Vincent LAURAIN Homepage

 
 

Is it possible to understand something unknown by just looking at what comes in and out of it? Maybe not, but this is what I am trying to do by developing system identification methods dedicated to dynamical nonlinear systems and more precisely environmental systems.


Among the infinite classes of nonlinear models, my research focuses on the identification in practical conditions of Linear Parameter Varying (LPV) models and Hammerstein models and their application to the modelling of rainfall/flow in agricultural catchments. These issues are essential for a better understanding of our environment and future infrastructures design with regards to water pollution or flood forecasting.



 

Research Interests

System Identification

Medical Image Processing

Your eyes combined to your brain are a very powerful tool.  Able to recreate 3D images and recognize any shape. How can you know that this earth globe in the corner is actually a lamp? How can you say that this dog you have never seen before is actually not a cat?


Well, answering these questions can be important if you are trying to develop segmentation algorithms for medical purposes. How do you recognize a cell? How do you know this is a tumor? Describing things with a very simple set of relevant features is actually a complex exercise.


Nonetheless it is worth it if you think in terms of helping medical doctors for diagnosis, or for in vitro fertilization. My research in this domain mostly focuses on segmentation of confocal microscopy images and 3D ultrasound images.


Phone: +33 (0) 3 83 68 50 48

Email: vincent.laurain

Coordinator of the french Identification network: GT Identif

Address:

                         Centre de Recherche en Automatique de Nancy(CRAN)

                          Université de Lorraine, 

                           ESSTIN- 2 rue Jean Lamour

                           54506 Vandoeuvre-les-Nancy CEDEX

                           France

Vincent Laurain, Associate Professor

Born 1980