Momentum
Research for the Common Good
At the University of Dayton, we're dedicated to developing solutions that have a real impact on society. Last year, faculty and students from a variety of academic programs conducted research with the common good guiding their efforts.
Our Research
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No. 1
in the nation for materials engineering R&D
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No. 3
in the nation for industrial and manufacturing R&D
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$221 million
in annual sponsored research last year
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No. 1
in Ohio for engineering R&D
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No. 1
Catholic university for engineering R&D
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No. 3
Catholic university for R&D in all categories

Research With Us
Join the University of Dayton as an undergraduate, graduate, faculty or staff and help increase our research momentum.
STEM Catalyst Initiative
Understanding Breast Cancer with Microfluidic Device
Drs. Bui and Sarangan are using nanofabrication to build a microfluidic platform that mimics the microenvironment of tumors. They are using the platform to capture migrating cancer cells and study their malignant behavior. This technology may help identify factors that control cancer invasion and diagnosis malignant transformation early.
Possible Treatment for Long-Term Effects of COVID-19
The long-term health and mental health impacts of COVID-19 are unknown, but early estimates suggest that 30-50% with mild-to-moderate acute disease severity will experience lingering respiratory, cardiovascular, neurologic, dermatologic, and gastrointestinal symptoms and/or related complications for months. These individuals, frequently referred to as “long-haulers,” develop significant physiologic and functional impairment as a result and are at increased risk for mental illness.
Understanding the Pathobiology of Cancer and Alzheimer's Disease
Dr. Kango-Singh is using fruit flies to understand the genetic pathways governing cancer and Alzheimer’s disease. This research may uncover key drivers of cancers such as gliomas and enable development of more targeted treatments. She is also investigating the molecular mechanisms underlying neurodegeneration to identify candidate pathways for diagnosis or treatment of Alzheimer’s disease.