（一）科研项目

1. 国家自然科学基金委员会，青年项目，基于神经机制的肝性脑病分期追踪方法及其应用研究，2021-01至2024-12，主持。

2. 陕西省科学技术厅，青年项目，面向颅脑损伤的神经计算建模理论及其在预后评估中的应用研究，2021-01至2022-12，主持。

3. 国家自然科学基金委员会，面上项目，Rolandic癫痫神经计算模型及其在发作预测与抑制中的应用研究，2021-01至2024-12，参加。

4. 陕西省科学技术厅，陕西省重点研发计划（重点产业创新链（群）-社会发展领域），心律失常心电的自动判读与预警系统及其在健康数据分析与管理平台上的实现，2019-01至2021-12，参加。

5. 陕西省科学技术厅，陕西省重点研发计划（重点项目-工业领域）， 健康大数据分析与管理平台的建设与开发，2017-01至2018-12, 参加。

6. 国家自然科学基金委员会，面上项目，高复杂性脑电数据的数据挖掘及其在癫痫发作自动检测中的应用研究, 2015-01至2018-12，参加。

（二）学术论文(近五年)

1. Jiangling Song, Kim J A, Struck A F, et al. A model of metabolic supply-demand mismatch leading to secondary brain injury[J]. Journal of neurophysiology, 2021, 126(2): 653-667.

2. Sophia Ligtenstein, Jiangling Song, Jin J, et al. Do triphasic waves and nonconvulsive status epilepticus arise from similar mechanisms? A computational model[J]. Journal of Clinical Neurophysiology, 2021, 38(5): 366-375.

3. Jiangling Song, Qiang Li, Bo Zhang, B. Westover and Rui Zhang*, A new neural mass model driven method and its application in early epileptic seizure detection,  IEEE Transactions on Biomedical Engineering. 2020, 67(8):2194-2205.

4. Jiangling Song, Qiang Li, Min Pan, Bo Zhang, M.Brandon Westover, Rui Zhang*. Seizure tracking of epileptic EEG using a model-driven approach. Journal of Neural Engineering. 2020, 17(1): 016024.

5. Jiangling Song, Luis Paixao, Qiang Li, Sihui Li, Rui Zhang, M.Westover Brandon. A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy. Journal of Computational Neuroscience. 2019, 47(2-3)：109-124.

6. Qiang Li, Jiangling Song, Sihui Li, M.Brandon Westover, Rui Zhang*. Effects of cholinergic neuromodulation on thalamocortical rhythms during NREM sleep: a model study. Frontiers in Computational Neuroscience, 2020, 13: 100.

7. Jiangling Song, Sun H, Jing J, et al. A Mean Field Model of Acute Hepatic Encephalopathy[C]//2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018: 2366-2369.

8. Shuling Zhang, Bo Zhang, Yongli Su, Jiangling Song. A novel EEG-complexity-based feature and its application on the epileptic seizure detection. International Journal of Machine Learning and Cybernetics, 2019, 33(1):1-10.

9. Jiangling Song and Rui Zhang*. Application of extreme learning machine to epileptic seizure detection based on lagged Poincaŕe plots. Multidimensional System and Signal Processing, 2017, 28(3): 945-959.

10. Jian Jia, Goparaju B, Jiangling Song, et al. Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain[J]. Biomedical Signal Processing and Control, 2017, 38: 148-157.

11. Qiang Li, Meina Ye, Jiangling Song, Rui Zhang*. Epileptic Seizure Detection Using EEGs Based on Kernel Radius of Intrinsic Mode Functions. Lecture Notes on Computer Science, 2017, 10594:11-22.

12. Jiangling Song, Wenfeng Hu and Rui Zhang*. Automated detection of epileptic EEGs using a novel fusion feature and extreme learning machine. Nuerocomputing, 2016, 175:383-391.

13. Jiangling Song, Rui Zhang*. Automatic seizure detection using a novel EEG feature based on nonlinear complexity.  IEEE　Proceedings of International Joint Conference on Neural Network (IJCNN)，2016: 1686 – 1695.（EI）