I am a PhD student in Operations research and Machine learning at CERMICS, Ecole des Ponts ParisTech. With my advisors Frédéric Meunier and Axel Parmentier , we are working on the logistic of predictive maintenance.

This PhD focuses on the optimization of the logistic of predictive maintenance.

Device failures is one of the main sources of cost in the industry. It is notably the case for airlines, because if a failure occurs, flights must be canceled, which leads to costs that are often much higher than the price of replacing this equipment. The objective of predictive maintenance is to exploit available data to predict when the next failure will occur. Based on this information, the airline must schedule the next maintenance operations that are going to be done.

This problem can be formulated as a Partially Observed Markov Decision Process (POMDP). We study some methods to solve a POMDP with a Linear Program using probablistic graphical models.

Cohen, V., Parmentier, A. (2018). Linear Programming for Decision Processes with Partial Information . arXiv preprint arXiv:1811.08880.

Generalization of Markov Blanket to understand dependences in Graphical Models, JFRB , May 2018, Toulouse

Linear Programming for Influence Diagrams, ISMP , July 2018, Bordeaux

Linear Programming for Influence Diagrams, Conference on Discrete Optimization and Machine Learning , July 2018, Tokyo

Linear Programming for Influence Diagrams, PGMO days , November 2018, Saclay

Optimization for undergraduate students at Ecoles des Ponts Paristech

Operations Research for undergraduate students at Ecole des Ponts Paristech

I am a former student of Ecole des Ponts ParisTech . A detailed resume can be found here (English version) or here (French version).

Victor Cohen

CERMICS, École Nationale des Ponts et Chaussées

6 et 8, av. Blaise Pascal

Cité Descartes - Champs-sur-Marne

77455 Marne-la-Vallée cedex 2

France

E-mail: victor.cohen[at]enpc.fr