Jordan Ivanchev obtained his M.Sc. degree from the University College in London (UCL) in Electrical Engineering and Communications and his B.Sc from the Jacobs University Bremen (JUB) in Electrical Engineering and Computer Science. Since January 2011 he held a position as a Research Associate in the MINDS machine learning group at JUB, working on hierarchical architectures for motion control based on recurrent neural networks. He joined TUM CREATE in June 2013 to work on traffic modelling and optimisation at the ”Modelling and Optimization of Architectures and Infrastructure” group. His research interests include: automated agent-based simulation calibration, optimal sensor placement problems, social optimal routing strategies, traffic modelling, sensing and control.