2019 Institute News

Rochester data scientists will use machine learning to improve modeling of power systems

November 27, 2019

Exterior view of a power station.

Rochester Data Science Consortium scientists at the University of Rochester, in partnership with the University of Vermont and the New York Power Authority, have been awarded $225,000 from the New York State Energy Research and Development Authority (NYSERDA) to apply the latest machine learning methods to develop accurate, reliable, and scalable algorithms for modeling electric generator power systems.

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How University of Rochester Uses AI to Reduce Risk of Failed Follow-Up

August 28, 2019

Exterior view of university of rochester medical center.

“Every patient deserves their best chance for a cure,” says Ben Wandtke, an associate professor of imagining sciences. “If there’s a technology out there that helps make this a reality, you absolutely should embrace it. The problem of delayed diagnosis related to actionable radiology findings is universal, but it does not have to be. Natural language processing-based analytics coupled with database technology and a human touch have nearly eliminated this problem at the University of Rochester.”

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Ajay Anand Presents Research at IEEE EMBC Conference

August 5, 2019

Ajay Anand, Deputy Director of the Goergen Institute for Data Science, gave an oral presentation at the 2019 IEEE EMBC Conference in Berlin, Germany titled “Automated Ultrasound Doppler Angle Estimation using Deep Learning.” His research was co-authored by recent Data Science graduate alumni, Nilesh Patil. Professor Anand also chaired the “Image Processing: Machine Learning and Deep-Learning Approaches” session at the conference. Congratulations to both of them!

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GIDS’ new interim director wants to ‘build a community’ with faculty

June 28, 2019

Mujdat Cetin in front of Wegmans Hall.

Mujdat Cetin would like University of Rochester researchers to see the Goergen Institute for Data Science (GIDS) as an equally important “dimension of their professional identities.” That will be one of Cetin’s top priorities when the associate professor of electrical and computer engineering takes over July 1 as GIDS’ interim director for a one year term.

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Using Machine Learning to Diagnose HIV-associated Neurocognitive Disorders

June 24, 2019

mapping of brain regions

More than 25 percent of individuals with HIV experience a set of complications known as HIV-associated neurocognitive disorders (HAND). Symptoms are often subtle and dynamic, which renders diagnosis of the condition challenging. A new study published in Computers in Biology and Medicine explores automated approaches to detect biomarkers of HAND.

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Saving the lost text of a Torah scroll

March 26, 2019

torah scroll on wooden roller

Through “textual science,” Gregory Heyworth, an associate professor of English, uses different wavelengths of light to photograph and analyze cultural artifacts—salvaging objects whose legibility would otherwise be lost to time.

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