Post doctoral researchers
Rezvan is a Postdoctoral Fellow and has a Ph.D. in "Machine Intelligence and Robotics". He is working to develop a model-based controller for lower limb exoskeletons for individuals with incomplete Spinal Cord Injury (iSCI). His main focus is to present a joint level robust controller with tunable/adaptable parameters from a dynamical system perspective, by considering the limitations and constraints of the real applications. This is a joint project between the University of Waterloo, the University of Alberta and two clinical centers, under supervisions of Dr. Arash Arami and Dr. Hossein Rouhani.
Cederick is exploring optimization of the compression process using machine learning. He is exploring alternative actuation modalities to generate compression to the leg within a small time window of the cardiac cycle. Cederick is co-supervised by Sean Peterson and is part of a research team in Fluid Flow Physics Group exploring advanced compression technologies for improving lower limb blood circulation.
Julia is pursuing a Joint Interdisciplinary PhD between the School of Public Health and Health Systems, and Department of Mechatronics and Mechanical Engineering. She is co-supervised by Dr. Ellen MacEachen. Julia has a three-year appointment as Student Member of the Waterloo Institute of Complexity and Innovation. Working with Schlegel Villages, her doctoral research focuses on building and validating data-driven models through a mixed-method design to classify, predict and better understand stress in front-line caregiving work. Findings will inform nursing home management decision making to ensure caregiver health and well-being.
Tharindu is working on the development of an AI-based system for optimizing preform designs in a warm forging process for manufacturing a Magnesium Alloy structural component. He aims to integrate finite element simulations and soft computing tools to evolve a design solution with minimal user involvement.
Mohammad is working on the identification and mathematical modeling of multi-joint neuromechanics of walking and the design of controllers for assistive robotic systems. His primary focus is on unifying the data-driven parameter estimation methods with a variety of adaptive controllers benefiting from reinforcement learning such that the assistive device could perfectly and continuously adapt itself to the user's physical conditions and needs.
Erfan is a PhD student and member of Arami Research Lab and Fatigue and Stress Analysis Lab. With a background in materials science and engineering, he is studying the process-microstructure-property relationship in production of lightweight, magnesium-based automotive components. He aims to establish such a relationship thorough advanced characterization methods and machine learning models.
Yesung is working on quantitatively modelling lower limb spasticity in spinal cord injury (SCI) using wearable sensors and machine learning, and developing a controller for a lower-limb exoskeleton that prevents spasticity-inducing regimes of motion.
Sola is working on finding underlying cost functions for human movement control. His research interests include robotics, deep reinforcement learning, artificial neural networks, and computational neural science.
Jiacheng (Sola) Weng
Hannah is working on developing an experimental method for estimating human body segment inertial parameters and dynamical models. The application of this work will be explored in the controller of assistive robotic devices.
Iara is working on non-invasive implant loosening detection. Her research interests include medical robotics and machine learning.
Undergraduate Research Assistants (URAs, Coop) and volunteers
I’m a Biomedical Engineering student with an interest on developing systems that will benefit human health and wellbeing. I am currently working on some control system of a lower limb exoskeleton, as well as doing some data collection and processing.
Jack W. Peifer-Dawson
Jack is working on muscle Hill models
and their application in functional electrical stimulation (FES).
Kayley is working on the prediction of Freezing of Gait in Parkinson's Disease using machine learning techniques.
Past Graduate Students
Kathleen is working on wearable systems for assessment and modelling of Parkinson's disease. She is under co-supervision of Prof. Etienne Burdet at Imperial College London.
Past Co-op, Undergrad Research Assistants and Volunteers
I'm a Mechatronics student with a particular interest in problem solving through software and hardware integrations. For this project, I'll be working on a developing a software application for optimizing designs in a warm forging process for a Magnesium Alloy component!
Yihui (Lucy) Liu
Winnie is working on human lower limb motor control.
Muneeb Saif Qadri
Muneeb is working on development of
a IR-IMU fusion prototype.
Kevin is working on a smart shoe to measure foot clearance.
Cathy is working on a smart shoe insole that is able to detect gait pressure using force sensing resistors. The recorded data is displayed using a data acquisition device which can be used to predict unexpected falls and movements.
"I have a profound interest in biomimetics, biomedical applications, and robotics. I am currently working on creating an impedance model for the knee and the hip, which can be used in future impedance control applications for lower limb exoskeletons."
"I worked on building instrumented handles and analyzing data for modelling spasticity. I am interested in the design of electromechanical devices and the treatment of neurological conditions, especially brain injuries."
Yanqing is working on gait modeling in Parkinson's disease.
Parsa is working on lower limb motor control.