February 28, 2023

University of Cincinnati aerospace engineering doctoral student Lynn Pickering is using Fuzzy Logic to create an artificial intelligence structure that is fair, usable, and understandable for humans. This is called Explainable Artificial Intelligence. Pickering is a recipient of the Fulbright Ghent University Award and was named Graduate Student Engineer of the Month by UC’s College of Engineering and Applied Science.

February 2, 2024

After spending five years as a Bearcat earning an undergraduate degree in mechanical engineering technology, Will Mnich decided to continue at the University of Cincinnati to earn not one, but two additional degrees in the aerospace engineering field. Mnich is a student in the Aero-Systems Operations (AESOP) dual degree program.

June 12, 2024

The University of Cincinnati has hundreds of student organizations, dozens of which are majority engineering students. This spring, the UC Aerocats flew two aircraft iin the annual Society of Automotive Engineers (SAE) International Aero Design competition.

April 24, 2024

After earning a bachelor's degree in mechanical engineering in Nepal, Sameer Pokhrel came to the United States to further his education. From an early age, he had a lifelong fascination with aviation. As an adult, he transformed this fascination into a career, pursuing a doctoral degree in aerospace engineering at the University of Cincinnati's historic program. Here, he has succeeded in research, instruction, and was recently named Graduate Student Engineer of the Month by the College of Engineering and Applied Science.

July 11, 2024

Artificial intelligence systems have quickly advanced and can answer just about any question, but how they come to their decisions often isn't understood, even by the people who create the AI. Lynn Pickering, a University of Cincinnati alumna who is working on her PhD at UC, wants to make sure AI is used safely and responsibly. She wants people to be able to review how AI models come to their answers and ensure humans have opportunities to make final decisions, not the machines.

June 12, 2023

Syed Qasim Zaheer is a doctoral candidate at the University of Cincinnati studying aerospace engineering, with a specialized interest in fluid dynamics and flow turbulence. His doctoral work has primarily focused on the analysis of air wakes from large ships during sea-based operations, and how to work towards preventing air wakes from causing turbulence to helicopters that land and take off from the ships. Zaheer is a recipient of the Professor R.T. Davis Memorial Scholarship, and was named Graduate Student Engineer of the Month by UC’s College of Engineering and Applied Science.

May 11, 2023

Dilip Kalagotla, a doctoral candidate at the University of Cincinnati, came to the U.S. to study aerospace engineering. He is working to improve tools used in the field. Particle image velocimetry, the focus of his research, provides important data to aerospace engineers. He was named Graduate Student Engineer of the Month by UC's College of Engineering and Applied Science.

May 4, 2023

Due to the COVID-19 pandemic, aerospace engineering graduate student Harpreet Singh Chhabra had to complete his first semester at the University of Cincinnati online while he was still in India. He hit the ground running when he arrived on campus — he was elected treasurer of the Aerospace Engineering Graduate Student Association, served as a teaching assistant for several aerospace courses and was named Graduate Student Engineer of the Month by UC's College of Engineering and Applied Science.

March 3, 2022

Creating synthetic life could be easily within our grasp soon based on a comparison with the evolution of computer chips. Computer programming and gene synthesis appear to share little in common. But according to University of Cincinnati professor Andrew Steckl, an Ohio Eminent Scholar, leaps forward in technology in the former make him optimistic that wide scale gene manufacture is achievable.

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.