Martin Levine

Martin D. Levine received the B. Eng. and M. Eng. degrees in Electrical and Computer Engineering from McGill University, Montreal, in 1960 and 1963, respectively, and the Ph.D. degree in Electrical Engineering from the Imperial College of Science and Technology, University of London, London, England, in 1965. He is currently a Professor in the Department of Electrical and Computer Engineering, McGill University and served as the founding Director of the McGill Center for Intelligent Machines (CIM) from 1986 to 1998.


Ph.D. Students

Farzaneh Askari

Farzaneh received her BSc in Electrical Engineering from K. N. Toosi University of Technology in 2016. She completed her thesis-based MSc in Computer Engineering at the University of Denver in 2018. Her thesis was focused on studying facial expression recognition and imitation ability of children with Autism Spectrum Disorder in interaction with a social robot. She started her Ph.D. studies in Electrical Engineering at the McGill University in January 2019. Her research is focused on multi-modal penalty determination in hockey broadcast.

Seby Jacob

Seby is from Kerala, India. He completed is B.Eng (Hons) in Electrical and Electronics Engineering from BITS Goa. He followed this up by gaining experience in chip design and software engineering from Broadcom Corporation and Cisco Systems respectively. Subsequently, he finished his masters in Electrical and Computer Engineering from McGill University in 2019 in Automated Surveillance using Deep Learning. Seby is currently interested in the following fields of research: (i) Player detection and Tracking in Hockey; (ii) Multimodal Face-off summarization in Hockey; and (iii) Anomaly detection in Videos using Deep-Learning.

Zahra Vaseqi

Zahra is a PhD student at the Centre for Intelligent Machines (CIM) at McGill University. She has previously obtained her MSc and BSc degrees in Computer Science from Simon Fraser University and Amirkabir University, respectively. As part of her master's research, she investigated a logic-based paradigm to AI for anomaly detection. Prior to her PhD, she has spent a few years on developing software and machine learning algorithms for the gaming and telecom industries. Her current area of research is the multimodal analysis of videos using techniques from computer vision and NLP. She is interested in developing representation schemes for videos such that it facilitates recognition of actions and events in realistic settings.

M.Eng. Students

Grant Zhao

Grant completed his Honours B.Eng. Electrical program at McGill University in 2018 and is currently a M.Eng. Electrical (non-Thesis) student. He has internship experiences in both the software industry and academia. His current research interest is multiple object tracking (MOT) and deep learning.

Neo Yang

Neo is an M.Eng student in the Department of Electrical and Computer Engineering at McGill University. He completed his bachelor degree at Harbin Institute of Technology in 2018 and spent 4 months as an intern at Microsoft Research Asia. His research interests mainly focus on computer vision. His project is about detecting and tracking high-speed and small object (puck) in hockey broadcasts.

Rick Wu

Rick completed his B.Eng. Electrical at McGill University in 2018 and is currently a M.Eng. Electrical (Thesis) student. He has completed several internships in industry and has experience in software development and automation. His current research interests concern computer vision and deep learning, primarily focusing on video summarization in hockey broadcasts using multimodal learning.