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Research Overview

• I am interested in聽human optimization聽problems, which involve the development of software tools to improve how people learn, remember, and make decisions.聽
• I am interested in聽cognitively informed machine learning, which involves the development of machine learning algorithms that leverage insights from human perception and cognition.
• I build computer simulation models of human cognition that allow us to predict and understand behavior. I have worked in the areas of selective attention, awareness, memory, learning, executive control, decision making, and neuropsychological disorders.
• Using these models, we can determine the most effective means of teaching and the manner in which to best present information for human consumption. We're just starting a project to instrument聽聽to boost student learning. We also developed the聽, which helps students learn facts (e.g., foreign language vocabulary) by scheduling study to promote long-term retention. Here's a聽聽to a recent talk on this project.聽
• I use artificial intelligence and machine learning methods to make computer systems smarter and easier to use.聽 A past project that got some notoriety was the聽,听a control system that learns to manage energy resources (air heat, water heat, lighting, and ventilation) in an actual residence to maximize the satisfaction of the inhabitants and minimize energy consumption.
• I serve on advisory boards for companies that apply machine learning and pattern recognition methods to challenging real-world problems (,听,听,听,听,)

Teaching Overview

• Machine learning and big data analytics
• Neural networks and deep learning
• Bayesian models
• Cognitive science and cognitive neuroscience
• Computational modeling of human cognition

Selected Publications:

Mozer, M. C. (2002). Frames of reference in unilateral neglect and visual perception: A computational perspective. Psychological Review. In Press.

Mozer, M. C., Colagrosso, M. D., & Huber, D. H. (2002). A rational analysis of cognitive control in a speeded discrimination task. To appear in T. Dietterich, S. Becker, & Ghahramani, Z. (Eds.) Advances in Neural Information Processing Systems 14. Cambridge, MA: MIT Press.聽

Sitton, M., Mozer, M. C., & Farah, M. J. (2000). Superadditive effects of multiple lesions in a connectionist architecture: Implications for the neuropsychology of optic aphasia. Psychological Review, 107, 709-734.