The Michigan Engineer News Center

PhD Student Matt Bartos Chosen as Beyster Fellow

Fourth year PhD candidate, Matt Bartos, chosen by College of Engineering as 2018-2019 Beyster Fellow. | Short Read

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.

EnlargeMathew Bartos
IMAGE:  Matt Bartos working in the field

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.

Mathew Bartos
Jessica Petras


Jessica Petras
Marketing Communications Specialist

Department of Civil and Environmental Engineering

(734) 764-9876

GG Brown 2105E

The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors. | Medium Read