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			Dana Kulić Associate Professor
			Brandon J DeHart Ph.D. Candidate Brandon completed his M.A.Sc. in Electrical and Computer Engineering at the University of Waterloo in 2011. His research focused on two areas: developing a framework for the interconnection of cellular automata, and the design of embedded control systems for large-scale interactive art installations. His PhD research is focused on the development of reliable gait control strategies for humanoids and other bipedal robots. His research is co-supervised by Prof. Rob Gorbet.
			Jonathan Lin Ph.D. Candidate Many of the tasks regularly performed by physiotherapists during a rehabilitation session are repetitive and can be performed by automated means. The goal of Jonathan's research is to detect patient movement and compare it against the proper motions prescribed by the physiotherapists, allowing them to focus on diagnosis, treatment planning and patient care.
			Terry Taewoong Um Ph.D. Candidate Terry completed his B.S and M.S. in Mechanical and Aerospace Engineering at the Seoul National University in 2008, 2010, respectively. He also worked at LIG Nex1 and Korea Institute of Science and Technology (KIST) until 2014. His previous research was on robot motion planning and power-assist exoskeleton. In his Ph.D. study, he is focusing on introducing Lie group geometry to deep learning techniques for learning human / robot motions.
			Zehra Camlica Ph.D. Candidate Zehra completed her MASc degree in Systems Design Engineering at Waterloo University. Her current research area is data analysis and the goal of her research is to analyze human driving behaviors from mobile or In-Vehicle data.
			Vladimir Joukov Ph.D. Candidate Motion modeling and analysis.
			Muhammad Choudry M. A. Sc. Candidate Muhammad Choudry is a part-time graduate student at the University of Waterloo and an engineer at Qualcomm. He completed his BASc in Electrical Engineering with an option in mechatronics at the University of Waterloo in 2011. His current research interests include developing algorithms for motion learning and analysis that take advantage of parallelism in current computing trends.
			Rezvan Kianifar M. A. Sc. Candidate Rezvan completed her M.Sc degree in Biomedical Engineering at Amirkabir University of Technology. Her research is focused on human pose estimation during rehabilitation using wearable sensors. The goal of her research is to provide clinicians with an automated assessment method which helps them in early diagnosis of musculoskeletal disorders.
			Jamie Waugh M. A. Sc. Candidate Jamie completed her undergraduate degree in Electrical Engineering at the University of Waterloo. She is currently collaborating with the Neuroscience, Mobility, and Balance Lab in the Kinesiology department to model progress of human gait rehabilitation.
			Kevin Cheung M. A. Sc. Candidate Humanoid robot gait.
			Kevin Westermann M. A. Sc. Candidate Kevin completed his BASc. in Mechatronics Engineering at the University of Waterloo in 2016. His MASc. research focuses on using Lie Groups motion modelling and classification techniques to determine the optimal movement pattern in dynamic human movements. The goal of the research is to find the key movement and variance elements of a dynamic movement that most strongly influence the success of the movement.
Alumni
			Christopher Woo M. A. Sc. Chris developed methods for smartphone based vehicle state estimation and driver manoevre recognition.
			Matthew Chan M. A. Sc. Matthew developed a curiosity-based algorithm for automated behaviour generation of an interactive sculpture system. His research was co-supervised with Prof. Rob Gorbet and was a collaboration with Philip Beesley Archtect.
			Agnes Lam M. A. Sc. Agnes' MASc thesis developed and validated a user interface for an automated rehabilitation system.
			Rajan Gill M. A. Sc. Rajan's MASc thesis developed algorithms for robust path following for redundant robot manipulators. His research is co-supervised by Professor Chris Nielsen.
			Mo Memarian M. A. Sc. Mo worked on the design and implementation of dynamic mechanisms capable of performing various movements in order to convey specific human emotions. His research was co-supervised with Prof. Rob Gorbet.
			Roshanak Houmanfar M. A. Sc. Roshanak's thesis developed algorithms for quantitative comparison between the patient's motion in a physiotherapy session and the motions prescribed by the physiotherapists, in order to provide them with feedback on the quality of motion performed by the patient.
			Michelle Karg Post-Doctoral Fellow Michelle worked on pattern recognition algorithms for human motion analysis in biomedical applications.
			Ali-Akbar Samadani Ph.D. Ali-Akbar developed algorithms for affective movement modeling, recognition and generation. His thesis was co-supervised by Prof. Rob Gorbet. and Prof. Dana Kulić.
			Sheran Wiratunga M. A. Sc. Sheran developed and evaluated methods for collecting training data for manipulator and quadrotor model learning.
			Cecille Freeman Ph.D. Cecille's research focused on combined classification and feature selection for pattern recognition, with applications in motion capture. Her research was co-supervised by Professor Basir and Professor Kulić.
			Christopher Thomas Post-Doctoral Fellow Christopher completed his PhD in Computer Engineering at York University in 2011. At Waterloo, he developed distributed sensing systems for motion capture.
			Zhenning Li M.A.Sc. Zhenning's MASc research focused on human motion tracking from a single view camera.
			Guoting (Jane) Chang M. A. Sc. Jane developed a robot learning system capable of error detection and correction. .
			Safwan Choudhury M. A. Sc. Safwan's research focused on the electromechanical design and dynamic modelling of a humanoid robot platform, the control aspects of humanoid robots, specifically in the area of biped locomotion.
			Joseph Sun de la Cruz M.A.Sc. Joseph worked with Professors Dana Kulić and Bill Owen on the control of movement primitives for robotic systems.