Ali Etemad
Lab Director
Assistant Professor
Queen's University

For more info, please visit this link.

Gelareh Hajian
Postdocoral Fellow

Gelareh is a Postdoctoral Fellow at Aiim. She is co-supervised by Prof. Morin. Her work is focused on EMG analysis with machine learning. She previously completed her PhD at Queen's University.

Behnam Behinaein
Postdoctoral Fellow

Behnam is a Postdoctoral Fellow at Aiim. He works on machine learning and deep learning in the context of wearable time-series data. He received his PhD from Queen’s University.

Mohsen Zand
Postdoctoral Fellow

Mohsen is a Postdoctoral Fellow and is co-supervised by Prof. Greenspan. His area of research is computer vision with deep learning, namely object detection and human activity analysis.

Vandad Davoodnia
PhD Student

Vandad works on pose estimation with deep learning, based on cameras and pressure sensors. He received his BSc from Sharif University, Iran.

Amirhossein Hajavi
PhD Student

Amirhossein is a PhD candidate working on speech and speaker analysis with deep learning. He was previously at the University of Tehran.

Guangyi (Patrick) Zhang
PhD Student

Patrick is a PhD student working on wearable EEG representation learning. He previously completed his Master's at Queen's University.

Saeed Ghorbani
PhD Student

Saeed is a PhD candidate working on pose/motion analysis and computer vision, and is co-supervised by Prof. Niko Troje (Centre for Vision Research, York University). He was previously at University of Wollongong, Australia.

Prithila Angkan
PhD Student

Prithila is a PhD student working co-supervised by Prof. Hungler. She works on wearable EEG representation learning. She previously completed her Master's at Queen's University.

Mojtaba Kolahdoozi
PhD Student

Mojtaba is a PhD student. His main research interest lies primarily in face and expression analysis. He was previously at Iran University of Science and Technology, Iran.

Pritam Sarkar
PhD Student

Pritam is a PhD student and works on self-supervised learning. He completed his MASc at Queen's University and in the Aiim Lab. More information about his work can be found here.

Haleh Damirchi
PhD Student

Haleh works on computer vision and pedestrian analysis. She is co-supervised by Prof. Greenspan. She completed her Masters at Amirkabir University of Technology, Iran

Mahdiyar Molahasani
PhD Student

Mahdiyar works on pedestrian analysis with deep learning. He is co-supervised by Prof. Greenspan. He completed his masters at University of Saskatchewan, Canada.

Shuvendu Roy
PhD Student

Shuvendu is an MASc student working primarily in affective computing. He was previously at Khulna University of Engineering & Technology, Bangladesh.

Setareh Rahimi
MASc Student

Setareh is a MASc student at the lab. She works on activity analysis with wearables. She received her BSc from Amirkabir University of Technology, Iran.

Leyla Khaleghi
MASc Student

Leyla works on gesture recognition with deep learning. She is co-supervised by Dr. Joshua Marshall (Department of ECE). Leyla received her BSc from Amirkabir University of Technology, Iran.

Anubhav Bhatti
MASc Student

Anubhav is an MASc student working on deep multi-modal representation learning for wearable-based affective computing. He is co-supervised by Prof. Hungler. He was previously at National Institute of Technology Srinagar.

Sahar Soltanieh
MASc Student

Sahar is an MASc student working on ECG analysis with deep learning for health applications. She is co-supervised by Prof. Hashemi. She completed her undergraduate studies at the University of Tehran.

Zunayed Mahmud
MASc Student

Zunayed is an MASc student. His main research area is gaze estimation with deep learning for affective computing and adaptive simulation. He completed his BSc at BRAC University.

Divij Gupta
MASc Student

Divij is working toward his MASc. His research area is remote heart rate monitoring with deep learning. He was previously at Indian Institute of Technology (IIT), Jodhpur. More information about his work can be found here.

Sayantan Das
MASc Student

Sayantan is working towards his MASc. His research is on editable GANs. He was previously at West Bengal University of Technology. More information about his work can be found here.