College of Engineering and Computing

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. 

Emergency management training doesn’t usually involve game controllers or artificial intelligence (AI) algorithms, but at George Mason University, faculty and students are redefining what it means to prepare for crises. Through cutting-edge, AI-augmented games, they’re transforming complex challenges into interactive learning experiences that build skills and resilience.

Two College of Engineering and Computing faculty members moderated sessions at the World Engineering Education Forum in Sydney.

At 15 years old, Goonatilake is poised to become the youngest graduate in George Mason University history with a 4.0 grade point average (GPA). This computer science prodigy from Leesburg, Virginia, is doing things at his own speed and far outpacing societal norms.

The Systems Engineering Research Center (SERC) and the Acquisition Innovation Research Center (AIRC) recently added George Mason University as a member.

Brian Burke’s career path, from fighter pilot to ESPN data analyst, demonstrates that whether it’s a 4th-and-inches decision or a career pivot into analytics, calculated risks can pay off.

Graduating computer science major Dhyeya “Dee” Padhya worked in the University Career Services office during his time at George Mason and was featured on the cover of this year’s Career Readiness Guide.

George Mason researchers are coming up with a variety of ways to improve people’s lives.

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.