Recent Posts
Researchers Help AI Express Uncertainty to Improve Health Monitoring Tech
A team of engineering and health researchers has developed a tool that improves the ability of electronic devices to detect when a human patient is coughing, which has applications in health monitoring. The new tool relies on an advanced artificial intelligence (AI) algorithm that helps the AI better identify uncertainty when faced with unexpected data in real-world situations.
Researchers Develop Elastic Material That Is Impervious to Gases and Liquids
This article was originally posted here. An international team of researchers has developed a technique that uses liquid metal to create an elastic material that...
Veena Misra Named as MC Dean Distinguished University Professor
Veena Misra has earned the second honorific professorship title MC Dean Distinguished University Professor in Electrical and Computer Engineering.
Here a sensor, there a sensor…
Meet some ECE faculty members who are putting sensors to use in new ways. This post was originally published here. Sensor technologies can be used to...
Misra Named to DARPA Microsystems Exploratory Council
The Defense Advanced Research Projects Agency (DARPA) has named Dr. Veena Misra to the Microsystems Exploratory Council (MEC) for a three-year term beginning this summer....
Pavlidis receives the 2021-22 R. Ray Bennett Faculty Fellow Award
This post was originally published here. ECE Assistant Professor, Spyros Pavlidis, is the recipient of the 2021-22 R. Ray Bennett Faculty Fellow Award. The mother...
Congratulations to the Winners of the 2022 Wearable Device Challenge
The ASSIST Center’s outreach to pre-college students is so important to our mission. This April 8, 2022, we hosted our annual Wearable Device Challenge, where...