MU Electrical Engineering and Computer Science Professor Prasad Calyam is the principal investigator on the two-year, $500,000 NSF award titled, “CC* Integration: End-to-End Performance and Security Driven Federated Data-Intensive Workflow Management.”
Recent University of Missouri research sponsored by the National Science Foundation titled “A Networked Virtual Reality Platform for Immersive Online Social Learning of Youth with Autism Spectrum Disorders” (NSF CNS-1647213) has been focused on understanding the benefits in the use of virtual reality to aid the special education of students with autism.
In June, the College of Engineering played host to the third edition of its National Institutes of Health Brain Initiative Summer Course on Models and Neurobiology, attracting 24 attendees from across the country for a two-week, intensive course on utilizing computer modeling in neurobiology research.
Now, thanks to a new grant from the National Institutes of Health, members of the Center for Eldercare and Rehabilitation Technology will investigate tailoring the system to alert the patients themselves or family members, providing actionable data that’s easy for non-health professionals to use.
The list of fellows of the American Physical Society reads like a who’s who of the physics world from the 20th Century to the present day. Mark Prelas, professor of Electrical Engineering and Computer Science, was elected in the most recent group of fellows of the APS.
Using a combination of optimization models and data analytics techniques, the researchers identified the relationship between production planning decisions and food waste and unsatisfied customer demands.
We all carry thousands of genes in our genome and have millions of unique genetic pairs. On the surface, trying to narrow down which genes and/or genetic pairs cause a neurodevelopmental disorder such as autism can seem like a “needle in a haystack” endeavor. By using big data analytics, a University of Missouri research team […]
Yi Shang has worked for years on perfecting a customizable mobile survey app to allow researchers to pair specific survey questions with data collected from wearable technology to unlock new methods of data collection. Now, his work will help break new ground in alcohol-impaired driving research. Shang, a professor of Electrical Engineering and Computer Science […]