PhD candidate Matt Bartos was recently chosen by the College of Engineering as a 2018-2019 fellow for the J. Robert Beyster Computational Innovation Graduate Fellows Program.
As a Beyster Fellow, he will be working to build a new generation of smart stormwater systems that use real-time sensing and control to mitigate flooding, reduce runoff pollution and save human lives. Matt’s research combines embedded systems design, high-performance hydrologic modeling and modern advances in signal processing to solve the world’s most pressing water challenges.
Matt is currently a fourth year PhD candidate and is simultaneously pursuing master’s degrees in both Civil and Electrical Engineering.
The J. Robert Beyster Computational Innovation Graduate Fellows Program was established by four-time alum Dr. J. Robert Beyster (BSE Engineering Math 1945, BSE Engineering Physics 1945, MS Physics 1947, PhD Physics 1950) and his wife Betty to acknowledge that PhD students are “the originators and carriers of innovative ideas and solutions from the University to the world,” and to emphasize the pivotal role that high-performance computing must play in solving our societal challenges.