EECS, Page 19

Spot

Robots, plastics and cows: Top 10 research stories of 2021

The top 10 stories of 2021 included robots, plastics and cows.

Guidoboni

Guidoboni shares intersections of engineering, precision health

Associate Dean for Research Giovanna Guidoboni urged faculty across campus to partner with Mizzou Engineering as they seek to revolutionize health care.

DNA

A faster ‘code breaker’ to analyze human DNA

Mizzou researchers are developing a free, online resource that could help scientists accelerate their discoveries for various human diseases.

Graphic of computerized brain

Undergraduates present brain research at Neuroscience 2021

Mizzou Engineering students joined neuroscientists from around the world last month to exchange ideas and new discoveries about the human brain.

Khaza Anuarul Hoque

Approximate computing remains vulnerable to attacks; Mizzou Engineers to present findings at IEEE DATE conference

Companies relying on faster, less precise computing to gain energy efficiency still need to be cautious against cyberattacks, Mizzou Engineers have found.

Shadows in images

Team designs model to automatically detect shadows in aerial images

A Mizzou Engineering team has designed a physics-based model to automatically detect shadows in large-scale aerial images.

UPEFeature

Computer science students receive UPE Scholarships

Two students from the Department of Electrical Engineering and Computer Science were awarded scholarships from Upsilon Pi Epsilon.

Khaza Anuarul Hoque

Mizzou Engineering hosts 14th CANSec Workshop

Cybersecurity experts from across the region convened at the 14th Central Area Networking and Security Workshop (CANSec) hosted by Mizzou Engineering.

AI predictions of trees.

Team develops method to automatically detect, identify trees

Mizzou Engineering students are developing innovative methods and software to automatically detect and identify tree species

heart monitoring chart

Team develops new method to detect cardiovascular dysfunctions

A Mizzou research team has developed a way to better identify cardiovascular dysfunctions through non-invasive sensors that translate signals from the body into information physicians can use to inform treatment decisions.