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.

Breathtaking: Students describe working in zero gravity conditions

Mizzou Engineers describe zero-gravity conditions on board G-FORCE ONE.

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.

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.

Computer science students receive UPE Scholarships

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

Team develops method to automatically detect, identify trees

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

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.

Mizzou Engineer studies trail bridges as part of E4C Fellowship

Abdul Rashid Mussah investigated the effectiveness of trail bridges as part of a fellowship with Engineering 4 Change.

Mizzou Engineers to present at IEEE Blockchain Conference

A Mizzou Engineering team has developed a secure Blockchain platform that insurance companies could use to streamline claims processing.

Engineering team develops system to segment, track cells from images

A Mizzou Engineering team won a Best Paper Award at an international workshop for work around detecting and tracking cells in microscopy videos.