School of Computing

  • Wed, 03/31/2021 - 10:22

    Research Interests: AI and ML, Data Science, Cybersecurity, Education Technology, Health Informatics, Human-Centered Computing, Smart Communities

  • Wed, 03/31/2021 - 10:21

    Research Interests: AI and ML, Data Science, Cybersecurity, Education Technology, Health Informatics, Human-Centered Computing, Smart Communities

  • Wed, 03/31/2021 - 10:20

    Research Interests: Multimodal Image Processing, artificial intelligence, computer vision and deep learning focusing on the medical imaging domain.

  • Wed, 03/24/2021 - 11:53

    The State Council of Higher Education for Virginia (SCHEV) approved Mason’s proposal to set the stage for a reorganization of the Volgenau School of Engineering to a newly formed College of Engineering and Computing, comprising the proposed School of Computing and Volgenau School of Engineering. The College of Engineering and Computing will be led by Ken Ball. The change will become effective on April 1, 2021.

  • Fri, 10/02/2020 - 08:40

    The George Mason University Board of Visitors voted Thursday, Oct. 1, to house the new School of Computing and the existing Volgenau School of Engineering in a newly formed College of Engineering and Computing led by Ken Ball, the current dean of the Volgenau School of Engineering.

  • Mon, 08/10/2020 - 14:34

    Research Interests: HCI, Human-AI Collaboration, Human-in-the-loop, Explainable AI, Steerable AI, CSCW

  • Tue, 07/14/2020 - 12:11

    Research Interests: Artificial intelligence, machine learning, and computational social science

  • Tue, 07/14/2020 - 12:04

    Brittany Johnson-Matthews is best known for her work on improving program analysis tools for use in practice and has an extensive background in empirical research methods

  • Mon, 08/26/2019 - 22:35

    Research Interests: Data science, statistics for big or high-dimensional data, simultaneous inference, multiple comparisons, selection bias, measurement errors, mixtures, causal inference, semi and nonparametric analysis, machine learning, biostatistics, random fields, crowdsourcing, EHR and Text analysis, the interface of statistics and computer science, and other interdisciplinary work.