Complex Systems Core Faculty Members Robert Deegan and Fernanda Valdovinos Awarded with Catalyst Grants
"The Michigan Institute for Computational Discovery and Engineering awarded its second round of Catalyst Grants in May 2018 to seven innovative projects in computational science. The proposals were judged on novelty, likelihood of success, potential for external funding, and potential to leverage ARC’s existing computing resources."
-The Michigan Institute for Computational Discovery & Engineering
Seven innovative projects in computational science will each receive between $80,000 and $90,000 for their research.
Teaching autonomous soft machines to swim
Researchers: Silas Alben, Mathematics; Robert Deegan, Physics, Complex Systems, Alex Gorodetsky, Aerospace Engineering
Description: Self-oscillating gels are polymeric materials that change shape, driven by chemical reactions occurring entirely within the gel. The research team will develop a computational and machine learning program to discover how to configure self-oscillating gels so that they undergo deformations that result in swimming. The long term goal is to develop a general framework for controlling autonomous soft machines.
Embedded Machine Learning Systems To Sense and Understand Pollinator Behavior
Researchers: Robert Dick, Electrical
Engineering and Computer Science; Fernanda Valdovinos Ecology and Evolutionary
Biology, Complex Systems; Paul Glaum, Ecology and Evolutionary
Description: To understand the
mechanisms driving the population dynamics of pollinators, the research team
will develop technologies for deeply embedded hardware/software learning