Research teams

CRIM puts at your disposal four highly qualified teams of experts.

Advanced Software Modeling and Development

Advanced Software Modeling and Development

The Advanced Software Modeling and Development team of CRIM specializes in the development of methods and prototype tools to help system and distributed software designers improve the quality and security of their products while decreasing development time.
Emerging Technologies and Data Science

Emerging Technologies and Data Science

The Emerging Technologies and Data Science team develops and maintains a cutting-edge expertise, particularly in the areas of the Web, mobile technology, advanced analytics, Big Data and the development of collaborative platforms. The team’s mandates are mainly geared towards the development of customized technologies, in collaborative mode.
Speech and Text

Speech and Text

The Speech and Text team at CRIM offers various services for data processing and interpretation in fields such as real-time closed-captioning, exploitation of large datasets, multimedia indexing, information protection, audio signal analysis and segmentation, voice biometrics and natural language processing.
Vision and Imaging

Vision and Imaging

The Vision and Imagery team specializes in the digital analysis and processing of visual information arising from various sources. It develops algorithms and customized software solutions for any type of control, tracking, exploration, recognition or diagnosis application that requires automated handling and interpretation of visual data in images or videos.

Recent news

  • Blogue du CRIM - Manipuler les variables catégoriques dans un jeu de données
    12/07/2018

    Dans cet article, Farooq Sanni et Martin Sotir nous présentent différentes méthodes et astuces pour gérer les variables catégoriques.

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Upcoming event

  • QRS - SSCPS - IA 2018
    20 July 2018 0:00
    Lisbonne, Portugal
    Le CRIM présentera trois articles scientifiques au QRS 2018.
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Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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