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Matthew Gerber

Position: Assistant Professor
Office: Olsson 102D
Phone: 434-924-5397
Personal Homepage

Ph.D., Michigan State University


Prof. Gerber joined the University of Virginia faculty in 2011. He conducts research in Cyber-Human Systems (CHSs), which couple humans and computing to advance human capabilities and wellbeing. He is interested in how humans perceive safety and risk, how these perceptions influence behavior, and how we might embed humans within CHSs to measure and modify these processes and outcomes. He teaches courses in data science.

Research Interests:

  • Cyber-Human Systems
  • Sequential Decision Making
  • Reinforcement and Supervised Learning
  • Natural Language Processing

Research Groups:

Research Centers:

Representative Publications:

  1. Gerber, M. (2014). Predicting Crime using Twitter and Kernel Density Estimation. Decision Support Systems (Elsevier), vol. 61, pp. 115-125, 2014.
  2. Gerber, M., and L. Tang (2013). Automatic Quality Control of Transportation Reports using Statistical Language Processing. IEEE Transactions on Intelligent Transportation Systems, vol. 14, issue 4, pp. 1681-1689, 12/2013.
  3. M. S. Gerber and J. Y. Chai. (2012). Semantic Role Labeling of Implicit Arguments for Nominal Predicates. Computational Linguistics, vol. 38, issue 4, pp. 755-798, 2012.
  4. X. Wang, D. E. Brown, and M. S. Gerber (2012). Spatio-Temporal Modeling of Criminal Incidents Using Geographic, Demographic, and Twitter-derived Information. In Lecture Notes in Computer Science: Intelligence and Security Informatics. In press. IEEE.
  5. M. Gerber and J. Y. Chai (2010). Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. Pages 1583-1592. Uppsala, Sweden. ( Best Long Paper Award).

Other Activities:

Graduate Students: