I am currently a Ph.D. student at Université Laval in the Northern Robotics Laboratory (Norlab). I mostly work on applying deep learning techniques in innovative ways to solve problems in mobile robotics and autonomous systems. In addition to my research, I am a teaching assistant at Université Laval for graduate-level courses: GLO-7030: Apprentissage par réseaux de neurones profonds and GLO-7021: Introduction à la robotique mobile. I am also a Candidate to the engineering profession (CEP) in Canada and an inventor.

• Deep learning
• Robotics
• Computer vision
• Machine learning
• Programming languages

• Ph.D. in Computer Science, Research in Deep Learning and 3D sensors for autonomous vehicules @ Université Laval (2023-...)
• Master's Degree in Computer Science, Research in Deep Learning and 3D sensors for autonomous vehicules @ Université Laval (2021-2023)
• Bachelor's Degree in Software Engineering, distinction profile @ Université Laval (2017-2021)

Graduate-level course on deep learning (Apprentissage par réseaux de neurones profonds)

• TAing for practical lab sessions
• Production of new pedagogical material for the course
• Correction and management of the correction team
• Overseeing the operation of a computing cluster dedicated to the course

Graduate-level course on mobile robotics (Introduction à la robotique mobile)

• TAing for practical lab sessions
• Production of new pedagogical material for the course
• Correction and management of the correction team
• Migrating laboratory code to a simulator using ROS and Gazebo during the pandemic
• Migrated back to real robots using ROS2. Integration of multiple sensors. Built an abstraction layer on top of ROS for the labs.
• Taught a class on Kalman filters

Undergraduate-level course in which the students have to develop a robot autonomously solving various tasks (Projet de conception multidisciplinaire)

• Participated in the course redesign
• Build an autonomous robot using ROS2
• Using LiDAR for autonomous navigation

• New pedagogical material about Bash scripting and Docker
• Improvements to existing courses
• Ateliers en développement logiciel
• Atelier - Écriture de scripts et automatisation de tâches de développement logiciel
• Atelier - Conteneurisation de projets de développement logiciel avec Docker

Introduction aux processus du génie logiciel

• Correction of programming homeworks axed on the software engineering process and software architecture
• Tutoring for teams
• Building new course material
• Exercice TDD String Calculator (Version courte)
• Refactoring
• Prepared a class on testing in software engineering

• Application of deep learning to LiDAR data
• Object detection
• Point cloud processing
• Domain adaptation

• Patent: Côté S and Guimont-Martin W, "Aerial Cable Detection and 3D Modeling from Images"
• Applied research
• Computer vision
• Worked on applying AR and VR to infrastructure workflows
• Photogrammetry

• Applied research
• Computer vision
• Analysis of ultrasound inspection data
• Visualization of 3D ultrasound data

• Computer vision
• Automation of industrial machines
• Programmable logic controller (PLC)
• Robotics

• Teach programming and robotics to secondary school students

Here are some of my profiles on the web:

• GitHub
• YouTube
• LinkedIn
• Thingiverse
• Cults3d
• Instagram
• ResearchGate
• Mastodon