Dr. Jordan IVANCHEV
Jordan is a postdoctoral research fellow at TUMCREATE. He received his Ph.D degree in Computer Science dealing with traffic optimization from the Technische Universität München (TUM) in 2017. He 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 TUMCREATE in June 2013 to work on traffic modelling and optimisation at the ''Modelling and Optimization of Architectures and Infrastructure'' group. His research interests include: driving behaviour modelling, automated -based simulation calibration, optimal sensor placement problems, social optimal routing strategies, traffic modelling, sensing and control. Apart from being the transport expert in Cooling Singapore, Jordan is currently the lead PI of the BEHAVE project, which is funded by an NRF seed grant and deals with analysis of human-driven and autonomous vehicles’ behaviour.