Hafeez Ullah Amin

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Academic, Senior Lecturer in Computer Science

Edge Hill University

United Kingdom

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About

Hafeez Ullah Amin is a Senior Lecturer in Computer Science at Edge Hill University, UK. His research primarily focuses on neurophysiological models of cognitive processes, including memory performance and stress mitigation through EEG-based methods. Recent articles explore topics such as extraversion classification using EEG, automated detection of epileptic seizures, and the effects of learning modalities on cortical activity.

Recent Grants

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Enhancing STEM Learning in Higher Education through the Application of Virtual Reality

Open Date: 2022-12-01

Close Date: 2024-11-01

Grant: Close

Automated EEG Signals Analysis based on Artificial Intelligence for mental healthcare, UNM Internal research Grant

Open Date: 2021-06-01

Close Date: 2022-01-01

Grant: Close

Objective assessment and intervention for mental stress and fatigue for Oil and Gas workforce

Open Date: 2016-11-01

Close Date: 2019-10-01

Grant: Close

Travel Grant Award

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Articles (9)

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2025

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2024

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2024

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2023

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2022

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2021

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2021

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2020

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2020

Collaborators (1)

Aamir Saeed Malik

Brno University of Technology

CZECH REPUBLIC

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Hafeez Ullah Amin

Research Interests

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About

Recent Grants

Articles (9)

Enhancing Extraversion Classification With Sample Entropy: A Comparison of Two EEG Epoch Lengths

Career Change Intentions of Science and Engineering Undergraduates: A Behavioral Neuroscience Inquiry

A Neurophysiological Model based on Resting-State EEG Functional Connectivity Features for Assessing Semantic Long-term Memory Performance

Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques

Editorial: EEG-based assistive robotics for rehabilitation

Modulation of cortical activity in response to learning and long-term memory retrieval of 2D verses stereoscopic 3D educational contents: Evidence from an EEG study

Development of Enhanced Stimulus Content to Improve the Treatment Efficacy of EEG–Based Frontal Alpha Asymmetry Neurofeedback for Stress Mitigation

Hemispheric asymmetries in electroencephalogram oscillations for long-term memory retrieval in healthy individuals

A novel approach based on wavelet analysis and arithmetic coding for automated detection and diagnosis of epileptic seizure in EEG signals using machine learning techniques

Collaborators (1)

Aamir Saeed Malik

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