News
March 12, 2024
A first-of-its-kind engineering study using a new tool suggests that to detect subtle gait impairments in older adults that often are prevalent in the early stages of cognitive decline, "throw them a curve."
January 31, 2024
Engineering researchers explored the "vast sea" of big Medicare data, Parts B and D, using a novel technique they developed, which could conserve substantial resources for the Medicare system.
January 18, 2024
The College of Engineering and Computer Science of Florida Atlantic University received a $2.6 million grant from the National Science Foundation (NSF) to establish a scholarship program in the burgeoning and critical field...
December 13, 2023
Manatees are endangered species volatile to the environment. Because of their voracious appetites, they often spend up to eight hours a day grazing for food within shallow waters, making them vulnerable to environmental...
November 18, 2023
FAU College of Engineering and Computer Science and the National Academy of Inventors® announced the expansion of an intellectual property certificate for students to gain knowledge on protecting innovations.
October 03, 2023
More than 100 Florida Power & Light engineers attended a two-day basic electricity workshop for non-electrical engineers conducted by FAU's College of Engineering and Computer Science.
October 02, 2023
The technique employed by FAU researchers demonstrates it can be invaluable for accurately identifying the sources of extreme events in a completely data-driven manner.
August 18, 2023
Florida Atlantic University'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.
July 27, 2023
FAU 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.
July 20, 2023
FAU engineering researchers designed a diagnostic tool to explore the use of microRNA signatures and AI as biomarkers to detect and classify several prominent cancers.