Benoit Boulet, P.Eng., Ph.D.

Lab Director

Director, McGill Engine
Professor @ McGill Electrical & Computer Engineering

Member @ McGill Centre for Intelligent Machines
Member @ REPARTI Strategic Cluster
Board Member @ Mila @MIAE

Di Wu, Ph.D.

Associate Lab Director

Adjunct Professor, @ McGill Electrical & Computer Engineering

Postdoctoral Fellows

Sayani Seal, Ph.D.

Ph.D. in Electrical and Computer Engineering, McGill University, Canada. Under the supervision of Prof. Benoit Boulet and Dr. Vahid R. Dehkordi (Research Engineer at CanmetENERGY-Varennes, NRCan)

M.Sc. in Electrical Engineering from Indian Institute of Engineering Science and Technology (IIEST), Shibpur, India.

B.Eng in West Bengal University of Technology, Kolkata, India.

Her research interests include model predictive control (MPC), data-driven MPC using machine learning, cost-effective building climate control, sustainable residential energy management system with stationary and mobile (electric vehicles) energy storage units.


Mostafa Darabi, Ph.D.

MSc in Electrical Engineering- Power Electronics, Purdue University, USA

BSc in Electrical Engineering, Purdue University, USA  

Mostafa’s research interest is in designing a robust closed-loop system for industrial applications. He developed a robust in-cycle controller in the Smith predictor configuration for the delayed input dependent extrusion blow molding process. His research work resulted in the US Patent Application “Method and System for Regulating an Extrusion Process”.

Qiyun Dang – Ph.D. Candidate

MSc Electrical Power, Viterbi School of Engineering, University of Southern California, USA

BSc Electrical Engineering, University of Electronic Science and Technology of China, China

Qiyun’s research interests include renewable energy integration in power grids and charging strategies for battery electric vehicles (EV).

Asal Zabetian – Ph.D. Candidate

MSc in Electrical Engineering- Power Electronics, Washington State University, USA

BSc in Electrical Engineering, Ferdowsi Univesity of Mashhad, Iran

Her research interest is in the control design for EV charging stations and DC microgrids. She has expertise in the advanced control design for power electronic converters and hardware-in-loop (HIL) implementation of energy management systems and battery management systems.

Marc-Antoine Beaudoin – Ph.D.

MASc, Mechanical Engineering , University of Toronto, Canada
Thesis supervisor: Prof. Kamran Behdinan.

B.ing, Mechanical Engineering, Université de Sherbrooke, Canada

Prior to beginning this PhD, he worked in the electrical vehicle industry, where he led the development of a vehicle prototype from the ground up. He currently researches the machine learning control of dynamical systems, with a particular focus on safety guarantees. His application field is electrical vehicle powertrains. He also seeks to enhance the performance of these systems by identifying fundamental limitations that originates from their dynamics.

LinkedIn: https://www.linkedin.com/in/marcantoinebeaudoin/

Website: www.mabeaudoin.com

Jilan Samiuddin – Ph.D. Candidate

Msc in Electrical and Computer Engineering, University of Calgary, Canada

Bsc in Electrical and Electronic Engineering, American International University, Bangladesh

Jilan’s research is primarily focused on Machine Learning algorithms with the motivation of developing novel strategies to tackle uncertainties in real-life problems. His research aim is eventually to generalize algorithms for wide range of applications, currently he is focusing on using autonomous vehicles as a testbed to examine his findings.

Xingshuai Huang – Ph.D. Candidate

Msc in Automotive Engineering, Beihang University, China

Bsc in Automotive Engineering, Beihang University, China

Xingshuai had a half year of research experience in the Institute for Automobile Research at Polytechnic University of Madrid, Spain. Currently, his research mainly focuses on intelligent transportation and time series prediction applications with the utilization of state-of-the-art deep learning and reinforcement learning techniques.

LinkedIn: https://www.linkedin.com/in/xingshuai-huang-132a71194/

Yuwei Fu – Ph.D. Candidate

Msc in Computer Science, Fudan University, China

Bsc in Physics, Fudan University, China

Yuwei has a broad interest in reinforcement learning and machine learning. His primary research goal is to develop sample efficient RL algorithms that are practical in solving real-world problems.

Huiliang Zhang – Ph.D. Candidate

M.Sc. in Electrical Engineering and Computer Science, Peking University, China.

B.Eng in Electrical Engineering, Xidian University, Xi’an, China.

Huiliang’s primary research interests lie in the area of applied machine learning and machine learning methods for smart home energy management.

Elise (Jiuqi) Zhang – Ph.D. Student

Bsc in Theoretical and Applied Mechanics, Peking University, China

Elise was born and raised in Beijing, China. Having received her Bachelor’s degree in Theoretical and Applied Mechanics from Peking University, she joined McGill IA Lab in fall 2020 to pursue her M.Sc. degree. Her current research interests include deep neural networks and the applications of generative models.

Francois Dube – Master Student

B.ing, Mechanical Engineering, Université de Sherbrooke, Canada

Francois has been working at Tesla Motors and Nordresa before starting his masters. His research interest is implementing deep learning architectures to electric vehicles to create novel controls architecture without impacting safety. Francois is also a registered Professional Engineer (P.Eng.) in the province of Quebec, Canada.

LinkedIn: https://www.linkedin.com/in/dubefrancois/

Xijuan Sun – Undergraduate Intern

Xijuan is a U1 student from faculty of science, McGill University. Her major is statistics and computer science, and the interested research area is AI, machine learning, and biotechnology. Recently, she is keen on fast anormaly detection via few shot learning. She likes the interdisciplinary research between computer science and biology.

Research Project: External Artificial Pancreas at McGill IALab.

Visiting Scholars

Year: 2021

Name: Wenbin Song (Ph.D.)

Topic: Early Fault Detection and Remaining Useful Life Prediction for Rotating Machine