Members
Sana Poormohammadreza
Working in:
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Prosthetics and robotics
- Biomechanics
- Pumps and infusion devices
- Non-invasive brain stimulation
- Invasive brain or spinal stimulation
- Peripheral stimulation
- Neurofeedback
- Invasive recording systems
- Virtual reality
- Data science and biomarkers
I’m a second year medical student interested in research in AI in Medicine. I would like to join the network group to meet researchers in this area and have opportunities to be involved in the research.
Yusuf Ahmed
Working in:
- Bioelectronics and sensor systems
- Prosthetics and robotics
- Biomechanics
- Digital Health
- Non-invasive brain stimulation
- Neurofeedback
- Virtual reality
- Data science and biomarkers
Neurotech for cognitive rehabilitation and age-technology. Neuro-rehabilitation engineering, signal processing and control
Callum O’Malley
Working in:
- Computational and dynamical brain models
- Non-invasive brain stimulation
- Peripheral stimulation
- Neurofeedback
- Virtual reality
- Data science and biomarkers
- Other
Individually my research covers the perception of effort and how it is affected by the pain experience on a psychophysiological level.
Linked to that, I then explore the behavioural and cognitive changes in self-regulation due to pain.
As a group, we explore the use of virtual reality and eye-tracking with their ability to enhance performance across sport, military, aviation, and clinical settings.
As a new member of my team, the aim is to bridge the pain research and eye-tracking/virtual reality research already underway.
Naomi du Bois
Working in:
- Digital Health
- Neurofeedback
- Virtual reality
- Other
Currently, I am a trial manager on a UKRI Turing AI Acceleration Fellowship Project, where I am responsible for planning and running EEG-based BCI research trials – which primarily includes trials with patients who have prolonged disorders of consciousness and/or physical impairments resulting from injury or disease. My main area of research has a focus on brain-computer interface (BCI) technologies.
Ali Khatibi
Working in:
- Digital Health
- Neurofeedback
- Virtual reality
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
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.
Prof. Stephen Jackson
Working in:
- Animal models
- Bioelectronics and sensor systems
- Non-invasive brain stimulation
- Peripheral stimulation
- Neurofeedback
- Data science and biomarkers
- Other
My research focuses on understanding the brain mechanisms that underpin human sensorimotor function. My research utilises a range of approaches, including state-of-the-art MR imaging and spectroscopy, magnetoencephalography, and non-invasive brain stimulation to investigate the pathophysiology of common mental/brain health conditions. A key focus is developing the next generation of novel therapeutic approaches for mental/brain health conditions based on wearable technology and non-invasive brain stimulation. To this end I am a founding Non-Executive Director, and Chief Scientific Officer, of Neurotherapeutics Ltd.
Dr. Alex Casson
Working in:
- Bioelectronics and sensor systems
- Digital Health
- Non-invasive brain stimulation
- Neurofeedback
Dr Alex Casson is a Reader in the Materials, Devices and Systems division of the Department of Electrical and Electronic Engineering at the University of Manchester. His research focuses on non-invasive bioelectronic interfaces: the design and application of wearable sensors, and skin-conformal flexible sensors, for human body monitoring and data analysis from highly artefact prone naturalistic situations. This work is highly multi-disciplinary and he has research expertise in:
– Ultra low power microelectronic circuit design at the discrete and fully custom microchip levels.
– Sensor signal processing and machine learning for power and time constrained motion artefact rich environments.
– Manufacturing using 3D printing, screen printing, and inkjet printing.
He has particular interests in closed loop systems: those which are tailored to the individual by personalised manufacturing via printing; and tailored to the individual by adjusting non-invasive stimulation (light, sound, electrical current) using data driven responses/outputs from real-time signal processing. Dr Casson’s ultra low power sensors work is mainly for health and wellness applications, with a strong background in brain interfacing (EEG and transcranial current stimulation) and heart monitoring. Applications focus on both mental health situations including chronic pain, sleep disorders, and autism, and physical health/rehabilitation applications including diabetic foot ulceration, and chronic kidney disease.