December 17, 2021
University of Cincinnati President Neville G. Pinto looks back on a historic year that brought students, faculty, staff and the community back together like never before.
May 23, 2022
The UC creators of Biology Meets Engineering are wrapping up a three-year National Science Foundation grant to develop and demonstrate a new curriculum drawing from both fields in UC’s College of Arts and Sciences and its College of Engineering and Applied Science. UC students take the class for course credit while faculty will offer a three-week course in June to introduce the concept to high school students.
May 3, 2022
Intel vice president James Breisch got his start in computer engineering through UC's top-ranked co-op program.
December 17, 2021
University of Cincinnati student Jake Hemmerle pursued his interest in cryptocurrency in co-ops that promise to launch a career in computer science.
June 6, 2023
The University of Cincinnati is training the first of the approximately 20,000 workers Intel Corp. plans to hire at the microchip fabrication plants it is building in southwest Ohio.
February 25, 2022
UC College of Engineering and Applied Science doctoral student Javier Viaña used airport technology that identifies the number of people entering the terminals to build a custom algorithm that can help the airport predict surges of travelers in 15-minute increments. The goal is to help the airport anticipate crowding to reduce long waits.
August 18, 2022
A University of Cincinnati electrical engineer has created a new flexible skin sensor that fits like a Band-Aid to monitor your health wirelessly without bulky electronics. Unlike previous generations of wearable sensors, the design has no rigid parts and relies on surface acoustic wave technology to transmit health data wirelessly.
September 7, 2023
Engineers at the University of Cincinnati have developed a new device that can warn consumers about early risks of tooth decay from diseases such as gingivitis and periodontitis.
March 18, 2024
A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.