Education

Doctorate Degree
Case Western Reserve University - Cleveland, OH

Areas of Interest

Research Interests

Big data analytics using machine learning and deep learning for healthcare applications, such as epileptic seizure detection and prediction, sleep stage scoring, sleep spindle detection, Post-ictal Generalized EEG Suppression (PGES) detection, etc.

Software tools for large-scale clinical data management including data capture, integration, query, visualization, and sharing.

Publications

Publication Information

1. Li X, Tao S, Jamal-Omidi S, Huang Y, Lhatoo SD, Zhang GQ, Cui L. Detection of Postictal Generalized Electroencephalogram Suppression: Random Forest Approach. JMIR Medical Informatics. 2020;8(2):e17061.

2. Li X, Huang Y, Tao S, Cui L, Lhatoo S, Zhang GQ. SeizureBank: A Repository of Analysis-ready Seizure Signal Data. In AMIA Annual Symposium Proceedings 2019. American Medical Informatics Association.

3. Wu Y, Li X, Liu J, Cui L. Hadoop-EDF: Large-scale Distributed Processing of Electrophysiological Signal Data in Hadoop MapReduce. In2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2019 (pp. 2265-2271). IEEE.

4. Li X, Cui L, Tao S, Chen J, Zhang X, Zhang GQ. Hyclasss: a hybrid classifier for automatic sleep stage scoring. IEEE journal of biomedical and health informatics. 2017;22(2):375-85.

5. Li X, Cui L, Tao S, Zeng N, Zhang GQ. SpindleSphere: a web-based platform for large-scale sleep spindle analysis and visualization. In AMIA Annual Symposium Proceedings 2017 (Vol. 2017, p. 1159). American Medical Informatics Association.