Members

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.

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.

Network manager for the N-CODE network+ which aims to develop technologies that enable diagnosis and management of neurological conditions in the community.

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.

Investigate learning mechanisms involved in chronic pain using computational modelling

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.

I am a Researcher. I have excellent skills in computer science, biomedical engineering, neuroscience, data science, cancer cell biology, and bioinformatics. Currently, I am working on the CASP15 project, In this project I am working on protein structure prediction with the help of a machine-learning algorithm and also I am working on a neuroscience project at FENS. Previously I have done many thesis and project work in terms of neuroscience with the help of natural language processing, and deep learning. I am also doing my research in cancer biology in an open lab at Cancer Research UK.
My Area of Interest:- Clinical Research in Medicine, Neuroscience, Cell Biology, Cancer Biology, Computer Science and related fields, etc.

I am interested in the neurocomputational mechanism of touch, temperature and pain perception in physiological and pathological conditions. To probe them, I use a combination of psychophysics, EEG and fMRI combined with computational modelling.

Studying neural mechanisms of an antagonistic relationship between pain and pleasure using fMRI