Skip to Content Skip to Content

Computer Science

An ‘electronic nose’ to sniff out COVID-19
nanotube chips for the electronic nose

An ‘electronic nose’ to sniff out COVID-19

Through a newly funded grant, researchers across the University are developing a device that can rapidly detect COVID-19 based on the disease’s unique odor profile.

Erica K. Brockmeier

Localizing epilepsy ‘hotspots’
Scan of a brain

Localizing epilepsy ‘hotspots’

Student interns worked this summer with the Davis Lab in the Penn Epilepsy Center to research improvements to epilepsy diagnosis using the tools of machine learning and network analysis.
Navigating ‘information pollution’ with the help of artificial intelligence
hands holding laptops and phone screens with text saying outbreak, stay home, lockdown, and covid-19 and images of the virus

Navigating ‘information pollution’ with the help of artificial intelligence

Using insights from the field of natural language processing, computer scientist Dan Roth and his research group are developing an online platform that helps users find relevant and trustworthy information about the novel coronavirus.

Erica K. Brockmeier

Engineering’s Stephanie Weirich designs tools for a safer world
Stephanie Weirich stands pointing to a mathematical equation at a whiteboard.

Stephanie Weirich (Image: Penn Engineering)

Engineering’s Stephanie Weirich designs tools for a safer world

Stephanie Weirich, ENIAC President’s Distinguished Professor in Computer and Information Science, aims to make software systems more reliable, maintainable, and secure.

From Penn Engineering Today

Language in tweets offers insight into community-level well-being
A person with arms crossed at the chest standing outside between two rock walls, in front of a glass building.

Lyle Ungar, a professor in the School of Engineering and Applied Science and one of the principal investigators of the World Well-Being Project, which has spent more than half a decade working on ways to grasp the emotional satisfaction and happiness of specific places.

Language in tweets offers insight into community-level well-being

In a Q&A, researcher Lyle Ungar discusses why counties that frequently use words like ‘love’ aren’t necessarily happier, plus how techniques from this work led to a real-time COVID-19 wellness map.

Michele W. Berger