Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Research Associate in Sensing



james.avery Website




036Paterson WingSt Mary's Campus





James is a Research Associate in the Hamlyn Centre, Institute of Global Health Innovation and the Department of Surgery and Cancer, St Mary's Hospital. He received an MEng in Acoustical Engineering at the ISVR at the University of Southampton and completed his PhD in Biomedical Engineering at University College London in 2015. There he continued his work as an EPSRC Doctoral Research Fellow, developing Electrical Impedance Tomography methods for brain imaging as part of Prof. David Holder’s Neurophysiology lab.

Clinical studies during this time brought into sharp focus the benefits that good, open and reproducible engineering can have for patients and strengthened his desire to translate his work into clinical practice. Since 2018 he has worked as a postdoctoral researcher at the NIHR Imperial Biomedical Research Centre, seeking to develop new sensor technologies for surgery.

His research interests include:

  • Electrical Impedance Tomography
  • Surgical Robotics
  • Soft sensors
  • Implantable and wearable sensors
  • Open source biomedical devices and methods
  • Fixing things, more than likely after having broken them in the first place. Particularly 3D printers. 



Avery J, Dowrick T, Witkowska-Wrobel A, et al., 2019, Simultaneous EIT and EEG using frequency division multiplexing, Physiological Measurement, Vol:40, ISSN:0967-3334

Hannan S, Faulkner M, Aristovich KY, et al., 2019, Investigating the safety of fast neural electrical impedance tomography in the rat brain, Physiological Measurement, Vol:40, ISSN:0967-3334

McDermott BJ, Avery J, O'Halloran M, et al., 2019, Bi-frequency symmetry difference electrical impedance tomography - a novel technique for perturbation detection in static scenes, Physiological Measurement, ISSN:0967-3334

Chapman CAR, Aristovich K, Donega M, et al., 2019, Electrode fabrication and interface optimization for imaging of evoked peripheral nervous system activity with electrical impedance tomography (EIT), Journal of Neural Engineering, Vol:16, ISSN:1741-2560

Aristovich K, Donegá M, Blochet C, et al., 2018, Imaging fast neural traffic at fascicular level with electrical impedance tomography: proof of principle in rat sciatic nerve., J Neural Eng, Vol:15, Pages:056025-056025

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