Civil and Building Systems
State-of-the-art simulation of civil processes
Optimizing civil systems performance by simulation and analysis of complex interactions between different civil processes
Developing tools for efficient project management
Enhancing the applicability of cutting-edge technology such as Digital Twins and BIM in the civil industry for efficient delivery & system maintenance
Civil prediction models driven by Big Data
Developing smart models to predict civil system conditions through their service period by analyzing complex civil datasets
Integrated Concurrent Engineering (ICE)
Innovative sessions involving multi-disciplinary teams to find sustainable solutions for complex systems with support of 3D BIM visualization tools
State-of-the-art simulation of civil processes
Developing tools for efficient project management
Civil prediction models driven by Big Data
Integrated Concurrent Engineering (ICE)

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Civil Systems Engineering

Complex networks of infrastructure and building systems form the backbone of the social and economic life of the 21st century. Urban life as we know it would not be possible without transportation networks, waterway networks, pipelines, electrical grids, hospitals, or airports. Additionally, modern dwellings and office buildings form socio-technical systems with many different natural, physical, social, and cyber-physical elements that stand in complex interaction with each other.

Because of the interactions between all these different natural, physical, social and cyber-physical elements, engineering, constructing, and maintaining these infrastructure and building networks becomes an increasingly difficult task requiring advanced intelligent computing methods.

In response to this challenge, the chair for Systems Engineering offers an education and research program that explores such computing methods and techniques to model complex systems to support all aspects of their agile and informed design and engineering. To this end, a specific focus lies on stochastic modeling of multi-physical system processes, the parametric modeling of system components, and the support of multi-disciplinary integrated collaborative engineering work.

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