Arash Arami
PhD in Electrical Engineering, Ecole Polytechnique Fédéral de Lausanne (EPFL)
MSc in Electrical Engineering (Control), University of Tehran
BSc in Electrical Engineering (Control), University of Tabriz

Research Associate
Department of Bioengineering
Imperial College London
SW7 2AZ London, UK
Office: 4.28 RSM
Email: a.arami[at]
Other website


About me

Arash is a research associate in the Human Robotics Group at the department of Bioengineering at Imperial College London with research interests in motor neuroprosthetics, intelligent and learning-based assistive devices, locomotion modeling, analysis, and control.

He obtained his Master’s degree in electrical engineering/control in 2009. During his postgraduate studies, he was working on intersection of machine learning and control. His research was mostly focused on intelligent and learning based systems for state understanding and control. He was a research assistant from Sep 2009 to Feb 2014 at EPFL, and obtained his PhD in electrical engineering in 2014. His thesis was on design and validation of smart knee prostheses (SImOS project), using machine learning techniques to regress the row data, fusion of implantable and wearable sensors to accurately estimate biomechanically meaningful parameters, design and control of a robotic knee simulator and a system for detection of orthopedic implant loosening through vibration analysis. From March 2014 to April 2015 he was a senior scientist at EPFL during which his research was focused on designing a robotic shoulder simulator, activity recognition in stroke patients (Rewire EU project), rehabilitation games for patients with high risk of fall (Farseeing EU project), assistive devices to provide real-time feedback for neuroprosthetics.

Since April 2015, Arash Arami joined Human Robotics group directed by Prof. Etienne Burdet at Imperial College London. He is working on an EU project (Symbitron) on cooperative control of lower limb exoskeleton for spinal cord injury (SCI) subjects. His role includes the modeling of locomotion for SCI patients, multi-joint impedance identification, and exoskeleton cooperative controller design.   


  • Best Paper Award at the 2013 IEEE Body Sensor Networks Conference, 6-9 May, MIT, Cambridge, MA, USA.
  • Whitaker–Allard Innovation Award, (best paper award) in 12th Symposium on 3D Analysis of Human Movement (3DAHM 2012), Bologna, Italy.
  • Ranked 1st among students (entrance 2006) in Master of Science program in Control Eng./Elec. Eng., University of Tehran, Iran.

Appearance in media

Teaching experiences

  • Human Neuromechanical Control and Learning, Imperial, instructor: Prof. E. Burdet (Spring 2016 & 2017)
  • Machine Learning and Neural Computation, Imperial, instructor: Prof. A. Faisal (Fall 2016)
  • Analysis and Modeling of Locomotion, EPFL, main instructor: Prof. K. Aminian (Spring 2013)
  • Sensors in Biomedical Instrumentation, EPFL, main instructor: Prof. K. Aminian (Spring 2011 & 2012)
  • Pattern Recognition, University of Tehran, main instructor: Prof. B. N. Araabi (Fall 2007 & 2008) 
  • Machine Learning, University of Tehran, main instructor: Prof. M. Nili Ahmadabadi (Fall 2008)


See my google scholar page.

Selected journal papers:

A. Arami, N. Saint Raymond, and K. Aminian, An Accurate Wearable Foot Clearance Estimation System: towards a real time measurement system,in press IEEE Sensors, 2017.

A. Latypova, A. Arami, et al. “A Patient-specific Model of Total Knee Arthroplasty to Estimate Patellar Strain: A case study,” Clinical Biomechanics, Vol. 32, p. 212-19, 2016.

A. Arami, N. Vida Martins & K. Aminian. Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator, IEEE Sensors, 15 (11), p. 6271- 78, 2015.

F. Massé, R. R. Gonzenbach, A. Arami, A. Ionescu & K. Aminian. Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients, J. NeuroEng. Rehab. 12 (1), p. 72-86, 2015.

A. Arami, J. Rechenmann & K. Aminian. Reference-Free Automated Magnetic Sensor Calibration for Angle Estimation in Smart Knee Prostheses, IEEE Sensors, 14 (6), p. 1788-1796, 2014.

D. Forchelet, M. Simoncini, A. Arami, A. Bertsch & E. Meurville et al. Enclosed Electronic System for Force Measurements in Knee Implants, Sensors, 14 (8), p. 15009-15021, 2014.

W. Hasenkamp, J. Villard, J.-R. Delaloye, A. Arami, A. Bertsch et al. Smart instrumentation for determination of ligament stiffness and ligament balance in total knee arthroplasty, Med. Eng. Physics, 36 (6), p. 721-725, 2014.

A. Arami, A. Vallet & K. Aminian. Accurate Measurement of Concurrent Flexion-Extension and Internal-External Rotations in Smart Knee Prostheses, IEEE Trans. Biomed. Eng. (TBME), 60 (9), p. 2504-10, 2013.

