Arash Arami

Arash Arami is an assistant professor at the Department of Mechanical and Mechatronics Engineering at University of Waterloo since December 2017. He is the director of Neuromechanics and Assistive Robotics Laboratory. Dr. Arami is cross appointed in System Design Engineering department and an active member of Waterloo Robohub, Centre for Bioengineering and Biotechnology and Waterloo AI institute. He is also an affiliated Scientist at KITE, Toronto Rehab Institute (University Health Network).
Before, he was a Research Associate at Human Robotics Group at Imperial College London, from August 2015 to December 2017, working mainly on modelling human neuromechanics and design of collaborative controllers for exoskeletons. He was also a Postdoctoral Researcher at Ecole Polytechnique Fédéral de Lausanne (EPFL) from March 2014 to August 2015 in the Laboratory of Movement Analysis and Measurement, when his research was more focused on wearable systems, signal processing and application of machine learning in human movement analysis. He obtained his PhD from EPFL on 2014 on design and evaluation of smart prostheses, and kinematics estimation and loosening detection of endoprostheses.

• Assistive Robotics
• Human-Robot Interaction
• Machine Learning
• Rehabilitation Engineering
• Neuromechanics and Sensorimotor Modeling
• Neural Control of Movements
• Intelligent Systems
• Wearable Systems

• 2014, Doctorate Electrical Engineering, Ecole Polytechnique Fédéral de Lausanne (EPFL), Switzerland
• 2009, Master of Science Electrical Engineering / Control, University of Tehran, Iran
• 2006, Bachelor of Science (BSc) Electrical Engineering / Control, University of Tabriz, Iran

• Chair of NSERC Selection and Scholarshp Committee in Computational Sciences

• ME 360 - Introduction to Control Systems
  • Taught in 2019, 2020, 2021, 2022
• ME 547 - Robot Manipulators: Kinematics, Dynamics, Control
  • Taught in 2018, 2019, 2022, 2023
• ME 780 - Special Topics in Mechatronics
  • Taught in 2018, 2019, 2021, 2022
• MTE 360 - Automatic Control Systems
  • Taught in 2021, 2022, 2023
• MTE 546 - Multi-sensor Data Fusion
  • Taught in 2023

* Only courses taught in the past 5 years are displayed.

