Benoit Boulet, P.Eng., Ph.D.
Di Wu, Ph.D.
Adjunct Professor, @ McGill Electrical & Computer Engineering
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. Candidate
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. Candidate
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.
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. Student
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.
Yuwei Fu – Ph.D. Student
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. Student
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 – Master 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.
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.