Md Moksedur Rahman
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Email
m.rahman@essex.ac.uk -
Location
Colchester Campus
Profile
- Research in Neurodegenerative Diseases
- Artificial Neural Networks (ANNs)
- Computational Neuroscience
- Brain–Computer Interfaces (BCIs)
- Machine Learning & Deep Learning Projects
- EEG Signal Processing (Python & MATLAB)
Biography
I am a PhD Researcher in Computer Science and an experienced Data Science professional at the University of Essex, where I also earned my MSc in Applied Data Science. My research sits at the intersection of AI, machine learning, and healthcare, with a specific focus on the early detection of neurodegenerative disorders using electroencephalography (EEG) data. Methodologically, my work utilizes advanced machine learning, deep learning architectures, and explainable AI (XAI) to analyze complex time-series brain signals and improve clinical model interpretability. I possess extensive hands-on experience using Python and MATLAB to engineer robust predictive models and develop transparent, real-world healthcare applications. Prior to entering academia, I spent over 11 years in the tech industry, progressing from a Software Developer to an R&D Team Leader. This extensive background in leadership, large-scale system design, and applied problem-solving strongly informs my current scientific research and development initiatives.
Qualifications
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MSc in Applied Data Science University of Essex (2023)
Research and professional activities
Research interests
Computational Neuroscience & Explainable EEG Data Analysis
Applying machine learning, deep learning architectures, and explainable AI (XAI) to analyze electroencephalography (EEG) data. This research focuses on decoding complex temporal brain signals to improve model interpretability, map neuroscientific features, and develop robust, transparent frameworks for the early detection of neurodegenerative and neurological disorders.
Contact
Location:
Colchester Campus
Working pattern:
9:30 AM to 2:00 PM, 5:00 PM - 11:30 PM