¼ø»Æʦapp

¼ø»Æʦapp's chapter of the National Academy of Inventors (NAI) was recently honored with the inaugural Chapter of Excellence Award during the NAI Annual Meeting in Washington, D.C.

¼ø»Æʦapp engineering researchers conducted a systematic review of peer-reviewed journal papers analyzing the technical aspects of machine learning applied to predicting opioid use as well as the published results.

¼ø»Æʦapp engineering researchers designed a diagnostic tool to explore the use of microRNA signatures and AI as biomarkers to detect and classify several prominent cancers.

Using AI, ¼ø»Æʦapp engineering researchers have developed a first-of-its-kind soft robotic exoskeleton glove that "feels." The new technology provides precise force and guidance in recovering fine finger movements.

¼ø»Æʦapp researchers deployed a novel automated detector and localization model to find underwater marine organisms using their low-frequency pulse sounds to illustrate their detailed behavior.

A new portable tool developed by a College of Engineering and Computer Science researcher will enable patients with sickle cell disease to reliably and conveniently monitor their disease.

¼ø»Æʦapp engineering professor's scientific publications have garnered more than 30,000 citations over the last five years (2018 to 2023), yielding a Google Scholar h-index of 88.

¼ø»Æʦapp faculty experts are available to discuss various issues surrounding hurricane preparedness, evacuation and aftermath.

On May 2nd, 2023, the College of Engineering and Computer Science, in conjunction with the Charles E. Schmidt College of Medicine, and the Christine E. Lynn College of Nursing, hosted the opening event of the Center for Sensing,...

The ¼ø»Æʦapp Alumni Association recently hosted its annual Hall of Fame & Distinguished Alumni Award Ceremony and Reception. In attendance were, front row from left, Erika Donalds; Kavin Ming, Ph.D.; Brittany...