Milad was an AMTD Postdoctoral Fellow at our lab from September 2021 to December 2022. He was working on robot-based upper limb rehabilitation and motor control. From January 2023 to June 2023, Milad was a visiting researcher at our lab. 

Since January 2023 he is an Assistant Professor at the University of Alberta.

https://apps.ualberta.ca/directory/person/nazaraha 

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Rezvan completed a 2-year Postdoctoral Fellow research at Arami Lab, with a focus on design of controllers for lower limb exoskeletons. Rezvan has started a faculty position as an Assistant Professor at the school of Electrical and Computer Engineering at the University of Tehran.

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Cederick completed his PhD on using machine learning techniques to advance cuffless blood pressure estimation and providing reliable prediction of cuffless blood pressure with potential to be translated to the clinics. Cederick is currently an Assistant Professor at Mechanical Engineering department at the University of Sherbrooke. 
https://www.usherbrooke.ca/recherche/specialistes/details/cederick.landry

RG page

Mo completed his PhD on human-robot physical interaction in lower limb exoskeletons. He was a postdoctoral research with us for half a year. Then continued his postdoctoral research for another half a year at the University of Toronto and at KITE institute (Toronto Rehab). Mo is currently an Assistant Professor at the Toronto Metropolitan University. 
Website
RG page

Erfan completed his PhD on Process Parameters Relation to Microstructure Property (Physics-based data-driven modeling)

and developed advanced machine learning tools to predict the microstructure from the process parameters.
RG page

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During his PhD studies, Tharindu

developed techniques to for AI-powered  and Multi-objective Optimization of complex cast forging process of Mg alloys.

(co-supervised by Prof. Steve Lambert) 

RG page​

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For her Master's project, Kathleen worked on wearable systems for assessment and modelling of Parkinson's disease. She was under co-supervision of Prof. Etienne Burdet at Imperial College London.  Kathleen is currently a data scientist at Elvie. 

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During his Master's studies, Yesung worked on quantitatively modelling of lower limb spasticity in spinal cord injury (SCI) using wearable sensors and machine learning.

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Dusing his Master's studies, Sola worked on inverse optimal control and its application to recover optimal cost function for locomotion when applied to musculoskeletal models. Sola also worked on a curriculum reinforcement learning framework to generate natural locomotion for musculoskeletal models. 

During her Master's studies, Hannah developed techniques for real-time movement dynamics prediction during walking and designed feedforward torque and state-feedback controllers for lower limb exoskeletons. 

During her Master's studies, Iara  developed techniques allowing accurate estimation of blood velocity and control of compression cuff to maximize blood velocity in individuals with low blood velocity issues. 

During his Master's studies, Sahand worked on the interaction between visuhaptic feedback and motor learning. 

During her Master's studies, Thea worked on the ML algorithms for subtype-informed detection, data augmentation and prediction of Freezing of Gait in Parkinson's disease. 

During her Master's studies, Rachel investigated how the kinematic error has been encoded in EEG signals.