Skip Navigation

News & Events

News, Events and Awards

Stylized crimson line.
Research
June 11, 2026

OU Receives $11.5 Million NIH Award to Establish Statewide Immunoengineering Research Center

The University of Oklahoma has received an $11.5 million award from the National Institutes of Health to establish the Oklahoma Center of ImmunoEngineering, a new research center designed to accelerate the study and treatment of diseases rooted in the immune system, led by principal investigators Wei Chen, Ph.D., and Chongle Pan, Ph.D.


May 19, 2026

OU Engineering Student Earns Grand Prize at 2026 Research Day at the Capitol

The Gallogly College of Engineering congratulates Hunter Helvey, a senior Biology major and undergraduate researcher in Dr. John Clegg’s Biomedical Engineering lab, on being named the overall Grand Prize winner at the 2026 Research Day at the Capitol, held April 28 at the Oklahoma State Capitol.


April 27, 2026

Gallogly College Launches FAST Program to Accelerate Faculty Success

The Gallogly College of Engineering is strengthening its commitment to faculty excellence through the FAST Program (Faculty, Advise, Support, Thrive), a new initiative designed to accelerate the success of early-career faculty and enhance the college’s research and educational impact.


April 14, 2026

Sooners Without Borders Takes Students to Ecuador for Hands-on Conservation Work

Sooners Without Borders (SWB), a student organization in the Gallogly College of Engineering, recently took a group of 11 University of Oklahoma students to Ecuador for an international service-learning experience. The group spent winter break, January 7–18, 2026, at the Regeneration Field Institute, a 70-acre regenerative agroforestry farm focused on sustainable land management and community collaboration.


Research
February 09, 2026

OU–Industry Collaboration Harnesses AI to Accelerate Antibody Drug Production

In a study published in the journal Communications Engineering, Chongle Pan, an OU professor of computer science and biomedical engineering, and Penghua Wang, a doctoral student in data science and analytics, detail a machine learning model that dramatically accelerates the manufacturing timeline of monoclonal antibodies.