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Resilient Systems and Mobility

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Developing new analytics and control methods to ensure that our infrastructure systems and services are efficient, robust and resilient against extreme events or adversarial failures.

Building resilient systems to safeguard society

Applying principles from systems engineering to real-world sociotechnical systems that support our civilization to make them more resilient against both global and targeted disruptions.

Our infrastructure and engineered systems that are the thread of our civilization combine traditional physical resources with cyber-technologies like sensor-actuator networks and decision-making algorithms.

As disruptions to these systems caused by natural disasters, security attacks or pandemics become more frequent and diverse, a proactive approach to protecting, monitoring and controlling these systems becomes all the more important.

Resilient systems safeguard society through the preservation of resources and maintaining clean energy, air, water and supply chains. Resilient systems are able to resist environmental stresses due to climate change, natural disasters or disease outbreaks that impact the health and well-being of society. The design of resilient systems requires an understanding of fundamental system properties, their interactions with human decision-makers, and the ability to model and predict the key uncertainties in a rapidly changing world. Our research in this domain is in the design and management of societal-scale infrastructure systems for the future.

Key areas include:

  • Networks
    • Motion coordination and vison-based control of unmanned air and ground vehicles
    • Resilient design of networked infrastructure systems: models, validation, and synthesis
  • Sensing and data analytics
  • Integrating autonomy into urban societal systems
    • Deep reinforcement learning algorithms to model and predict autonomous vehicles impacts on public safety, environment health, sustainability, resilience and equity
  • Cyberphysical systems
    • Situational awareness framework for cyber security event prediction and quantification
  • Supply chain resiliency, price optimization, inventory, transportation and procurement optimization
  • System dynamics
  • Spatiotemporal network models to identify and prevent the flow of illegal timber throughout the global supply chain

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