Sustainable and Intelligent Civil Infrastructure Systems Laboratory - SICIS Lab is broadly focused on developing simulation models and quantitative tools to understand human impacts, evaluate risks, and assess environmental and social impacts during various life cycle phases of buildings and civil infrastructure systems. The research team uses analytics, simulation (high level architecture, agent based modeling, system dynamics), financial engineering principles and theories from social sciences to achieve the research objectives.

More information about SICIS is in this video.


Latest News
  • May 2019: Xi Wang's paper entitled "Investigating the effect of indoor thermal environment on occupants' mental workload and task performance using electroencephalogram." has been accepted for publication Building and Environment. 
  • May 2019: SICIS paper entitled "Evaluation of Preference and Constraint-Sensitive Path-Planning for Assisted Navigation in Indoor Building Environments." has been accepted for publication in ASCE Journal of Computing in Civil Engineering.  
  • March 2019: Da Li has been selected to receive the Rackham Predoctoral Fellowship the supports outstanding PhD students.
  • March 2019: SICIS article :  "Robotic data collection and simulation for evaluation of building retrofit performance." has been published in Advances in Engineering.
  • January 2019: Da Li's paper entitled "Understanding energy-saving behaviors in the American workplace: A unified theory of Motivation, Opportunity and Ability." has been accepted for publication in Energy Research and Social Science.
  • January 2019: SICIS article "Offices are too hot or too cold - is there a better way to control room temperature?" has been published in The Conversation
  • October 2018: Da Li has received the Communication Award at the UM Engineering Graduate Symposium. The award recognizes a student who demonstrates excellence in scientific communication in the Advanced Graduate Student Research Poster Session. Da presented a poster entitled:" An Infrared Thermal Imaging Based Method for Personalized Thermal Comfort Assessment."