A federal grant matched by New York state and RIT is enabling university researchers to study a competitive solution to polyethylene mulch and identify a more sustainable alternative to conventionally used plastics in farming.
Ke Du and Blanca Lapizco-Encinas, both faculty-researchers in RIT’s Kate Gleason College of Engineering, worked with an international team to collaborate on the design of a next-generation miniature lab device that uses magnetic nano-beads to isolate minute bacterial particles that cause diseases. This new technology improves how clinicians isolate drug-resistant strains of bacterial infections and difficult-to-detect micro-particles such as those making up Ebola and coronaviruses.
Mehdi Mirakhorli, an assistant professor of software engineering, has earned a prestigious National Science Foundation award to develop new technologies that can make software architecture design more intuitive, particularity for novice programmers and new learners.
Michael Murdoch, an assistant professor of color science, received a prestigious National Science Foundation award to research how the human visual system perceives a mix of augmented reality and real-world content.
RIT is leading an effort involving local companies and healthcare experts to produce a prototype ventilator designed to help meet the continuing surge of respiratory cases as a result of the coronavirus.
The LiveAbility Lab is a partnership between RIT and the Al Sigl Community of Agencies, a collaborative network of organizations in Rochester that serves children and adults with special needs. The lab, which is located on Al Sigl’s Wolk Campus, opened in 2018. The goal is to develop a pipeline of accessible technology projects that are conceived at RIT and take root at the LiveAbility Lab on their way to development in the marketplace.
RIT’s K-12 University Center is leveraging the university’s strength in experiential learning and career readiness in a new partnership with the Army Educational Outreach Program. RIT will receive $14 million to expand the Army’s apprenticeship programs and cultivate a STEM-literate workforce that reflects the nation’s demographics.
Statistical machine learning is at the core of modern-day advances in artificial intelligence, but RIT professor Ernest Fokoué argues that applying it correctly requires equal parts science and art. Fokoué emphasized the human element of statistical machine learning in his primer on the field that graced the cover of a recent edition of Notices of the American Mathematical Society.