Saviz Moghtadernejad

Research area

• Resilient and Smart Infrastructure
• Applied AI in Infrastructure Design & Management
• Optimization of Intervention Programs for Transportation Networks
• Multi-criteria Decision-making and Fuzzy Networks

Curriculum Vitae

Saviz Moghtadernejad is a postdoctoral fellow in the Institute for Construction and Infrastructure Management, in the Department of Civil, Environmental and Geomatic Engineering, at the Swiss Federal Institute of Technology in Zürich (ETHZ), Switzerland. At ETHZ, she works on the determination of optimal restoration programs, to improve asset management schemes for authorities and infrastructure managers and allow for more resilient multi-modal transport infrastructures. Moreover, she works on the application of data-driven methods to estimate deterioration curves of railway supporting structures and to provide solutions for tackling measurement errors and discrepancies in real-world time history inspection data using machine learning algorithms and Markov models. Saviz received her MSc and PhD in Civil Engineering from McGill University, Canada, where she developed an integrated and systematic paradigm to maximize the resilience and sustainability of buildings. She is also interested in incorporating artificial intelligence and expert systems such as Fuzzy integrals and Neural Networks in her research to provide a reliable performance assessment and decision-making tool for choosing optimal solutions.

Publications