The cross-cutting program in SRIS is intended to foster collaborations and leadership in holistically planning, designing, and managing sustainable and resilient infrastructure systems and their interactions. Here the term “sustainable” refers to the Brundtland Commission’s definition of a sustainable society as one that meets the needs of the present without sacrificing the ability of future generations to meet their needs. Enabling this broad vision requires that CEE practitioners holistically consider the environmental, economic, and social impacts of their work on local, regional, and global systems.

The term “infrastructure systems” is used in its broadest sense, encompassing both built infrastructure (buildings, roads, bridges, pipe networks, treatment facilities, etc.) and infrastructure services that rely on integrated built and natural systems to provide fundamental needs of society. The term “resilient” refers to the ability of such infrastructure systems (including their interconnected ecosystems and social systems) to absorb disturbance and still retain their basic function and structural capacity.

The SRIS program enables graduate students with interest in integrated research, education and practice to obtain cross-disciplinary M.S. and Ph.D. Civil Engineering degrees. The program also seeks to stimulate research amongst areas working as multi-disciplinary groups, leading to cross-disciplinary projects that address critical societal problems. The program strives to enhance the undergraduate and graduate CEE curricula in terms of increasing the integrated course offerings and ensuring the success of the SRIS undergraduate primary specialty area. View the undergraduate handbook (PDF).
 
Research interests of the SRIS faculty include:
  • Planning and management of sustainable and resilient transportation systems
  • Renewable energy supply and logistics
  • Reliable network design under the risk of service disruptions
  • Sustainable urban underground structures development,
  • Earthquake resiliency and interaction of above and below ground urban infrastructure.
  • Real-time monitoring, optimization and control of infrastructure systems.
  • Multiscale data and model synthesis for improved decision support
  • Green infrastructure design to meet social, economic, and environmental objectives
  • Resilience and sustainability modeling of interdependent infrastructural systems
  • Integrated assessment of environmental and socioeconomic impacts of infrastructural expansion
  • Energy-water-environment nexus analysis and modeling
  • trategic infrastructure planning under climate change
  • Mobile sensing, inverse modeling and data assimilation
  • Risk-informed management and post-disaster operations of lifeline networks
  • Reliability analysis of sequential failures in structures for risk-informed design and maintenance

Photo: istockphoto.com/Agnieszka Szymczak