An Initiative of

Supported by


Julien Baudru

AI Algorithms

Artificial Intelligence

Data Science

Decision Support

Multi-agent systems

Artificial Intelligence


Julien Baudru is a PhD candidate at the FARI institute and at the Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificelle (IRIDIA) of the Université Libre de Bruxelles. After his bachelor’s degree, he completed his master’s in Computer Science with a specialization in artificial intelligence and algorithms at the Université Libre de Bruxelles. His current research focuses on the optimization of multi-modal transport. The idea of multi-modal routing is to adapt the famous shortest path problem to road networks combining several modes of transport. One way of achieving this is to construct the network as a layered structure, where each layer corresponds to a mode of transport. Thus, the ultimate goal of this research will be to find a solution to this mobility problem by including the notions of time, price and ecological impact. The second underlying objective of this research is to enable users of car-sharing solutions to optimize their trips. This is where this project comes into its own for the common good, by designing algorithmic solutions to ultimately reduce the ecological impact of transport, first in Brussels and then, we hope, everywhere.


Julien Baudru publications

All publications

All publications