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RIVIERE Marc-Aurèle

RIVIERE Marc-Aurèle

Research Collaboration

Research
Cognitive Neurosciences
Human-Machine Interaction
Computer Vision
Data Science
33 ans
Permis de conduire
Rouen (76) France
En poste Ouvert aux opportunités
PhD student in Computer Science & Cognitive Neuroscience, I design and develop innovative wearable devices to assist Visually Impaired People, leveraging advances in Computer Vision and Human-Machine Interfaces to improve their QoL, autonomy, and safety.
CV réalisé sur DoYouBuzz

PhD in Cognitive Sciences

University of Rouen-Normandy

Novembre 2016 à 2020
♦ [Cognitive Neurosciences] - Perception, Spatial Cognition, Navigation
♦ [Computer Sciences] - Computer Vision, Sensor Fusion, Wearable devices
♦ [Experimental Psychology] - User studies, A/B testing, Statistical analysis
♦ [Transversal] - Research project management, Research grant writing, Pedagogy, Communication
Modules, options, contenu des cours

MsC in Cognitive Sciences

PHELMA - Grenoble INP

2015 à 2016
♦ [Machine Learning] - Bayesian Modeling, Deep Learning, Optimization
♦ [Neuroscience] - Vision, Attention, Language, Memory & Learning models
♦ [Psychology] - Developmental, Cognitive, Experimental, & Behavioral studies
Modules, options, contenu des cours
  • The Cognitive Sciences master’s strength rests in its interdisciplinary approach, combining theories and techniques of Engineering and Information Processing Sciences with knowledge and research problematics from Social Sciences. Thanks to its multidisciplinary approach, this curriculum leads to professional opportunities in very diverse sectors such as Information Science and Technology, Mathematical modeling, Machine Learning, Neuroscience and neuro-imagery, Human-Machine Interaction, Interfaces, and Cognitive Robotics.

International Computer Vision Summer School

University of Catania

2017
♦ Computer Vision
♦ Deep Learning
Modules, options, contenu des cours
  • The International Computer Vision Summer School aims to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The last decade has seen a revolution in the theory and application of computer vision and machine learning. In this edition, we look at the emerging Computer Vision topics after Deep Learning revolution.

    The courses will be delivered by world-renowned experts in the field, from both academia and industry, and will cover both theoretical and practical aspects of real Computer Vision problems as well as examples of their successful commercialization.
♦ [Social & Organisational Psychology] - Risk & Change management, Persuasive communication, Motivation, Work Ergonomics, Personality assessment
♦ [Human Resources] - Recruitment, Skill assessment, Occupational health
Modules, options, contenu des cours