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Emily Mower Provost

CSE researchers report over $10M in research grants last quarter

The awards were distributed to 18 different primary investigators from sponsors including the NSF, the State Department, and the Department of Defense.

Faculty Profile: Emily Mower Provost

Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.

Emily Mower Provost named Toyota Faculty Scholar

Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.

Nine CSE graduate students recognized by NSF Graduate Research Fellowship Program

The nine students represent a broad range of research areas in the department.

Emotion recognition has a privacy problem – here’s how to fix it

Researchers have demonstrated the ability to “unlearn” sensitive identifying data from audio used to train machine learning models.

CSE researchers present 9 papers at leading AI conference

The students and faculty submitted projects spanning several key application areas for AI.

Student awarded NSF Fellowship for automating speech-based disease classification

Perez’s research focuses on analyzing speech patterns of patients with Huntington Disease.

Precision Health Award for measuring moods

The result will be new measurement methods to determine how moods are shaped by both the behavior of an individual and daily interactions over time

The logic of feeling: Teaching computers to identify emotions

A Q&A with machine learning expert Emily Mower Provost.

Detecting Huntington’s disease with an algorithm that analyzes speech

New, preliminary research found automated speech test accurately diagnoses Huntington’s disease 81 percent of the time and tracks the disease’s progression.

Zakaria Aldeneh selected for IBM Ph.D. Fellowship

Aldeneh’s research focuses on identifying the features of speech that make human interaction feel natural.

Emily Mower Provost receives NSF CAREER Award to develop emotion and mood recognition for mental health monitoring and treatment

Prof. Mower Provost’s research interests are in human-centered speech and video processing, multimodal interfaces design, and speech-based assistive technology.

Collecting data to better identify bipolar disorder

Prof. Emily Mower Provost is collaborating to develop new technologies that provide individuals with insight into how the disease changes over time.

U-M, IBM partner on advanced conversational computing system

The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.

Duc Le Selected for Mary A. Rackham Institute Graduate Student Research Assistantship

Duc is interested in using the computer’s modeling power to better understand the inner workings of the human mind, and using this understanding to create more intelligent software programs.

Emily Mower Provost Receives Oscar Stern Award for Research in Emotion Expression and Perception

The proposed work investigates computational methodologies to differentiate emotion perception patterns of healthy controls and individuals with Major Depressive Disorder or Bipolar Disorder.

Over 100 High School Girls Explore Computer Science at Girls Encoded

The attendees were able to learn from hands-on activities, guest speakers, panel discussions, and projects

Yelin Kim wins Best Student Paper Award at ACM Multimedia 2014 for research in facial emotion recognition

She computationally measures, represents, and analyzes human behavior data to illuminate fundamental human behavior and emotion perception, and develop natural human-machine interfaces.

Listening to bipolar disorder: smartphone app detects mood swings via voice analysis