Electrical Engineering and Computer Science, Page 17

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Mizzou Engineers earn S.T.A.R. awards

Four Mizzou Engineering students received S.T.A.R. awards recognizing their successful completion of the Student Training for Advancing Research program.

Graphic showing drones over network area

Team uses machine learning to train multiple drones to collaborate within a network

The team used machine learning to train drones to work together within a network to survey an area, track objects and transmit information back to a ground station.

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

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

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