Mohammadreza Jamalifard
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Email
m.jamalifard@essex.ac.uk -
Location
Colchester Campus
Profile
Biography
Mohammadreza Jamalifard is a PhD researcher in the Department of Computing at the University of Essex. His doctoral research, begun in October 2025, focuses on eye-tracking and neuroimaging analysis for the detection and prediction of fatigue and injury in athletes. Integrating neural signal processing with machine learning and explainable AI techniques, his work seeks to identify early biomarkers of cognitive and physiological decline associated with performance-related fatigue. His interdisciplinary background in data science and fuzzy systems informs his approach to modelling complex bio-signals with interpretability and reliability. His broader research interests include approximate reasoning, heuristic optimization and probabilistic modeling, computational neuroscience, health informatics, and the application of intelligent systems to biomedical data for reliable diagnostic and monitoring frameworks.
Qualifications
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MSc in Data Science (Distinction) University of Essex (2022)
Research and professional activities
Thesis
Eye Tracking and Neuroimaging for Predicting Fatigue
His PhD research investigates the integration of eye tracking and neuroimaging techniques to identify physiological and cognitive markers of fatigue. Drawing on the EyeWarn framework, the study aims to develop predictive models that correlate ocular behavior with neurophysiological signals to forecast injury risk. Multimodal data, including eye-trqcking data and brain imaging, will be collected and analyzed using deep and machine learning approaches.
Supervisor: Dr Javier Andreu-Perez , Dr Benjamin Jones
Research interests
Explainable AI and Probabilistic Modeling
Developing probabilistic and fuzzy logic-based models to enhance interpretability and uncertainty quantification in biomedical and behavioral data analysis.