NVTC AI Summit

Today's AI systems are enhancing our everyday lives, advancing manufacturing, and aiding the 21st-century workforce. Cross-disciplinary AI research improves industries including healthcare, communication, manufacturing, transportation, and security.

Discover the Possibilities: Research of Consequence

Mason’s AI research portfolio is deep, transdisciplinary, and serves as a rich training ground for undergraduate and graduate students.  Our research informs our curriculum and ensures that what we are teaching stays up-to-date with the latest discoveries..

Our areas of research include geospatial computing, agriculture, computational biology, neuroscience, and climate science. The results here are not only a large number of funded projects but dedicated research centers and initiatives.


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More than 25 percent of computer science faculty are active in this area.


Forge Connections: Partner With Us

Our partnerships with industry help us provide meaningful hands-on experiences and also help us anticipate how new disruptive technologies such as AI are leveraged in the workplace.  The university’s job -- translate these applications to skills through curriculum and meaningful experiences.

  • 10-week summer research program sponsored by the NSF, Research Experience for Undergraduates in Educational Data Mining (EDM). For undergrads humanities, education, and computer science

  • UiPath Partnership part of the rapidly growing emerging software category called Robotic Process Automation (RPA). Used by School of Business

  • Summer and year-round internships with local industry partners

Become a Student: Learn the Latest

Our offerings in the area of Artificial Intelligence and Machine Learning in the undergraduate and graduate curriculum and across units is robust.  We support courses, degrees, and are working to develop a certificate to support upskilling for those who do not need an entire degree.

Our strong programs in government and policy, and law ensure that policy, ethics, and legal implications of AI and similar disruptive technologies are advanced in the curriculum alongside of technical considerations.

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Centers at the university support AI-related research

Research Centers

Learning Agents Center

Learning Agents Center conducts basic and applied research on the development of cognitive assistants that:

  • learn problem solving expertise directly from subject-matter experts,
  • support experts and non-experts in problem solving and decision making,
  • teach their problem-solving expertise to students.

Center for Advancing Human-Machine Partnerships

Center for Advancing Human-Machine Partnerships (CAHMP) directed by Amarda Shehu, Dave Lattanzi (VSE) and Brenda Bannan (CEHD),

There is great social anxiety regarding human-machine partnerships, prompting fundamental questions on our role, individually and collectively. The mission of CAHMP is to transform social anxiety into social resonance by pursuing convergent research on how to restructure and optimize reciprocal relationships between humans and assistive computing systems.

Center for Spatial Information Science and Systems

The Center for Spatial Information Science and Systems (CSISS) conducts research and provides training to postdoctoral fellows, PhD candidates, and master’s students in geospatial information science, remote sensing, satellite image analysis, geospatial data processing, Earth system science, geospatial interoperability and standards, geographic information systems, and other related subjects. Liping Di, College of Science, director.

Joint Center of Intelligent Spatial Computing

The Joint Center for Intelligent Spatial Computing collaborates with our domestic and international agencies/partners, including NASA, NSF, CUE, NPS, EPA, FGDC, Peking University, Wuhan University, Chinese Academy of Sciences, and HeiLong Jiang Bureau of Surveying and Mapping. Targeted to be an international innovator and leader, the center’s research focuses on geospatial information interoperability, high-performance geospatial information processing, geospatial pattern analysis, and spatial GEOSS applications.