Marc-Antoine Beaudoin, P. Eng., PhD

I am passionate about the development of new technologies. As a manager with strong technical skills, I guide teams across the R&D spectrum—from applied research to engineering product development. For my PhD, I researched the machine learning control of dynamical systems, with a focus on electric and autonomous vehicles.


📍 Montreal, Qc, Canada | ✉️ ma.beaudoin [at] mail.mcgill.ca

Publications

Peer-reviewed journal articles [scholar]
Structured learning of safety guarantees for the control of uncertain dynamical systems
Marc-Antoine Beaudoin, Benoit Boulet
IEEE Transactions on Intelligent Vehicles,
(accepted Jan 29, 2022). [publisher] [arXiv]

Learning-based synthesis of robust linear time-invariant controllers
Marc-Antoine Beaudoin, Benoit Boulet
IEEE Transactions on Intelligent Vehicles, (
accepted Apr 19, 2022). [publisher] [arXiv]


Improving gearshift controllers for electric vehicles with reinforcement learning

Marc-Antoine Beaudoin, Benoit Boulet

Mechanism and Machine Theory, 169, 104654, 2022. [publisher] [arXiv]


Fundamental limitations to no-jerk gearshifts of multi-speed transmission architectures in electric vehicles
Marc-Antoine Beaudoin, Benoit Boulet
Mechanism and Machine Theory 160, 104290, 2021.
[publisher] [arXiv]

Analytical lump model for the nonlinear dynamic response of bolted flanges in aero-engine casings
Marc-Antoine Beaudoin, Kamran Behdinan
Mechanical Systems and Signal Processing 115, 14-28, 2019. [publisher]

Theses
Machine learning control of dynamical systems in electric and autonomous vehicles
PhD thesis, McGill University, 2022. [final submission]

Nonlinear dynamic analysis of bolted flanges in aero-engine casings
MASc thesis, University of Toronto, 2018. [repository]

Patents
I am (co)inventor on three patent applications pertaining to electric vehicles.
US20220034385A1: Vehicle transmission system and method for operation of the transmission system
US20220032999A1: Steering assembly with sliding middle link
US20220032787A1: Systems and methods for an electrified heavy-duty vehicle

Education

PhD, McGill University, Electrical Engineering (2022).
Intelligent Automation Lab: Prof. Benoit Boulet.
Grad courses: Mathematical
foundations of systems, Linear systems, Robust control, Applied machine learning.

MASc, University of Toronto, Mechanical Engineering (2018).
ARL-MLS: Prof. Kamran Behdinan.
Grad courses: Theory of vibrations, Solid mechanics, Design optimization, New product innovation.

B.ing, Université de Sherbrooke, Mechanical Engineering (2015).
Notable project: in Project Beyond we built an ultra-efficient electric vehicle. We placed first at the Shell Eco Marathon Americas 2016; we also took home the Best Design Award.

Industry

Lion Electric, Project Manager – Advanced Engineering (2022–present)
Manage battery-related R&D projects.

Nordresa (Dana Inc.), Project manager (2018-19)
Managed t
he development of an electric delivery vehicle.

Bombardier Transportation, Intern Structural Engineer (2013 & 2014)
Designed and analyzed parts for passenger trains
.

Heroux-Devtek, Intern Mechanical Engineer (2012)
Designed parts for aircraft landing gears.

Engineering design

A sample of my non-industrial engineering design projects can be found here.