The huge increase in facemasks during the COVID-19 pandemic is creating heaps of trash that take years to decompose - until now, thanks to an invention by a UConn engineer.

Ever since the introduction of IBM’s Watson, companies have been on a voracious quest to use computers and machine learning to help doctors and diagnosticians solve medical quandaries. For a team of five University of Connecticut computer science students, they’re looking to apply those same machine learning principles towards determining whether a patient has COVID-19 or other lung-damaging diseases.

Lyman Orchards, a fixture in Connecticut, has graced the tables of families with produce and baked goods for hundreds of years. But with growing popularity among consumers, and increased retail partnerships, Lyman finds themselves at the upper limits of their production capacity—and is calling on a group of UConn Engineering students to use their expertise to find creative solutions.

University of Connecticut professor of chemical and biomolecular engineering Jeff McCutcheon is a quarter finalist in the American-Made Challenges: Solar Desalination Prize administered by the U.S. Department of Energy. High salinity brines from oil and gas production, mining and industrial wastewaters are challenging to treat with conventional desalination technologies. Scientists have been working on various […]

UConn researcher Bahram Javidi is developing a rapid, portable method of testing for COVID-19 that could be a boon to health care providers and patients alike.