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‘machine learning’

Student-developed machine-learning techniques make surgeries safer, easier to review

Apr. 12, 2021—Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng, a third-year student majoring in computer science, mathematics...

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MacArthur Fellow, Berkeley engineer to deliver March 17 Hall Lecture on robot learning and safety in avionics

Mar. 4, 2021—Claire Tomlin is a pioneer in hybrid control systems research, particularly aeronautical applications to address problems in aircraft flight control and collision avoidance. She has developed algorithms to help determine when unsafe conditions may arise as variables and interactions become increasingly complex. Her work includes issues of autonomous control of a team of unmanned aerial...

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New faculty Maizie Zhou: Unlocking genetic disorders through Big Data

Dec. 1, 2020—While studying prefrontal cortex development in adolescents, neuroscientist Maizie Zhou came to a realization that would dramatically alter her career path. Seeing how widespread autism was, but how few answers the scientific community had for those affected by it, she decided a different approach—one that is more data-driven and computational—was needed to understand the disorder....

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Wearable sensor algorithms powered by machine learning could be key to preventing runners’ injuries

Oct. 28, 2020—A trans-institutional team of Vanderbilt engineering, data science and clinical researchers has developed a novel approach for monitoring bone stress in recreational and professional athletes, with the goal of anticipating and preventing injury. Using machine learning and biomechanical modeling techniques, the researchers built multisensory algorithms that combine data from lightweight, low-profile wearable sensors in shoes...

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$8.7 million DARPA grant advances AI-assisted CPS design work

Oct. 4, 2020—A new, $8.7 million project—Design. R–AI-assisted CPS Design—involves pathbreaking work for the Defense Advanced Research Projects Agency as future cyber-physical systems will rely less on human control and more machine learning algorithms and artificial intelligence processors. Smart grid, driver-assist and autonomous automobile systems, health and biomedical monitoring, smart cities, robotics systems, and new agricultural technologies are...

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Vanderbilt engineers extend popular online MATLAB course into a new series

Sep. 15, 2020—Building on the exceptional success of their 2015 massive open online course (MOOC), “Introduction to Programming with MATLAB,” Mike Fitzpatrick, professor emeritus of computer science, and Akos Ledeczi, professor of computer engineering, are adding new courses to create an extended series. Fitzpatrick and Ledeczi have teamed up with Jack Noble, assistant professor of electrical engineering,...

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$3.3 million project aims to transform grid management with risk metrics for renewables

Jun. 17, 2020—The U.S. electricity market has never been simple but it has relied on highly predictable models. Loads are high during very hot and very cold months. Residential loads are lower during the day when many people are at workplaces outside their homes. Even then, the price for electricity on the wholesale market fluctuates every five...

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Vanderbilt engineers mine EMRs and clinical journals for novel disease associations and new research paths

Feb. 18, 2020—The idea of simultaneously analyzing medical diagnosis codes with electronic medical records has been much like knowing valuable treasure is buried under miles of rock but lacking the tools to mine it. The payoff—connections that may detect disease earlier and identify new research paths—has tantalized engineers and clinicians alike, remaining largely out of reach. But...

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