LITIS lab.
The LITIS laboratory (Laboratory of Computer Science, Systems and Information Processing) is one of the two public IT research laboratories in Normandy. It is under the supervision of the University of Rouen Normandy, the University of Le Havre Normandy and the INSA Rouen Normandy, and brings together nearly 80 tenured teachers-researchers from these institutions. The LITIS laboratory is also a member of the CNRS Federation NormaSTIC FR 3638 with the GREYC laboratory of Caen.
The LITIS laboratory is structured into 7 research teams, including the « Learning » (App) and « Multi-Agent, Interaction, Decision » (MIND) teams, involved in this project. Several of the research themes of the App team are related to the scientific issues of this project, specifically around deep learning. In particular, the team has a recognized experience in sequence processing , and semantic segmentation , based on representation learning, which will be considered for the different scientific work packages of this project. The MIND team’s research themes concern multi-agent systems, semantic technologies and human-computer interactions. In particular, the team’s work in affective computing has led to the modeling of behaviors in social networks, through three PhD thesis and the SAPhIRS project with Saagie. The results obtained relate in particular to sentiment analysis , the identification of key actors and thematic communities , in social media and on Twitter in particular.
Atmo Normandie
Atmo Normandie is one of the approved French air quality monitoring associations (AASQA). Its mission is to monitor and inform the public about air quality in Normandy. The association pursues an objective of general interest and participates in public policies on air quality, climate and energy. Atmo Normandie makes its expertise available to all stakeholders, particularly on industrial incidents/accidents since the event at Lubrizol in 2013. The association has participated in monitoring the environmental impacts related to the fire at Lubrizol and NL Logistique on 26 September 2019, both through air quality measurements and by monitoring odours and the perceptions of the inhabitants. On the subject of odours, for more than 40 years, and because of numerous requests on the subject, Atmo Normandie has integrated the monitoring of odour nuisances into its activity. With the support of France Chimie Normandie, Atmo Normandie has thus set up the Language of the Noses® method (registered trademark in 2016). Although not standardised, this approach has been adopted by all the players in Normandy: companies, local authorities, administrations, associations and citizens. Since 2013, the method has also been supported by the Seine Estuaire Chamber of Commerce and Industry (CCI) with the creation in 2015 of a group of inter-company Noses (around sixty salaried Nez and around fifteen companies). In addition to the Language of the Noses®, Atmo Normandie collects odour reports from citizens via a dedicated form on its website (www.atmonormandie.fr). Atmo Normandie uses the ODO platform (accessible via the www.atmo-odo.fr website and the smartphone application available on Android and iOS), developed by Atmo Hauts-de-France, to collect, geolocate and map odour reports.
Saagie
Saagie is the commercial name of CREATIVE DATA SAS, founded in 2013 to support its customers in the realization of Big Data and Artificial Intelligence (AI) projects. It publishes a B2B software platform solution that integrates the best technologies of the moment around a Plug & Play orchestrator supporting the DataOps methodology and allowing to embed artificial intelligence components to meet multiple use cases in various and varied fields of applications.
Today, Saagie is composed of a multidisciplinary team of 90 people located in Rouen, Paris, New York and London. The company is part of the « French Tech 120 » selection and announced in June 2020 a €25 million fundraising which demonstrates the confidence of investors. This new financial contribution will be dedicated to international development and continued investment in the product.
The company has an R&D center and develops advanced skills in statistical learning with deep neural networks (Deep Learning) on multi-source and multi-format data with a limited number of labeled data for training algorithms (weakly supervised learning). To strengthen its research potential, Saagie has joined forces with LITIS within the joint laboratory L-LiSa which has just been recognized by the ANR as part of the LabCom program.