Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning (AI/ML) research in the Department of Computer Science focuses on designing adaptive, data-driven systems that can learn, reason, and act in complex environments.

Our work advances natural language processing, computer vision, multiagent systems, and evolutionary computation, while also addressing pressing concerns in fairness, interpretability, and ethical AI. Methods range from deep learning to reinforcement learning to hybrid symbolic-statistical approaches. These efforts enable innovations in autonomous systems, decision support, scientific discovery, and human-AI collaboration, ensuring AI systems that are not only powerful but also trustworthy and transparent.

The department's AI/ML research is closely tied to the Mason Autonomy and Robotics Center (MARC), a state-of-the-art facility dedicated to advancing autonomy, robotics, and responsible AI. MARC provides specialized laboratories where faculty and students design, test, and refine autonomous systems.