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
Dr. Yunhui Guo
Dr. Lakshman Tamil
- Telemedicine
- Internet of Things (IoT)
- Machine learning and artificial intelligence 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. Anjum Chida
- Machine Learning
- Bioinformatics
- Computational Biology
Dr. Dan Moldovan
- Machine Learning
- Artificial Intelligence
- Natural Language Processing
- Semantic Technologies
Dr. Sanda Harabagiu
- AI & Machine Learning
- Natural Language Processing
- Information Retrieval, Knowledge Processing
Dr. Emily Fox
- Algorithms and Theory
- Computational Geometry and Topology
- Combinatorial Optimization and Graph Algorithms