Imperial College London


Faculty of EngineeringDepartment of Bioengineering

Honorary Lecturer



i.farkhatdinov Website




Royal School of MinesSouth Kensington Campus





Ildar Farkhatdinov is an honorary lecturer in department of Bioengineering of Imperial College of London and he works with Professor Etienne Burdet in Human Robotics Group. He is also a Lecturer in Robotics at Queen Mary University of London. He got his Ph.D. in Robotics from University Pierre and Marie Curie in 2013 UPMC Paris VI Univ (Paris, France), M.Sc. in Mechanical Engineering from Korea University of Technology and Education in 2008 (Cheonan, South Korea), and B.Sc. with honors in Automation and Control from Moscow State University of Technology STANKIN (Moscow, Russia) in 2006. His primary research interests are in the field of human-robot/computer interaction, in particular haptics, teleoperation, human perception and biomechanics, as well in design and control of robotic systems. He currently works on human posture balance control and its implementation for physical and virtual systems.

Link to Human Robotics Group
Link to QMUL profile



Din AR, Althoefer K, Farkhatdinov I, et al., 2021, Innovation in the time of SARS-CoV-2: A collaborative journey between NHS clinicians, engineers, academics and industry., Surgeon, Vol:19, ISSN:1479-666X, Pages:e281-e288

Ratclife J, Soave F, Bryan-Kinns N, et al., 2021, Extended reality (xr) remote research: A survey of drawbacks and opportunities, Conference on Human Factors in Computing Systems - Proceedings

Huang HY, Farkhatdinov I, Arami A, et al., 2021, Cable-driven robotic interface for lower limb neuromechanics identification, Ieee Transactions on Biomedical Engineering, Vol:68, ISSN:0018-9294, Pages:461-469

Sun F, Zang W, Huang H, et al., 2021, Accelerometer-Based Key Generation and Distribution Method for Wearable IoT Devices, Ieee Internet of Things Journal, Vol:8, ISSN:2327-4662, Pages:1636-1650

Huang H-Y, Farkhatdinov I, Arami A, et al., 2021, Cable-Driven Robotic Interface for Lower Limb Neuromechanics Identification., Ieee Trans. Biomed. Eng., Vol:68, Pages:461-469

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