
On the hunt for asteroids to avoid ‘near miss’ with Earth
In 2013, a group of Rochester and NASA scientists proposed the NEOCam, or “Near-Earth Object Camera,” based on an infrared detector developed here in Rochester. This year, NASA announced extended funding for the program.

Skin sensors provide wealth of patient data
In one current clinical trial, biosensors worn by patients with Parkinson’s and Huntington’s disease generate 25 million measurements over a two-day period.

Imaging at the speed of light
Chunlei Guo and his team have used lasers to make materials extremely water repellent. Now the researchers can visualize, for the first time, the complete evolution of micro- and nanoscale structural formation on the material’s surface.

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.

Visiting students apply computational tools to music, mind
Can a computer learn to read an ancient musical score? Or teach a person to become a better public speaker? Visiting undergraduates–many from under-represented groups in the STEM fields–will work on summer projects investigating these questions and more.

The mysteries of music—and the key of data
Researchers at the University are at the cutting edge of the intersection of data science and music: developing databases to study music history, and creating algorithms to automatically identify a genre or singer.

Study identifies key factor in DNA damage associated with aging
There are many examples of DNA damage being associated with aging, but never has a reduction in DNA damage been shown to extend lifespan. Rochester research has made this connection, and identified an enzyme that can be targeted to reduce that damage.

GPS sensors give women’s soccer team analytic edge
Kim Stagg ’17 covers a lot of ground during each soccer team practice and game. Thanks to an innovative data science program, she and her coaches now know just how much. In fact, she left cleat marks on more than 90% of Fauver Stadium during last season’s closer against Emory. Stagg and her teammates wear GPS devices that track movement, heart rate, and exertion levels, helping her coaches know how much recovery time she might need to avoid injury.

Upstate New York I-Corps Node launches online innovation resource
The new website allows researchers to combine their technical knowledge with an entrepreneurial mindset, with the goal of discovering marketable new technologies.

Millions of tweets are a gold mine for data mining
Researchers can track the flu, consumer preferences, and movie box office sales, all from the millions of tweets posted every day.