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This start-up faculty research team will develop software-based tools to facilitate diagnosis and interpretation of cancer image data for low resource global settings.

The Statistics Online Computational Resource (SOCR) is an online platform including web-services and advanced methods in probability, statistics, and machine learning in the health sector. This team will develop an enhanced analysis and visualization toolbox with an emphasis on “Big Data” - very large datasets that are difficult to analyze and interpret in meaningful ways with basic probability and statistical methods.

The Mapleseed project is developing a passive (i.e., free-falling) wireless in-situ sensor platform for use in detailed sensing of various properties of Earth’s atmosphere. Students are developing miniature wireless circuit boards (using TI cc1310 radio) along with 3D printed airframes.

Researchers at the University of Michigan Transportation Research Institute (UMTRI) have been improving accident impact simulations by broadening the types of body sizes and shapes considered. Students will develop parametric human body models that are capable of testing wide ranges of body sizes, types, and shapes to help create better adaptive and personalized designs for human safety and mobility.

To assess vehicle safety and ease to operation, we will improve upon the design of a virtual driving simulator through open-source software, simple hardware, and virtual roadway and scenario simulation.

This faculty research team designs ground radio instruments and data analysis pipelines to detect radio bursts from extreme space weather in collaboration with NASA's SunRISE mission, which will send up six SmallSats to Earth orbit to image the lowest frequency radio bursts for the first time.

This faculty research team uses core principles of animal locomotion to create advanced robot technologies by distilling their mathematical principles and using machine learning automation.

Our research develops human-centric strategies for automating video data extraction to record vehicle occupant behavior to support enhanced safety, autonomous vehicle development, and other applications.

This faculty research team is designing a nanospacecraft and operating a space mission that will explore the feasibility of a novel propulsion technology – miniature electrodynamic tethers – as propellant-less propulsion to new classes of very small satellites known as picosats and femtosats. Students will create a spacecraft with an operational ED tether for the first experimental testing of propellantless operation in space.

This research will make large-scale manufacturing systems safer, more secure, and more productive, enabling them to produce high-quality products for consumers at lower cost.