Biography
I am currently a Computer science PhD candidate at Université du Québec à Montréal (UQAM). My Master’s research focused on planning algorithms for electric vehicles (EV) to find the optimal path between two points such that the total journey time (including the travel time, charging time and expected waiting time at the charging stations) is minimized.
Download my résumé .
Interests
- Artificial Intelligence
- Automated Planning
- Data Structures and Algorithms
- High-Performance Computing
Education
PhD in Computer Science, 2024
Université du Québec à Montréal
MSc in Computer Science, 2019
Université du Québec à Montréal
Certificate in software development, 2017
Université du Québec à Montréal
BSc in Pure Mathematics, 2016
Université du Québec à Montréal
Projects
This project aimed at developping optimal coverage path-planning algorithms. As futur work, we also plan on developping a CPP planner that considers energetic constraints, uncertainties, as well as dynamic environments.
This project aimed at finding different ways to improve (SSP-)MDP planners performance when considering computer architectures (e.g., cache-memory, parallelism)
This project aimed at creating an EV planner that considers not only the travel time and charging time, but also the waiting time at the charging stations.
Recent Publications
(2024).
Towards Topologically Diverse Probabilistic Planning Benchmarks.
IFCS 2024.
(2024).
Increased Plan Stability in Cooperative Electric Vehicles Path-Planning.
ICAPS'24 HAXP Workshop.
(2023).
Cache-Efficient Dynamic Programming MDP Solver.
ECAI 2023.
PDF Cite Code Project Poster Slides DOI Supplementary Material
(2023).
Fast and optimal branch-and-bound planner for the grid-based coverage path planning problem based on an admissible heuristic function.
Frontiers in Robotics and AI.
Contact
- champagne_gareau.jael@uqam.ca
- (514) 826-3867
-
201, Avenue du Président-Kennedy, PK-4285
Montréal, QC
H2X 3Y7
Canada - DM Me