Nicolas Garneau

Candidat au doctorat en informatique
Université Laval

Ph.D. student in Computer Science, Université Laval

Nicolas Garneau is a Ph.D. student in Computer Science at Université Laval who has several years of experience in software development and data analysis. He specializes in the automatic natural language processing using deep neural network learning methods. He has had a foothold in industry throughout his academic career by applying his theoretical knowledge to real issues which businesses are facing.

Yannick Dufresne Research Thrust 4 - Ethics, Confidentiality and Social Acceptability

Collaborator

Université Laval
Faculty of Social Sciences
Department of Political Science

Teaching Leadership Chair (CLE) in Digital Social Sciences

Confidentiality Data Science Ethics and Law

Xavier Maldague Research Thrust 1 – Physical Environment

Collaborator

Université Laval
Faculty of Science and Engineering
Department of Electrical and Computer Engineering

Canada Research Chair in Multipolar Infrared Vision

Computer Vision Smart Environments

Véronique Guèvremont Research Thrust 4 - Ethics, Confidentiality and Social Acceptability

Member

Université Laval
Faculty of Law

UNESCO Chair on the Diversity of Cultural Expressions

Thierry Watine Research Thrust 4 - Ethics, Confidentiality and Social Acceptability

Collaborator

Université Laval
Faculté of Litterature and Human Sciences
Department of Information and Communication

Data Science Ethics and Law Internet of Things

Thierry Duchesne Research Thrust 3 - Methods of Artificial Intelligence and Data Processing

Member

Université Laval
Faculty of Science and Engineering
Department of Mathematics and Statistics

Data Science Geospatial Data Insurance Natural Language Processing

Thierry Badard Research Thrust 1 – Physical Environment

Member

Université Laval
Faculty of Forestry, Geography and Geomatics
Department of Geomatics

Director, CRDIG (Geospatial Data and Intelligence Research Centre)

Data Science Geospatial Data Insurance Internet of Things Machine Learning Smart Environments

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