I joined IBM Research, Ireland Lab, Control and Optimisation Group, in September 2016.
At IBM, together with colleagues we are developing algorithms for automotive, smart mobility and IoT applications.
My current work focuses on:
- Machine Learning for driver behaviour estimation and prediction, both at the vehicle and network level.
- Design of control algorithms for the safe control of connected/automated vehicles. Applications include driver assistance systems, platooning systems.
- Design of algorithms for smart mobility applications. Current research features risk modelling, pollution monitoring, optimal traffic light control, competitive ride-sharing systems, IoT-enabled transportation systems.
- Physics-based AI and control applications, at any scale of the transport network.
I received the M.Sc. Degrees from ENTPE (Ecole Nationale des Travaux Publics de l'Etat) and INSA (Institut National des Sciences Appliquées), Lyon, France, in 2010, and the Ph.D. Degree from the University of Lyon, France, in 2013. Prior to joining IBM, I was with Trinity College Dublin, Ireland, as a research fellow. I was also with the Transport Services Quality Authority, Ministry of Transport, Paris, France, as a data analyst, with the Smart Transport Research Centre, Queensland University of Technology, Brisbane, Australia, with the California Center for Innovative Transportation, University of California, Berkeley, USA, and with the Advanced Mobility Research Center, the University of Tokyo, Japan, as a visiting researcher. I was awarded the 2014 Abertis national research Prize in France and the 2014 Abertis international research Prize for best doctoral thesis in transport engineering.