معرفی
Christopher McCausland is a Data Scientist at the School of Computing, Engineering and Intelligent Systems at Ulster University, Belfast campus. His work focuses on applying advanced analytical techniques to biomedical data, particularly in sleep science and cardiology.
- Location: Room BA-02-005, 2-24 York Street, Belfast, BT15 1AP
- Contact: c.mccausland@ulster.ac.uk
- Phone: +44 28 9536 7494
McCausland's research bridges machine learning, signal processing, and healthcare applications. He specializes in:
- Time–frequency analysis for sleep stage classification
- Deep learning in electroencephalogram (EEG) and electrocardiogram (ECG) data interpretation
- Improving inter-scorer reliability in sleep studies
- Device-agnostic artificial intelligence for cardiac diagnostics
- Semantic modeling for mental health interventions
- Featurization techniques in traditional and deep learning ECG algorithms
His recent publications highlight trends in biomedical data science, particularly leveraging time-frequency transforms and recurrent neural networks for EEG and ECG analysis. These works span disciplines including machine learning, neuroscience, cardiology, and health informatics.
McCausland's contributions to digital health interventions emphasize practical applications of data science in clinical settings, though no awards or formal grants are explicitly mentioned in the available information. He does not currently appear to have advisees listed in public records.
