Bio

Vladimir completed his bachelor’s degree in Artificial Intelligence and Computer Science at the University of Edinburgh in 2018. He joined the Institute for Risk and Uncertainty in September of the same year.

Research Interests: Vertical farming, sustainability, decision support systems, economic forecasting, risk profiling, montecarlo simulations, environmental impact assessment, life cycle analysis, smarter mobility, lean manufacturing.

Research project title: Modelling Just In Time with Uncertainty

Project description: Being able to predict the limits of a production line can be beneficial in conditions with increased environmental and political uncertainty. Currently, most production flow models consider uncertainty either for the delivery of resources or the internal structure of the production flow (failure of production equipment). The aim is to present a tool that can combine sources of uncertainty and simulate the production flow under a demand function to help determine the theoretical limits of the system.

Supervisory team: Scott Ferson, Ullrika Sahlin

ORCID: 0000-0001-5386-2008