Tag: Ehsan Hoque
Software uses selfies to detect early symptoms of Parkinson’s disease
Rochester computer scientist Ehsan Hoque and his colleagues have harnessed machine learning to accurately identify signs of the neurological disease by analyzing facial muscles.
A new way to prepare doctors for difficult conversations
University of Rochester researchers have developed SOPHIE, a virtual ‘patient’ that trains doctors in explaining end-of-life options.
Can social networks help us be more creative?
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.
Ehsan Hoque named an ‘emerging leader’ by National Academy of Medicine
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.”
Will data science and smartphone apps predict if you are telling the truth?
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.
Using data science to tell which of these people is lying
University researchers are using data science to analyze more than 1 million facial expressions to more accurately detect deception based on a smile.
Ehsan Hoque, among ‘10 Scientists to Watch,’ is a study in resiliency
An expert in human-computer interaction and a pioneer in developing apps that help people hone their speaking and social skills, Hoque continues to apply lessons of resiliency he learned as an undergraduate.
Human-Computer Interaction class creates programs, apps to improve lives
Students in this class spend two months developing a technical product that could potentially be deployed in the wider world, with the goal of using computing to solve pressing problems in society.
Hoque an inaugural member of Future of Computing Academy
Hoque, who applies a computational lens to understand and model the ambiguity in human communication, would like to raise awareness for accessibility and promote the role of computing to solve important societal problems.
Machine learning advances human-computer interaction
Machine learning provides computers with the ability to learn from labeled examples and observations of data. Researchers at Rochester are developing computer programs incorporating machine learning to teach robots and software to understand natural language and body language, make predictions from social media, and model human cognition.