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University of Oxford | Oxford

Marzia Hoque Tania

Working in:

  • Digital Health
  • Virtual reality
  • Data science and biomarkers

I am an early-career multidisciplinary researcher, presently employed as a clinical machine learning researcher at the University of Oxford. My research primarily centres around electronic healthcare records and secondary care data. During my doctoral studies, I concentrated on visual knowledge transformation, while my current postdoctoral work is centred on developing survival-aware machine learning techniques for healthcare applications

University of Birmingham

Ali Khatibi

Working in:

  • Digital Health
  • Neurofeedback
  • Virtual reality
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University of Oxford

Danielle Hewitt

Working in:

  • Invasive brain or spinal stimulation
  • Peripheral stimulation
  • Virtual reality
  • Data science and biomarkers
  • Other
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UKRI Innovate UK KTN

Amy Romaniuk

Working in:

  • Bioelectronics and sensor systems
  • Prosthetics and robotics
  • Biomechanics
  • Pumps and infusion devices
  • Digital Health
  • Non-invasive brain stimulation
  • Invasive brain or spinal stimulation
  • Peripheral stimulation
  • Neurofeedback
  • Invasive recording systems
  • Virtual reality
  • Data science and biomarkers
  • Optogenetic systems
  • Other
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University of Exeter

Sophie Clarke

Working in:

  • Virtual reality
  • Data science and biomarkers
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University of Oxford | Oxford
Faculty

Dr. Suyi Zhang

Working in:

  • Computational and dynamical brain models
  • Bioelectronics and sensor systems
  • Digital Health
  • Virtual reality
  • Data science and biomarkers

Developing non-invasive brain-computer interfaces with optical modalities, creating real time decoding and signal processing BCI software, building AI models to decode human intention and speech

Cardiff and Vale University Health Board and Cardiff University | Cardiff
Faculty

Dr. Sharmila Khot

Working in:

  • Peripheral stimulation
  • Virtual reality
  • Other

Investigating functional neuroimaging in health and disease specifically role of pharmaco-imaging. Assessing non joint pain in people with rheumatoid arthritis and response to novel treatment with QST and neuroimaging.
Device development-PI for the Wellcome Trust, Translation of Concept Scheme-Institutional Translational Partnership Award (ITPA) developing a novel MR safe quantitative sensory testing device to assess peripheral and central sensitisation in musculoskeletal chronic pain.
Impact of immersive VR on pain processing and pain related patient outcomes.
Interested in understanding and developing Wearable Sensor based Technology and Brain stimulation for treating pain and related phenomenon

University of East Anglia | Norwich
Faculty

Dr. Jordan Tsigarides

Working in:

  • Bioelectronics and sensor systems
  • Digital Health
  • Neurofeedback
  • Virtual reality
  • Data science and biomarkers

My work focusses on the development and use of virtual reality interventions for the management of chronic pain. This includes research into brain-computer interfaces, personalised approaches using sensor-based technologies (eye tracking, EEG, ECG etc), and machine learning.

Centre for Pain Research, Leeds Beckett University | Leeds
Faculty

Prof. Mark Johnson

Working in:

  • Prosthetics and robotics
  • Non-invasive brain stimulation
  • Peripheral stimulation
  • Virtual reality
  • Other

I have conducted research on pain and its management for over 30 years. Areas of interest include response to electrophysical agents, individuality and pain, perceptual embodiment, epidemiology, pain education, pain and art, community-support-programmes for pain, and painogencity (health promotion). Methodologies include evidence syntheses (e.g., Cochrane reviews, meta-ethnography), human response to stimuli (quantitative sensory testing) and clinical trials. I have a long-standing interest in transcutaneous electrical nerve stimulation (TENS) and deliver a distance learning MSc module on Foundation Neuromodulation (implantable devices).