Ali is the Director of Amii, and an Assistant Professor at the Department of Electrical and Computer Engineering (ECE), Queen's University. You can visit his website at: www.alietemad.com
Saeed is a PhD candidate working on computer vision for virtual and augmented reality, and co-supervised by Prof. Niko Troje (School of Neuroscience). He was previously at Sharif University, Iran, and University of Wollongong, Australia.
Gelareh is a PhD candidate working on bio-signal and motion analysis, and co-supervised by Prof. Evelyn Morin (Department of ECE). She received her MASc from Razi University.
Will works on deep learning with mobile devices for health applications. He is co-supervised by Prof. Kevin Woo (School of Nursing). Will received his BSc from Queen's University.
Arthur is an MASc student at the lab. His research is on machine learning and in collaboratin with Innovapost. He was previously at Universidade Federal de Campina Grande in Brazil.
Vandad works on affective computing with machine learning, wearable technologies, and IoT systems. He received his BSc from Sharif University, Iran.
Kyle is an MASc student working on adaptive and intelligent virtual and augmented reality. He is co-supervised by Prof. Paul Hungler (Department of Chemical Engineering) and was previously at Queen's.
Tedd is an accelerated MASc student, working on using machine learning on speech and posture analysis. He has been a student at Queen's for his BSc. He is co-supervised with Jim Hamilton from the School of Business.
Amirhossein is a PhD candidate working on speech analysis using machine learning and deep learning. He was previously at the University of Tehran.
Patrick is a PhD student working on EEG analysis with machine/deep learning for interactive IoT applications. He previously completed his master's at Queen's University.
Pritam is an MASc student and works on wearable-based bio-signal analysis with machine learning. He was previously at West Bengal University of Technology, India.
- Monet Slinowsky, NSERC Undergraduate Student Research Awards (USRA), 2018
- Xiaoyi (Sean) Wang, Visitng Student, 2018