Artificial Intelligence

On this episode of Access to Excellence, President Gregory Washington and Amarda Shehu discuss the research possibilities of AI and the role of higher education in AI training and development.

George Mason researcher Carlotta Domeniconi is working with the Department of Homeland Security to leverage machine learning and natural language processing to model—and uncover—human smuggling networks.  

Breakthroughs in George Mason University's Department of Computer Science may result in more effective use of rescue robots.

From degrees in engineering and geoinformation science to her current role as a director in AI and machine learning, Adjunct Professor Aisha Behr brings a wealth of industry experience to the classroom, inspiring students with real-world knowledge and innovative teaching methods. 

A new course combines expertise from several George Mason units. The purpose? To teach the ethics of artificial intelligence. See who is teaching and when the course starts.

Researchers Farrokh Alemi and Kevin Lybarger receive George Mason University’s first Patient-Centered Outcomes Research Institute (PCORI) award to develop innovative AI technology, including large language models, for improving antidepressant recommendations.

Ashish Hingle’s research examines how students develop an understanding of artificial intelligence (AI) through coursework and activities both inside and outside the classroom. He states, "As we prepare our students to be informed users and developers of algorithms and AI, we must align their learning with their interests." 

Two George Mason faculty member will represent the university on a governor-created task force on AI.

A $1 million grant from the U.S. Senate will create a new interdisciplinary center at George Mason designed to help Virginia small businesses take advantage of advances in artificial intelligence. Read who is behind this first-of-its-kind center and how it will work.

In two recent research projects, George Mason statistics professor Abolfazl Safikhani has applied machine learning tools to time series analysis of land use and real estate pricing to help decision-makers in urban planning and real estate.