Scholar
Philippe Giguère
Google Scholar ID: tgZPkzkAAAAJ
Professor, Computer Science, Laval University, Norlab, DAMAS, CerVIM, REPARTI, CRDM, FORAC, IID
Citations & Impact
Citations
3,735
H-index
28
i10-index
47
Publications
20
Co-authors
38
list available
Contact
Publications
Resume (English only)
Academic Achievements
- He is a member of the FRQNT-REPARTI network on intelligent environments, the Centre de recherche en robotique, vision et intelligence machine (CerVIM), and the center for big data (CRDM) of Laval University.
Research Experience
- Teaching: GLO-4030/7030 Deep Neural Network Learning (Winter 2020); GLO-4001/7021 Introduction to Mobile Robotics (Fall 2019); GLO-2001 Operating Systems; GLO-3013 Multidisciplinary Design Project.
Background
- Philippe Giguère has been an Associate Professor at the Department of Computer Science and Software Engineering at Laval University (Québec City) since 2010. He has 15 years of experience in mobile robotics and sensing in academia, and 6 years of experience in embedded, real-time systems in the private industry. His main research focus is to enhance the autonomy of intelligent robotic systems deployed in challenging and unstructured environments (forest, harsh weather, underwater) through the application of advanced machine learning techniques or sensor fusion. His recent research areas include 3D localization and mapping with LiDAR, grasping, Deep Learning in computer vision (2D/3D), and terrain identification.
Miscellany
- Personal interests are not explicitly mentioned.
