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The faculty members in the School of ISE research at the intersection of Methodological and Impact Domains. Our work in Methodological Domains contributes to theory and tools in Systems Engineering, broadly including Design and Manufacturing Processes, Human Factors, and Reliability, and in Analytics, broadly including Predictive Modeling, Optimization, Simulation, and Decision Analysis. We apply these methodological innovations to three important collaborative Impact Domains aligned with OU’s strategic verticals of research and creative activity.

Cyber-Physical-Social Systems

Cyber-Physical-Social Systems are complex systems that integrate physical components and processes, computational elements, and social interactions to perform tasks and provide services. Our applications recognize the interdependence among humans with physical and technological systems during their normal operation and the impact on communities during their disruption.

  • Decision-making for interdependent network resilience
  • Network interdiction with imperfect data
  • Game theory approaches to disaster response collaboration
  • Digital twins for resilient infrastructure and communities
  • Multi-industry impacts of infrastructure disruptions
  • Anomaly detection in complex systems
  • Optimization of advanced sensing systems
  • Deep learning-assisted simulation of complex systems
  • Dynamic management of reliable and resilient networks
  • Evolving food-energy-water nexus for sustainable development
  • Infrastructure and community impacts of weaponized disinformation

Health and Medical Systems

Health and Medical Systems refer to the infrastructure, organizations, and practices that are in place to provide healthcare services, promote public health, and support the well-being of individuals and communities. We improve these systems, which encompass a wide range of components and functions, including healthcare facilities, medical technologies, and public policy.

Predictive modeling for community health monitoring and control

  • Digital twins for cancer patient care and outcomes
  • Optimal cancer screening programs
  • Incentive policy design for cancer screening in underserved populations
  • Radiation therapy treatment planning guided by biological responses
  • Personalized surveillance programs for cancer survivors
  • Cost-effectiveness of interventions in cancer treatment
  • Optimal health resource allocation in rural districts 
  • Multi-person virtual reality for smart learning using real-time biometric data
  • Eye-tracking data analytics in a virtual reality hospital environment
  • Epidemiological and socio-economic impact analysis of pandemic response strategies

Aerospace and Defense Systems

Aerospace and Defense Systems refer to the technologies, equipment, and analytics used in military applications, national security, and aerospace activities. These systems, particularly important to military bases in Oklahoma and the aerospace sector in the region, encompass a wide range of components and capabilities, combining advanced manufacturing, maintenance planning, and operational strategies.

  • Additive manufacturing for rapid prototyping for aerospace systems
  • Integrating machine learning and optimization for improved defense supply chains
  • Optimization of supply chain collaboration and policy-making
  • Supplier survivability and optimal selection
  • Dynamic management of maintenance, repair, and overhaul operations
  • Machining process modeling, sensing, and control
  • Visual scanning and mitigation strategies in air traffic control
  • Component and system reliability and quality control decision-making