Members
Ibtihel Dhaya
Working in:
- Animal models
- Computational and dynamical brain models
- Other
During my PhD, I studied hemodynamic and structural changes during sepsis-associated encephalopathy by combining imaging techniques with histological analysis. Currently, I am investigating the neuroprotective effects of selected bioactive molecules using both in vivo and in vitro neuroinflammatory models.
Mattan Pelah
Working in:
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Biomechanics
- Non-invasive brain stimulation
- Invasive brain or spinal stimulation
- Virtual reality
- Data science and biomarkers
I work in the Pain and Averse Learning lab under Prof. Ben Seymour on computational models for the neurological mechanisms of tonic pain, and modulating these mechanisms via neurostimulation (primarily non-invasive, eg. TUS and TMS) for clinical use.
Gulistan Iskenderoglu
Working in:
- Computational and dynamical brain models
I work on mathematical models of the brain in Professor Stephen Coombes’ team. We conduct mathematical analysis, perform computational simulations, develop theoretical frameworks to understand neural dynamics, and apply dynamical systems theory and network analysis to study neural activity and its implications for neurological disorders.
Daniel Tamkin
Working in:
- Computational and dynamical brain models
- Digital Health
Cognitive Neuroscience, brain health, longevity and neurotechnology.
Pradeep Dheerendra
Working in:
- Computational and dynamical brain models
- Non-invasive brain stimulation
- Neurofeedback
- Data science and biomarkers
Non-invasive brain stimulation to alleviate distress in misophonia and provide relief to sufferers using TMS. Chronic Neuropathic Pain in Spinal Cord Injury
Anthony Jones
Working in:
- Computational and dynamical brain models
- Digital Health
- Non-invasive brain stimulation
- Neurofeedback
We are interested in brain mechanisms of pain resilience and currently focusing on using brain-computer (mainly smart phones and EEG) interfaces to help improve resilience to pain and related symptoms in patients with chronic pain and related disorders (abnormal sleep,mood and non-epileptic epilepsy)
Pruthvi Mehta
Working in:
- Computational and dynamical brain models
- Invasive brain or spinal stimulation
- Neurofeedback
- Data science and biomarkers
My main interest is in neurophysics and computational neurology. I have a background (PhD) in particle physics, but am looking to pivot to neuroscience. I have used computational neurology tools such as BRIAN (used to simulate spiking neural networks), and have used Python and Tensorflow as part of my machine learning projects and PhD research. I would love to contribute in any way to chronic pain research, and it is a topic close to my heart as I suffered from chronic pain throughout my PhD and continue to do so.
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.