COVID-19 Research Roundup
Gator engineers are shaping the future of things that are vital to society as we traverse the COVID-19 pandemic landscape: reliable testing, contact tracing methods, protection for healthcare workers, predictive models for efficient healthcare operations, and many other necessities. Take a glance at what we are doing and how you can help, and check back often for updates and to see new solutions we are creating.
Research & Innovation News
A team of University of Florida mechanical and aerospace engineering students, professors and researchers has been awarded a $12.5 million NASA contract to test and build a space exploration device over the next four years. UF's team is led by experts John W. Conklin, Ph.D. and Peter Wass, Ph.D., a UF MAE associate professor and research scientist, respectively.
Three leading researchers at the Warren B. Nelms institute for the Connected World are using artificial intelligence (AI) to make the Internet of Things (IoT) more secure and more efficient. They have invited us into their laboratories to take a peek at the leading edge of AI applications.
Edward Phelps, Ph.D., assistant professor & J. Crayton Pruitt Family Term Fellow at the J. Crayton Pruitt Family Department of Biomedical Engineering, has received a $1.8M R01 grant from the National Institutes of Health (NIH) to further his studies of the role of gamma Aminobutyric Acid (GABA) in the islet cells of the pancreas.
Josephine Allen, Ph.D., MSE, and her team comprised of MSE Ph.D. candidate and NIH Predoctoral Fellow Bryan James and J. Crayton Pruitt Family Department of Biomedical Engineering undergrad Paxton Guerrin observed that biomedical and biomaterials researchers and the journals publishing their papers rarely mentioned the sex of the cells involved in the studies. They knew how that data could potentially affect research results, and so they conducted their own analysis by surveying the literature o …
Amanda Krause, Ph.D., MSE, is employing artificial intelligence methods to track and catalogue data for her abnormal grain growth research, and thanks to new a $1.2 million research award from the NSF, she will bring a cutting-edge, 3D X-ray microscope system to campus to generate even better data for her algorithms.