algorithms and Optimization
  • Bio-Medical Computing

Dr. Xiaohu Guo

  • Computer Graphics
  • Computer Vision
  • Medical Imaging
  • VR/AR
  • Geometric Modelling and Processing


Dr. Yunhui Guo

  • Computer Vision
  • Machine Learning


Dr. Lakshman Tamil

  • Telemedicine
  • Internet of Things (IoT)
  • AI Applications to Medicine and Healthcare


Dr. Sriraam Natarajan

  • Artificial Intelligence
  • Machine Learning
  • Statistical Relational AI
  • Health Informatics/Precision Health


Dr. Rishabh Iyer

  • AI & ML
  • Submodulatr optimization in ML
  • Image Classification and Object Detection
  • Video/Image/Text Summarization 
  • Video Analytics


Dr. Vibhav Gogate

  • Artificial Intelligence
  • Machine Learning
  • Probabilistic Inference
  • Statistical Relational Learning


Dr. Nicholas Ruozzi

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

Dr. Vincent Ng

  • Natural Language Processing
  • Artificial Intelligence
  • Machine Learning


Dr. Haim Schweitzer

  • Artificial Intelligence
  • Machine Learning
  • Computer Vision

Dr. Jessica Ouyang

  • Natural Language Processing
  • Automatic Summarization
  • Text Generation


Dr. Latifur Khan

  • Machine Learning
  • Data Mining
  • Big Data
  • Data Analytics
  • Stream Data Mining

Dr. Sanda Harabagiu

  • AI & Machine Learning
  • Natural Language Processing
  • Information Retrieval, Knowledge Processing


Dr. Bingzhe Li

  • Memory and Storage Systems
  • DNA Storage
  • Machine Learning
  • Low-cost Computing Architecture


Dr. Emily Fox

  • Algorithms and Theory
  • Computational Geometry and Topology
  • Combinatorial Optimization and Graph Algorithms

Advisory Board

Mr. Deepak Srinivasan

A Technology, Marketing and Strategic BD professional with decades of experience across US and Asia that spans the ‘arc of digital’ – from consumer to deep tech. Brings in-depth experience in taking complex platforms and apps to market – from concept, UX and dev, to launch and adoption. Passionate about transforming AI into an  auditable and accountable capability, a trusted and reliable resource in the business of business.