Jaël Champagne Gareau

Jaël Champagne Gareau

PhD Student in Computer Science

Université du Québec à Montréal

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

Markov Decision Processes
This project aimed at finding different ways to improve (SSP-)MDP planners performance when considering computer architectures (e.g., cache-memory, parallelism)
Markov Decision Processes
Electric Vehicles Planning
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.
Electric Vehicles Planning

Recent Publications

(2023). Cache-Efficient Dynamic Programming MDP Solver. ECAI 2023.

PDF Cite Code Project Poster Slides DOI Supplementary Material

(2022). Cache-Efficient Memory Representation of Markov Decision Processes. Canadian AI 2022.

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(2022). pcTVI: Parallel MDP Solver Using a Decomposition Into Independent Chains. IFCS 2022.

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(2021). A Fast Electric Vehicle Path-Planner Using Clustering. IFCS 2019.

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Contact