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Engineering Research

Research is an integral function within the Gallogly College of Engineering. Our research productivity focuses in four strategic growth areas:

Healthcare

Biomedical engineering research is known for the creation of technologies that advance human health. Research themes include:

  • Cancer Nanomedicine
    Photothermal therapy, peptide-based drugs, targeted delivery, and theranostics. 
  • Brain Research and Neural Engineering
    Traumatic brain injury, post-traumatic stress disorder, cerebral palsy, brain tumors, pain, Alzheimer’s disease, and depression. 
  • Regenerative Medicine Arthritis (bone and cartilage repair), spinal cord, temporomandibular joint, trachea, vision, diabetes. 
  • Medical Imaging Digital mammography, radiography, fluoroscopy, biophotonics, fluorescence lifetime imaging, cancer imaging, image processing. 
  • Auditory Function
    Biomechanical modeling and measurement of blast and other threats of auditory injury; hearing protection mechanisms; and restoration of hearing and balancing functions. 
  • Immunoengineering
    Diabetes, cancer, arthritis. 
  • Biomaterials
    Drug delivery, scaffolding for tissue engineering, cancer therapy. 
  • Health and Medical Systems
    Medical systems scalability, clinical quality and costs of care, digital and personalized medicine, implant and cell factory capabilities, drug delivery systems, telemedicine, healthcare analytics, healthcare operations, emergency care logistics, implant manufacturing and bioprinting, and human technology and AR/VR devices.

Computing

  • Data Science and Analytics, Artificial Intelligence and Machine Learning
    Development of advanced methods for enormous spatiotemporal data sets constrained by real-time analysis and prediction requirements. 
  • Secure Embedded Software Engineering
    Advancements in design, development, testing, and deployment of safety-critical real-time embedded software systems. 

Energy

  • Sustainability
    Advancements in efficiency, resiliency, and diversification in the context of distributed smart power production and distribution systems.
  • Power systems
    Protection of power grids with highly distributed and volatile energy resources. 
  • Refining
    Development of new hydrocarbon refining and utilization technologies through advancements in heterogeneous catalytic science. 
  • Complex Fluids
    Development of next generation oil field fluids for deep formation permeability modification through the design of new surfactant, polymer, and particle systems. 
  • Produced Water
    Development of novel treatment technologies to enable reuse of produced water, working together with the water priority

Water

  • Smart Water
    Application of sensors, information technology, and data analytics to optimize use of water resources. 
  • Water Reuse
    Application of engineered treatment technologies and operational strategies to utilize marginal waters (e.g., produced water, municipal and industrial wastewater, and storm water). 
  • Engineering with Nature
    Development of hybrid systems that combine engineered and natural systems to treat and manage polluted water, while also providing additional ecosystem services. 

Related Links

Recent Research News


    McGovern to Lead $20 Million NSF Artificial Intelligence Institute

    Amy McGovern, an OU professor with dual appointments in the School of Computer Science in the Gallogly College of Engineering and in the School of Meteorology in the College of Atmospheric and Geographic Sciences, will lead the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography.

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    Razzaghi Applies Artificial Intelligence to Predict Preeclampsia Risk

    Talayeh Razzaghi, an assistant professor in the School of Industrial and Systems Engineering is leading a project using machine learning and artificial intelligence techniques to predict when pregnant women may have increased risk of preeclampsia.

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    Metcalf Receives Department of Defense Young Faculty Award

    In recent years, commercial and military demand for using the electromagnetic spectrum has exploded. Mobile devices, digital audio and streaming platforms compete with military needs for communications and intelligence. Justin Metcalf’s research project explores how the electromagnetic spectrum has become critically congested.

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    Crossley Awarded $2 Million NSF EFRI Grant 

    Steven Crossley, associate professor at the University of Oklahoma School of Chemical, Biological and Materials Engineering, has been awarded a four-year, $2 million collaborative grant by the Emerging Frontiers in Research and Innovation program of the National Science Foundation to advance polymer recycling technologies in hopes of sending less multi-layer plastics to landfills.

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    Nicholson Utilizes Machine Learning to Predict Potential Coronavirus Spread 

    New research provides better insight into predicting how the coronavirus might spread in rural communities. Led by Charles Nicholson, an associate professor in the School of Industrial and Systems Engineering, the project applies machine learning techniques and data like social media, mobility, demographics and health factors to develop models to predict the spread of COVID-19.

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