Emily Mower Provost
Scholar

Emily Mower Provost

Google Scholar ID: 2pH8BZwAAAAJ
Professor of Computer Science, University of Michigan
Emotion RecognitionMachine LearningEmotion Perception
Citations & Impact
All-time
Citations
7,774
 
H-index
34
 
i10-index
74
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Toyota Faculty Scholar Award (2020)
  • National Science Foundation CAREER Award (2017)
  • Oscar Stern Award for Depression Research (2015)
  • National Science Foundation Graduate Research Fellowship (2004–2007)
  • Co-author of multiple award-winning papers in automatic emotion recognition
Research Experience
  • Leads research on speech-centered machine learning for human behavior modeling
  • Focus areas: emotion recognition, mental health modeling, and assistive technology
  • In emotion recognition, explores multidimensional emotion representations and interpretable data modeling
  • In mental health modeling, uses real-world speech data to assess symptom severity in bipolar disorder and suicide risk
  • In assistive technology, designs speech-based algorithms to detect health changes related to language, muscular, and cognitive impairments