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

Rochester Data Science Consortium scientists at the , 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.

“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 ÌìÃÀÊÓƵ.”

, 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!

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

Mujdat Cetin would like ÌìÃÀÊÓƵ 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.

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.

Henry Kautz, the founding director of the Goergen Institute for Data Science at the ÌìÃÀÊÓƵ, is being recognized for his contributions to artificial intelligence and computational social science with a prestigious technical award from the world’s largest computing society.

Twelve awards were handed out Friday at the third annual Gwennies Awards luncheon, presented by the . The event honors partners who exemplify the center’s values—respect, collaboration, diversity and inclusion, betterment, and purpose.

Data science students explore the ethical considerations of their craft

Data science makes it easier for police to monitor the activities of ordinary citizens, and for human resource departments to automatically whittle down a pile of job applications. Data science even enables Uber drivers to share among themselves who they consider to be “good” and “bad” customers.

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.

In a series of papers, Rochester professor Gourab Ghoshal and members of his lab are using the fundamental laws of physics to untangle the complex systems behind human behavior, urban planning, and social networks.