PhD education is an essential driving force for IRT SystemX which develops doctoral work within its R&D projects. The institute allow its doctoral students to specialize in a promising field after ob-taining a Master’s or engineering degree. Supervised by researchers and teacher-researchers from our partner laboratories, by an IRT en-gineer-researcher and in contact with industrial players involved in themes such as Mobility and Autonomous Transport, Future Industry, Security and Defence, Environment and Sustainable Development, our PhD candidates are nurtured in an innovative and dynamic en-vironment, where they build up a solid network and develop unique expertise. Since its creation, the institute has supported more than 70 PhD students and has forged structural partnerships with several
The institute gave me the opportunity to work on a multidisciplinary R&D project with industrial players and academic experts
I wanted to make my contribution in this field by completing my doctorate at the institute.
What did you learn from your PhD at IRT SystemX?
The institute gave me the opportunity to work on a multidisciplinary R&D project with industrial players and academic experts in mobility and automobile construction. Their know-how and experience have enabled me to acquire a great deal of theoretical and practical knowledge in the fields of modelling new travel services, data analysis, transport user behavioural studies, optimisation, machine learning and programming.
What role did the institute play in your subsequent career?
The IRT is known for its expertise in emerging fields. It is thanks to this reputation and also with the help of the Institute’s Scientific Department that I was able to join Systra, a reference company in the transport sector and a SystemX partner. I currently hold the position of Business Manager, which consists of managing and ensuring the smooth running of transport planning study missions. I also work in the field of travel and transport system modelling.
Can you describe SystemX in 3 words?
Digital, Innovation, Collaboration.
What is the topic of your PhD research?
I am interested in the generation of scenarios for the learning and validation of a decision-making function for steering of autonomous vehicles. Scenario data collection driving in real-life situations (e.g. with regard to the number of lanes, surrounding vehicles or weather conditions) is very expensive. One solution is to automatically generate realistic scenarios, respecting the physical constraints of the environment and nearby vehicles, to meet the expectations of autonomous driving and cover as many situations as possible in order to anticipate potential hazards. To do this, I use adverse attack methods thanks to reinforcement learning algorithms. These methods refer to machine learning algorithms that attempt to “deceive” models (for example neural networks) by providing erroneous information. I am thus able, on the basis of existing scenarios, to generate new ones that can mislead the autonomous driver thanks to the various adverse attacks set up, while maximizing the loss function of the decision system taken between the two scenarios.
Why did you decide to do your PhD at IRT SystemX?
I did my Master 2 Data Science internship at the institute. It was therefore quite natural for me to want to continue my studies within the Data Science and AI team and to make the most of my skills in mathematics and computer science. The collaborations between the academic and industrial worlds within the institute are also very instructive. Moreover, autonomous driving is a cutting-edge area that I find particularly exciting because it is about to radically change the relationship between users and their vehicles. It is therefore essential to have enhanced safety and to avoid any failure of this type of vehicle. I wanted to make my contribution in this field by completing my doctorate at the institute.
Can you describe SystemX in 3 words?
Collaboration, Competence, Conviviality.