Members
Sudipta Chowdhury
Working in:
- Computational and dynamical brain models
- 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
Current student – I am still exploring my interests in health and med tech
Harriet Downing
Working in:
- Computational and dynamical brain models
- 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
- Virtual reality
- Data science and biomarkers
The Bath Institute for the Augmented Human is led by Prof Damien Coyle and Dr Ben Metcalfe, and brings together 60+ academics at Bath with expertise in neurotech, wearables/sensors, robotics, VR/AR, Virtual Digital Assistants, assistive communications devices, haptics, implantables, brain-computer interfaces. The Institute’s focus is on the development of technology to improve human physical and cognitive performance, in a safe and ethical manner, for societal benefit and ensuring no harm is done in the field.
Thomas Pourchet
Working in:
- Computational and dynamical brain models
- Biomechanics
- Non-invasive brain stimulation
- Data science and biomarkers
My PhD thesis project focuses on non-invasive brain stimulation for treating Chronic Low Back Pain. Specifically, I am conducting a Randomized Controlled Trial (RCT) to evaluate the effects of an active physiotherapy program combined with transcranial Direct Current Stimulation (tDCS) on Pain, Resting State EEG activity, and an EMG biomarker: the Flexion Relaxation Phenomenon. Then we would also like to determine different low back pain phenotypes.
A S M Shamsul Arefin
Working in:
- Computational and dynamical brain models
- Neurofeedback
- Other
Arefin is currently working as a Doctoral Researcher in Biomedical Engineering Division at the University of Glasgow, Scotland, UK. His primary research interest is in EEG based neurofeedback for nociplastic pain rehabilitation in Rheumatoid Arthritis patients. He is on leave from his current position as a faculty member in the Department of Biomedical Physics and Technology at the University of Dhaka, Bangladesh. His other research interests include neuroscience and STEM education.
Kshitij Kumar
Working in:
- Animal models
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Non-invasive brain stimulation
- Invasive brain or spinal stimulation
- Invasive recording systems
- Data science and biomarkers
I am engaged in the study of the intricate relationship between affective disorders and their associated comorbidities, particularly chronic pain. To delve into this complex interplay, I employ a multi-faceted approach. For human subjects, I utilize behavioral tasks and non-invasive imaging methods to unravel the neural and behavioral foundations of these conditions. When working with animal models, I employ in-house developed, customizable polyimide-based flexible electrodes. These specialized tools enable me to gain deeper insights into the neural underpinnings of these disorders.
Dr Rebecca Ward
Working in:
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Prosthetics and robotics
- Biomechanics
- Digital Health
- Non-invasive brain stimulation
- Invasive brain or spinal stimulation
- Peripheral stimulation
- Neurofeedback
- Invasive recording systems
- Virtual reality
- Data science and biomarkers
Network manager for the N-CODE network+ which aims to develop technologies that enable diagnosis and management of neurological conditions in the community.
Saeri Park
Working in:
- Computational and dynamical brain models
I will research chronic pain mechanisms using fibromyalgia patients’ fMRI data. I’m going to do network analysis and discover novel findings about chronic pain mechanisms. Also, I want to differentiate spontaneous pain from pain caused by external stimuli in chronic patients.
Mégane Lacombe-Thibault
Working in:
- Computational and dynamical brain models
Investigate learning mechanisms involved in chronic pain using computational modelling
Michel-Pierre Coll
Working in:
- Computational and dynamical brain models
- Data science and biomarkers
My research program leverages human neuroimaging and recent advances in computational modelling and artificial intelligence to understand pain perception and modulation. This overarching goal is pursued via two complementary streams. A first theory-driven research stream aims to identify coherent computational and neural architectures capable of explaining and predicting pain perception and pain avoidance. A second data-driven research stream aims to create and interpret sensitive, specific, and generalizable brain-based biomarkers of pain perception capable of predicting pain intensity across individuals and pain modalities.