George Mason University

Technology and Information

Research

Technology is transforming how we live, work, and play. Mason engineers and scientists from a variety of disciplines are partnering to develop technologies that empower people, protect our infrastructure and military, assist in healthcare and medicine, and provide disaster warning and relief.

  • Center for Air Transportation Systems Research

    The center encourages excellence in education and research in air transportation systems engineering. Its work includes transportation network-of-networks simulation, optimization, and analysis; complex adaptive systems simulation and analysis; airport and airspace simulation and performance analysis; and rare-event safety analysis for systems and devices.

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  • Center for Discovery Science and Health Informatics

    The Center for Discovery Science and Health Informatics conducts research on computational methods to improve health care costs, quality, safety and effectiveness. Among the areas of focus: Creating methods for intelligent health care data analysis; creating methods for patient-oriented health care decision support; conducting health services research; creating methods for individualized comparative effectiveness; applying new methods to solve problems in health data management, data integration and knowledge discovery to support health information exchange; and developing and testing analytic methods that support decision-making and the meaningful use of health data.

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  • Center for Transportation Public – Private Partnership Policy

    The Center for Transportation Public-Private Partnership Policy was launched with the support of the Commonwealth of Virginia to develop advanced research and education in this rapidly evolving field. Virginia is a leader in innovative finance in the U.S. – the Commonwealth’s 1995 Public-Private Transportation Act (PPTA) was one of the first state laws of its type. Public sector resources can no longer keep pace with the maintenance, rehabilitation, and improvement needs of the nation’s transportation infrastructure. Public-private partnerships (P3s) can supplement and leverage scarce public funding and can deliver significant infrastructure improvements and associated public benefits through the innovation, efficiency and capital resources available in the private sector.

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  • Center of Excellence in Neuroergonomics, Technology, and Cognition

    Launched with funding from the Air Force Office of Scientific Research and the Air Force Research Laboratory, this center researches neuroergonomics, which is the study of the human brain in relation to performance at work, transportation, and other everyday settings. Neuroergonomics has two major goals: To advance understanding of human brain function in relation to mental and physical processes and performance in real-world tasks; and to use existing and emerging knowledge of human performance and brain function to design technologies, systems, and environments for safe, efficient, and enjoyable work.

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  • Learning Agents Center

    The center conducts research on the development of cognitive assistants that learn complex problem-solving expertise directly from human experts. It also works with experts and nonexperts in problem-solving and decision-making. Top research areas include instructable agents, evidence-based reasoning, multistrategy learning with an evolving knowledge representation, graphical user-interfaces, integrated logic and probabilistic reasoning, mixed-initiative reasoning and collaborative problem-solving, modeling experts’ reasoning, learning-based knowledge engineering, natural language processing, and intelligent tutoring systems.

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  • The Machine Learning and Inference Laboratory

    The Machine Learning and Inference Laboratory conducts research on the development of intelligent systems capable of advanced forms of learning, inference, and knowledge generation, and applies them to real-world problems. Major research areas include: theory and computational models of learning and inference; data mining and knowledge discovery; machine learning and natural induction, inductive databases and knowledge scouts; and behavior modeling and computer intrusion detection.

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