Ehsan Hoque

A quick, speech-based AI tool offers a new way to screen for a key indicator of the neurodegenerative disease.

Ehsan Hoque, William Renninger, and Petros Tzeferacos have been named Presidential Early Career Award for Scientists and Engineers (PECASE) recipients.

Researchers from the Hajim School and the Medical Center have developed a test for Parkinson’s disease severity that relies on 10 taps of the finger, with results available in minutes.

With faculty and graduate student mentorship, undergraduate researchers thrive in the Rochester Human-Computer Interaction lab.

Rochester computer scientist Ehsan Hoque and his colleagues have harnessed machine learning to accurately identify signs of the neurological disease by analyzing facial muscles.

University of Rochester researchers have developed SOPHIE, a virtual ‘patient’ that trains doctors in explaining end-of-life options.

Our interactions on social media could encourage new ways of thinking and different perspectives, if creativity was considered part of the network’s algorithms, say Rochester researchers.

The director of Rochester's Human-Computer Interaction Lab is one of ten leaders selected to work with the organization on “sparking transformative change to improve health care for all.”

Imagine if lie-detection apps became widely available on everyone’s phones or computers. Computer scientist Ehsan Hoque will use a new $1 million grant to explore the benefits and ethical risks of this type of tech.

University researchers are using data science to analyze more than 1 million facial expressions to more accurately detect deception based on a smile.