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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
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DTSTAMP:20260530T221211Z
UID:Seminar-ACTO/Networks-504@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Othon Michail:MAILTO:Othon.Michail@liverpool.ac.uk
DTSTART:20200311T140000
DTEND:20200311T150000
SUMMARY:ACTO/Networks Series
DESCRIPTION:Dr. Jurgen Hackl: Complex Infrastructure Systems: From real-world to computational models and beyond\n\nCivil infrastructure systems are increasing in demand due to urban growth and densification.\nThis is compounded by various uncertainties related to rapid urbanization, climate change and resource\nlimitations. Additionally, the complexity of interdependent systems supporting an increasing global population\nand the future well-being of society poses a major challenge. Thereby, cities stand as a paramount example\nof how a complex interplay of infrastructures, technologies and human behaviour may lead to outcomes and\npatterns very far from the usual cause-effect scheme.\n\nThis presentation focuses on complex infrastructure systems (such as transportation and supply chains),\nintelligent risk and resilience assessments for climate change, and integrated solutions to future challenges\nfacing our cities and society. To gain a deeper understanding of such complex systems, new mathematical\napproaches and computational models are needed. In order to achieve this, we have to go beyond the\nclassical boundaries of the individual disciplines and work in an interdisciplinary team. In this sense, research\non smart mobility and smart cities have been developed as new research areas.\n\nThe aim of this presentation is to give an overview how complex infrastructure systems are currently modelled;\nhow novel network analytic methods for spatial-temporal networks can be utilized to gain a better understanding\nof our complex urban environment; how advances in data analytics and machine learning provide us new ways\nto extract knowledge and support decision-making processes; as well as how cloud-based simulations might\noffer a solution for computational risk and resilience assessments of complex infrastructure systems.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=504
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