Electrical Engineering and Computer Science, Page 20

Graphic of carbon nanotubes.

Team uses machine learning to predict the properties of simulated carbon nanotube arrays

A Mizzou Engineering team has spent the past couple of years developing a simulation model to demonstrate how carbon nanotubes can be produced without losing their optimal properties.

graphic of computerized face.

Proposed tool would give users control of social media images

A Mizzou Engineering team is devising a tool that social media platforms could implement to help you dictate who gets to share your face.

WoodFeature copy

Ron Wood receives 2020 Citation of Merit Award

Ron Wood (BS EE ’64) has been named to 2020 winner of the Citation of Merit Award, part of Mizzou Engineering’s Hall of Fame.

Robotic vacuum

Mizzou Engineer develops way for robots to navigate complex spaces

A Mizzou Engineer has developed a new way to help robots better navigate complicated environments.

Virtual reality headset

Researchers aim to protect cyber space in virtual reality environments

A Mizzou Engineering team is beginning to study possible cyber threats in virtual reality environments.

cybersecurity graphic.

Middle, high school students explore cyber security at Hacker Tracker Camp

During the Hacker Tracker Cyber Security Camp, middle and high school students practiced coding, explored various types of attacks and heard from experts in the field.

University of Missouri historic columns

10 students, 10 weeks, 5 real-world research experiences

Students from around the state and country gained valuable experience in the Research Experience for Undergraduates program.

Student works at a computer

Beyond counting: computer science partnership helps speed up plant science experiments

As part of the Bioinformatics in Plant Sciences (BIPS) program, undergraduate and graduate students in plant sciences and computer science have come together to create the first phenotype image analysis system for monocot plant leaf veins called, GrasVIQ.

Computer generated images of traffic signs

Machines Can Explain Decisions Through Images, Researchers Find

Machines have the ability to tell humans why they made a decision based on how they prioritize features of what they see. That’s the take-away from a paper Mizzou Engineers have had accepted to an international conference this summer.

Bryce Murray

Bryce Murray

One of my proudest accomplishments was aiding Dr. Anderson in building out the MINDFUL lab which now includes a fleet of drones, and almost every modality of sensor imaginable.