Bridge developments in AI and Machine Learning to real applications and services in collaboration with our industry partners.
Develop new on-demand technologies for machine learning and large-scale data analysis.
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.
Develop IP with and for our partners on demand.
Jointly research and develop tools, products, and services for our partners.
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.
UTD's CS Department is one of the largest in the nation with 80 faculty members and approximately 2900 students; I have been Department Head since August 2009.
I have worked on advanced computing research since 1986. My research has been focused on computational logic, declarative programming including AI and machine learning. My PhD students and I have developed many advanced techniques and systems for automated reasoning, automated software migration, machine learning, assistive technology, parallel computing, etc. Many of the systems my lab has developed have been made publicly available (or commercialized through startups). Visit my UT Dallas home page for more details. Also, have significant expertise with managing and advancing a large department (CS Department at UT Dallas is the 4th largest department in the US). Helped set up many innovative programs within the CS Department (CS Mentor Center, Honors Programs, K-12 Outreach, visit the CS Department news page for more details.