• Landry, Cederick, Peterson, Sean, and Arami, Arash, A fusion approach to improve accuracy and estimate uncertainty in cuffless blood pressure monitoring, Scientific Reports, 1, 2022
• Weng, Jiacheng, Hashemi, Ehsan, and Arami, Arash, Adaptive Reference Inverse Optimal Control for Natural Walking with Musculoskeletal Models, IEEE Transactions on Neural Systems and Rehabilitation Engineering, , 2022
• Shushtari, Mohammad, Dinovitzer, Hannah, Weng, Jiacheng, and Arami, Arash, Ultra-Robust Real-Time Estimation of Gait Phase, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2793, 2022
• Kodippili, Tharindu, Lambert, Steve, and Arami, Arash, Data-driven prediction of forging outcome: Effect of preform shape on plastic strain in a magnesium alloy forging, Materials Today Communications, 1, 2022
• Shushtari, Mohammad, Takagi, Atsushi, Lee, Judy, Burdet, Etienne, and Arami, Arash, Balance strategy in hoverboard control, Scientific Reports, 1, 2022
• Nasiri, Rezvan, Shushtari, Mohammad, and Arami, Arash, An Adaptive Assistance Controller to Optimize the Exoskeleton Contribution in Rehabilitation, Robotics, , 2021
• Nasiri, Rezvan, Shushtari, Mohammad, Rouhani, Hossein and Arami, Arash, Virtual Energy Regulator: A Time-Independent Solution for Control of Lower Limb Exoskeletons, IEEE Robotics and Automation Letters, 7699, 2021
• Shushtari, Mohammad, Nasiri, Rezvan, and Arami, Arash, Online Reference Trajectory Adaptation: A Personalized Control Strategy for Lower Limb Exoskeletons, IEEE Robotics and Automation Letters, 128, 2021
• Weng, Jiacheng, Hashemi, Ehsan, and Arami, Arash, Natural Walking with Musculoskeletal Models Using Deep Reinforcement Learning, IEEE Robotics and Automation Letters, 4156, 2021
• Landry, Cederick, Hedge, Eric T., Hughson, Richard L., Peterson, Sean, and Arami, Arash, Accurate Blood Pressure Estimation During Activities of Daily Living: A Wearable Cuffless Solution, IEEE Journal of Biomedical Health Informatics, 2510, 2021
• Landry, Cederick and Peterson, Sean D and Arami, Arash, Nonlinear Dynamic Modeling of Blood Pressure Waveform: Towards an Accurate Cuffless Monitoring System, IEEE Sensors Journal, 5368, 2020
• Huang, Hsien Yung and Farkhatdinov, Ildar and Arami, Arash and Bouri, Mohamed and Burdet, Etienne, Cable-driven robotic interface for lower limb neuromechanics identification, IEEE Transactions on Biomedical Engineering, 461, 2020
• Arami, Arash, van Asseldonk, Edwin, van der Kooij, Herman and Burdet, Etienne, A Clustering-Based Approach to Identify Joint Impedance During Walking, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 1808, 2020
• Cha, Yesung and Arami, Arash, Quantitative Modeling of Spasticity for Clinical Assessment, Treatment and Rehabilitation, Sensors, 5046, 2020
• Huang, Hsien Yung and Arami, Arash and Farkhatdinov, Ildar and Formica, Domenico and Burdet, Etienne, The influence of posture, applied force and perturbation direction on hip joint viscoelasticity, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 1138, 2020
• Mancuso, Matteo and Arami, Arash and Becce, Fabio and Farron, Alain and Terrier, Alexandre and Aminian, Kamiar, A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation, Journal of biomechanical engineering, , 2020
• Arami, Arash and Poulakakis-Daktylidis, Antonios and Tai, Yen F and Burdet, Etienne, Prediction of gait freezing in Parkinsonian patients: a binary classification augmented with time series prediction, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 1909, 2019
• Arami, Arash and Delaloye, Jean-Romain and Rouhani, Hossein and Jolles, Brigitte M and Aminian, Kamiar, Knee Implant Loosening Detection: A Vibration Analysis Investigation, Annals of biomedical engineering, 97, 2018
• Arami, Arash, Saint Raymond, Noémie and Aminian, Kamiar, An Accurate Wearable Foot Clearance Estimation System: Toward a Real-Time Measurement System, IEEE Sensors Journal, 2542, 2017
• Landry, Cederick and Hedge, Eric T and Hughson, Richard L and Peterson, Sean D and Arami, Arash, Cuffless Blood Pressure Estimation for Activities of Daily Living, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \\& Biology Society (EMBC), 4441, 2020
• Landry, Cederick and Peterson, Sean D and Arami, Arash, Estimation of the Blood Pressure Waveform using Electrocardiography, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 7060, 2019
• Nouredanesh, Mina and Frazer, Matthew and Tung, James and Jeon, Soo and Arami, Arash, Effect of visual information on dominant and non-dominant hands during bimanual drawing with a robotic platform, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 1221, 2019
• van der Kooij, Herman and van Asseldonk, Edwin and van Oort, Gijs and Sluiter, Victor and Emmens, Amber and Witteveen, Heide and Tagliamonte, Nevio Luigi and Tamburella, Federica and Pisotta, Iolanda and Masciullo, Marcella and others, Symbitron: Symbiotic man-machine interactions in wearable exoskeletons to enhance mobility for paraplegics, International Symposium on Wearable Robotics, 361, 2018
• Arami, Arash and Tagliamonte, Nevio L and Tamburella, Federica and Huang, Hsieng-Yung and Molinari, Marco and Burdet, Etienne, A simple tool to measure spasticity in spinal cord injury subjects, Rehabilitation Robotics (ICORR), 2017 International Conference on, 1590, 2017

• Research finds ankles key to learning to hoverboard