College of Engineering and Computing

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.

Darius Jack came to George Mason University with a passion for systems engineering and for flying. He’s been able to maintain his flight hours while earning a bachelor of science in systems engineering this May and an accelerated master's in systems engineering, his second degree from George Mason, in December.

A $1.5 million grant from the National Science Foundation to study policy and scientific challenges in making bus fleets less dependent on fossil fuel will bring together experts from a variety of disciplines and three major universities. See what they hope to accomplish, and why.

George Mason's College of Engineering and Computing students win a contest for the solution for rear-end collisions.

A team of George Mason students won two contests for their work on researching and proposing a new Chesapeake Bay crossing.

While useful technology, drones can pose a serious security risk. Systems engineering and operations research undergraduates Dyar Aziz and Markus Garretson are working to develop a methodology for inferring drone intent based on sensor data. 

Microsoft Chief Technology Officer of Worldwide & Defense Intelligence Kate Maxwell is an alum of George Mason University, where she studied systems engineering. Following a love of coding, she pursued engineering and tech, and urges women interested in STEM to go for what they want.

Research Interests: Cost Modeling, Cyber-Physical Systems, Requirements Engineering, Systems Engineering, Systems Modeling

Missy Cummings is co-director of the Mason Autonomy and Robotics Center

Research interests: Machine learning and statistical modeling, explainable AI, model fairness and robustness, data exploration, and active learning.