Research Focus Area: Intelligent Infrastructure Engineering

Recent technological advances are enabling civil infrastructure systems with intelligent capabilities to adapt to dynamically changing environments. For example, concepts of machine learning combined with sensors and actuators can allow a system to learn from an environment and take actions to optimize its response.

Future engineers must be equipped with capabilities to design such systems to provide society with more efficient infrastructures. This requires a highly multi-disciplinary approach (e.g., control theory, artificial intelligence, sensing systems, optimization theory, asset management, etc.). The Intelligent Infrastructure Engineering program offers such training opportunity to students desiring to pursue this non-traditional path. Typical students will be Ph.D. candidates conducting multi-disciplinary research that addresses the intelligent infrastructure challenge.

Research Faculty

Alice Alipour
Associate Professor
  • Resilience quantification methods for infrastructure systems under extreme events
  • Multi-hazard design and assessment criteria for structures
  • Reliability assessment of deteriorating infrastructure components
Halil Ceylan
Professor
In Ho Cho
Associate Professor
  • Big data-oriented engineering and science
  • High performance computing/parallel computing algorithms
  • Earthquake engineering
Simon Laflamme
Associate Professor
  • Structural control
  • Structural health monitoring
  • Smart structures and intelligent systems engineering
Anuj Sharma
Associate Professor
  • Big data analytics in transportation and data-driven decision making
  • Safety and efficiency of traffic operations
  • Smart rural transportation
Omar Smadi
Center for Transportation Research and Education
Interim Director, Associate Professor
  • Transportation asset management
  • Transportation safety
Christopher Day
Assistant Professor
  • Performance measures
  • Intelligent transportation systems
  • Connected and automated vehicles
Jonathan Wood
Assistant Professor
  • Connected and autonomous vehicles
  • Data-driven decision making with uncertainty
  • Transportation safety analytics
Simon Laflamme
Associate Professor
  • Structural health monitoring
  • Adaptive systems
  • Structural control
  • Intelligent systems
  • Nonlinear time series
Yunjeong “Leah” Mo
Assistant Professor
  • Smart building energy management and occupant behavior
  • Construction work process automation
  • Emerging technologies (VR/AR, BIM, Digital-Twin, etc.) for construction research and education