Semnani Research Group

Overview: 

Our group is broadly interested in computational mechanics and machine learning for applications related to energy, sustainability and resilience of the infrastructure and the built environment. In particular, we are interested in climate-resilient civil infrastructure, climate change mitigation technologies, and materials for energy and infrastructure sustainability. Some of the applications of our work include natural hazards (e.g., earthquakes and landslides), climate change adaptation, clean/renewable energy and decarbonization technologies (e.g., carbon sequestration, geothermal energy production), analysis and design of composite materials, multiscale material data fusion and advanced infrastructure materials and systems.

The overall framework of our research is shown below.

Research Overview