Rafał Kucharski Email & Phone Number

I research complex social systems: urban mobility. Congested, urban multimodal networks used by millions of agents to reach their destinations and leaving huge sets of mobility traces ready to be applied for modelling, optimization, understanding and control.Currently, as an Assistant Professor in the Faculty of Mathematics and Computer Science of Jagiellonian University in Krakow (Poland) I am part of the Group of Machine Learning Research GMUM. I run the NCN Opus Grant on Shared Mobility in the pandemic times and build a team to research complex social systems of urban mobility within the DigiWorld scheme. We are looking for two prospective PhD students willing to research in Network Science and Behavioural Modelling in Kraków, Poland.Lately, I worked (2019-2021) with Oded Cats at TU Delft in his ERC Starting Grant Critical MaaS. I developed two-sided mobility platform models, specifcally focusing on ride-pooling (making people share their Uber with co-travellers). I did PhD with Guido Gentile (Rome) in non-equilibrium dynamic traffic assignment. In the interdisciplinary field of urban mobility I did research which can be classified as:* model estimation, optimization, system control, network design;* agent-based simulation, game-theory, network science, stochastic simulation, epidemic modelling;* machine learning, spatial analysis, big data analysis, pattern recognition, unsupervised learning;* behavioural modelling, economic discrete choice models, policy, sustainability.Outside of academia I was:* Data Scientist at NorthGravity developing AWS-based protfolio or real-time production ready ML solutions* R&D Developer at PTV SISTeMA implementing algorithms into PTV Optima real-time traffic forecasting models.* Transport Modeller at Department of Transportation Systems using travel-diaries to estimate demand models and create strategic planning tools, e.g. for Warsaw and Kraków

Listed skills include Transport Modelling, Visum, Public Transport, Vissim, and 18 others.