Romain Raveaux

*Romain Raveaux*: In 2006, he obtained two M.Sc., one in networking and telecommunication and another one in computer sciences from the University of Rouen (France). From 2006 to 2010, he had worked on his Ph.D. Thesis at the L3I laboratory of the University of La Rochelle. Since 2011, he is an Associate Professor at the computer sciences lab LIFAT of the University of Tours. In 2019, he received the habilitation to be director of PhD thesis (HDR) from the University of Tours. His work concerns the structural pattern recognition, proposing contributions related respectively to supervised graph classification and graph matching. Especially, a focus is given on similarity and dissimilarity computation on graphs. His work is applied to image analysis problems for object recognition and detection as well as molecule classification (Chemoinformatics). His scientific course is at the confluence of two research areas: combinatorial optimization and machine learning. Results and contributions of its research works have already been published in the forms of 3 theses and more than 40 research papers including 15 International Journals and 25 International conferences and workshops. Along his research activities, he has built strong collaboration with other research laboratories/universities at national and international levels. Accordingly, he has an active collaboration with 3 national laboratories/universities in France and one international collaboration with an Australian laboratory. As a lecturer, teaching assistant and associate professor, he has conducted teaching at different universities and institutions. He was a lecturer for the International Master of Research in Computer Science: Computer Aided and Decision Support at the University of Tours. **Keywords:** - Computer vision - Machine Learning - Structural Pattern Recognition - Graph matching - Graph neural network - Discrete optimization - Reinforcement learning / Transfert learning **I'have got a GitLab :** **Git:** <https://gitlab.com/romain.raveaux> **My research work in three presentations:** 1. Graph matching and classification from combinatorial optimization and machine learning viewpoints ([PDF](<http://romain.raveaux.free.fr/document/presentation romain raveaux OR and ML graph matching graph classification.pdf>)). 2. Biodiversity estimation trough insect image classification ([PDF](http://romain.raveaux.free.fr/document/acivpresentation.pdf)). 3. Document image quality assessment ([PDF](<http://romain.raveaux.free.fr/document/Estimating quality of documents.pdf>)). **Contact** : romain.raveaux@univ-tours.fr I – Research Activity ===================== I am a researcher at the Computer Science laboratory of Tours (LIFAT). A – Center of Interest ---------------------- - Computer Vision (Detection, Recognition, Tracking) - Machine learning (Learning theory, Mathematical modelling, Graph neural network, Reinforcement learning) - Discrete optimization (Mathematical programming, Branch and bound, Matheuristics) B - Research projects (2 topics) -------------------------------- ### Topic : Environnement **CARAMBA** project (Regional project 2016-2019) : Entomology has had many applications in many biological domains (i.e insect counting as a biodiversity index). To meet a growing biological demand and to compensate a decreasing workforce amount, automated entomology has been around for decades. This challenge has been tackled by computer scientists as well as by biologists themselves. Views are adopted on image capture, feature extraction, classification methods and the tested datasets. Tasks: - Image capture - Image recognition Publication : 2 journal papers and 2 conference papers. Presentation : French [poster](http://romain.raveaux.free.fr/document/posterinsectorasis.pdf) (Orasis 2017) and Presentation in English : [Effective Training of Convolutional Neural Networks for Insect Image Recognition](http://romain.raveaux.free.fr/document/acivpresentation.pdf). ### Topic: Digital humanities and documents **VISIT** project : In 2019, I was involved in setting up a research project of regional interest called VISIT. This project has been accepted. A post-doc will work for a year and a half on the development of an incremental algorithm for recognizing and indexing geo-localized images. In collaboration with the castle of Loche . **DOD** project : in 2014-2015, I was in charge with Donatello Conte (LIFAT) of a work package named Document Image Quality Assessment of a project called Document Image Compression in relation with ITSOFT company. Publication : 2 journal papers and 2 conference papers. Presentation : [Estimating quality of documents](<http://romain.raveaux.free.fr/document/Estimating quality of documents.pdf>) (2015). ITESOFT Aimargues. **ALPAGE**: From 2006 to 2010, the framework of my thesis was part of the ALPAGE project. Diachronic AnaLyse of Urban Space PArisian: GEomatic approach: ALPAGE is a research program, initiated in 2006, thanks to the support of the National Research Agency. Based on the association of 4 laboratories, and the collaboration of many other partners (Historian, Geomatics, …). II - Teaching ============== I am a teacher at Polytech’Tours engineering school of the university of Tours. **Networking**: 127 h per year (Level L3) from 2013 to 2019. **Mobile programming**: 36 h per year (Level M2) from 2013 to 2019. **Multimedia systems**: 18 h per year (Level M2) from 2013 to 2019. **Python and data science**: 38 h per year (Level L2) from 2016 to 2019. **System programming**: 12 h per year (Level L3) shell, fork, shared memory, pthread, semaphore. From 2012 to 2014. **Pattern recognition**: 8h per year (Level M2) from 2015 to 2017. **Industrial Networking**: 12h per year. CAN protocol (Level M1) from 2015 to 2017. **C for microcontroller**: 10h per year (Level M1) from 2015 to 2017. More demos and materials on my [website](http://romain.raveaux.free.fr).