A. Arami, et al. Instrumented Knee Prosthesis for Force and Kinematics Measurements, IEEE Trans. Auto. Science Eng. 10 (3), p. 615-624, 2013.

W. Hasenkamp, N. Thevenaz, J. Villard, A. Bertsch, A. Arami et al. Design and test of a MEMS strain-sensing device for monitoring artificial knee implants, Biomed. Microdevices, 15 (5), p. 831-9, 2013.

A. Arami, J. Miehlbradt & K. Aminian. Accurate Internal-External Rotation Measurement in Total Knee Prostheses: a magnetic solution, J.Biomechanics, 45 (11), p. 2023-2027, 2012.

A. Arami, C. Lucas & M. N. Ahmadabadi. Attention to Multiple Local Critics in Decision Making and Control, in Expert Systems with Applications, 37 (10), p. 6931-6941, 2010.

M. Javan-Roshtkhari, A. Arami & C. Lucas. Imitative Learning Based Emotional Controller for Unknown Systems with Unstable Equilibrium, Int. J. Intelligent Comp. Cybernet., 3 (2), p. 334 - 59, 2010.

M. R. Jamali, M. Dehyadegari, A. Arami, C. Lucas & Z. Navabi. Real-Time Embedded Emotional Controller, Neural Comp. Appli., 19 (1), p. 13-19, 2010.

M. R. Jamali, A. Arami, M. Dehyadegari, C. Lucas & Z. Navabi. Emotion on FPGA: Model Driven Approach, in Expert Systems with Applications, 36 (4), p. 7369-7378, 2009.

M. R. Jamali, A. Arami, et al. Real Time Emotional Control for Anti-Swing and Positioning Control of SIMO Overhead Traveling Crane. Int. J. Innovat. Comp., Inf., Control, 4 (9), p. 2333-44, 2008.

A. Arami, B. Nadjar Araabi, C. Lucas & M. Nili Ahmadabadi. Learning Cluster Type and Dissimilarity Metric for Each Cluster Using a Set of Possible Cluster Types,  CSI J. Computer Science Eng., 5, p. 33-45, 2007.

Selected peer-reviewed conference papers:

H.-Y. Huang, I. Farkhatdinov, A. Arami, E. Burdet, Modelling Neuromuscular Function of SCI Patients in Balancing, International conference on neurorehabilitation (ICNR), Segova, Spain, 2016.

F. Dzeladini, A.R. Wu, D. Renjewski, A. Arami, E. Burdet, E. van Asseldonk, H. van der Kooij, A. Ijspeert,“Effects of a Neuromuscular Controller on a Powered Ankle Exoskeleton During Human Walking,”6th IEEE Int. conf. biomedical robotics, biomechatronics (BioRob), Singapore, p. 617-622, 2016.

A. Arami, et al. Implantable and wearable measurement system for smart knee prosthesis. IEEE Biomed. Circuits Sys. (BioCAS), Lausanne, Switzerland, 2014.

A. Arami, et al. Estimation of prosthetic knee angles via data fusion of implantable and wearable sensors. 10th IEEE body sensor networks conference (BSN), MIT, Cambridge, Massachusetts, USA, 2013.

F. Dadashi, A. Arami, et al. A Hidden Markov Model of the Breaststroke Swimming Temporal Phases Using Wearable Inertial Measurement Units. 10th IEEE Body Sensor Networks Conf., MIT, Cambridge, USA, 2013.

A. Arami, et al. Instrumented Prosthesis for Knee Implants Monitoring. IEEE Conf. Automat. Sci. Eng. (IEEE CASE), Trieste, Italy, 2011.

M. Javan-Roshtkhari, A. Arami & C. Lucas. Emotional Control of Inverted Pendulum System, A soft switching from imitative to emotional learning. 4th Int. Conf. Autonom. Robots Agents (ICARA), Wellington, New Zealand, 2009.

A. Arami & B. Nadjar Araabi. A Clustering Method Based on Soft Learning of Model (Prototype) and Dissimilarity Metrics. 13th Int. CSI Computer Conf. (CSICC), Kish Island, Iran, Communications in Computer & Info. Sci. 2009.

A. Arami, B. Rahimzadeh Rofoee & C. Lucas. Multiple Heterogeneous Ant Colonies with Information Exchange. IEEE Cong. Evolution. Comp. (CEC), Hong Kong, China, 2008.

A. Arami, M. Javan-Roshtkhari & C. Lucas. A Fast Model Free Intelligent Controller Based on Fused Emotions: A Practical Case Implementation. IEEE Int. Med. Conf. Control Auto., France, 2008.