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(734) 647-1802
Applications: Assistive Technology, Emotional Modeling, Mood Tracking Methodologies: Behavioral-Social Signal Processing, Machine Learning, Speech Signal Processing Relevant Projects: NSF, NIH, IBM Watson Connections:

IEEE Signal Processing Society, Spoken Language Technical Committee Member

Emily Mower Provost

Assistant Professor, Computer Science and Engineering

Research in the CHAI lab focuses on emotion modeling (classification and perception) and assistive technology (bipolar disorder and aphasia).

Behavioral Signal Processing Approach to Modeling Human-centered Data

Behavioral Signal Processing Approach to Modeling Human-centered Data