Machine Learning

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… Read More

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… Read More

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,… Read More

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… Read More

Vanderbilt risk and reliability engineers will work with MISO Power, which operates the grid in 15 states, to build better predictive models for renewable energy. 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… Read More

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… Read More

In machine learning, generative adversarial networks (GANs) involve two artificial neural networks squaring off, one, the generator, trying to delude the other, the discriminator, into accepting synthetic data as real. Beyond their science and engineering applications, GANs can generate utterly convincing “photographs” of people who do not exist. Unrestricted… Read More

MarmotE team members (L-T) Peter Horvath, Peter Volgyesi, Sandor Szilvasi and Miklos Maroti. Top prize in round one in 2017, second place in round two in 2018, and a prediction to cinch one of the top three spots in the live championship round of the DARPA Spectrum Collaboration Challenge,… Read More

Design Day 2019 took students and visitors to Mars, a diving depth of 300 feet and a potential green oasis above a stretch of Interstate 65. Dean Phillipe Fauchet (left) and Assistant Dean of Design Tom Withrow commend students, advisers, faculty and sponsors for two semesters of hard work. Other… Read More

Ibrahim Ahmed presents his 3-Minute Thesis on March 29. (Joe Howell/Vanderbilt University) An electrical engineering graduate student took the top prize is this year’s Three Minute Thesis (3MT) competition with a presentation on designing fault-tolerant control systems using data-driven methods. Without really saying it that way. Ibrahim Ahmed presented “Comfort… Read More