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国家“973”计划项目2项(项目号2011CB711000，2014CB744600)

国家国际科技合作专项1项(项目号2013DFA11140)

国家自然科学基金国际合作项目1项(项目号61210010)

国家自然科学基金项目2项(项目号60973138, 61300231)

国家级重点专项项目4项

目前在研项目：

国家级重点专项项目1项

国家自然科学基金重点项目1项(项目号616320141)

国家自然科学基金重大仪器专项1项(项目号161627808)

发表SCI/EI论文10余篇，近5年主要的SCI/EI论文如下：

[1]Qinglin Zhao, Bin Hu*, Yujun Shi, Yang Li, Philip Moore, Minghou Sun, and Hong Peng. Automatic Identification and Removal of Ocular Artifacts in EEG—Improved Adaptive PredictorFiltering for Portable Applications, IEEE TRANSACTIONS ON NANOBIOSCIENCE, VOL. 13, NO. 2, JUNE 2014. (SCI)

[2]Qinglin Zhao, Hong Peng, Bin Hu, Quanying Liu, Li Liu,YanBing Qi, and Lanlan Li. Improving Individual Identification in Security Check with an EEG based Biometric Solution. Brain Informatics 2010, Toronto:145-155.(EI)

[3]Qinglin Zhao, Hong Peng, Bin Hu, LanLan Li, YanBing Qi,QuanYing Liu, and Li Liu. Towards an efficient and accurate EEG data analysis in EEG-based individual identification. UIC 2010, xi'an, :534-547.(EI)

[4]Qinglin Zhao, Bin Hu, Yunpeng Li, Hong Peng, Lanlan Li, Quanying Liu, Yang Li, Qiuxia Shi,Jun Feng. An Alpha Resting EEG Study on Nonlinear Dynamic Analysis for Schizophrenia. 6th Annual International IEEE EMBS Conference on Neural Engineering San Diego, California, 6 - 8 November, 2013.p.484-488. (EI)

[5]Qinglin Zhao, Bin Hu, Li Liu, Martyn Ratcliffe, Hong Peng, Jingwei Zhai, Lanlan Li, Qiuxia Shi,Quanying Liu, Yanbing Qi. AN EEG BASED NONLINEARITY ANALYSIS METHOD FOR SCHIZOPHRENIA DIAGNOSIS, Proceedings of the IASTED International ConferenceBiomedical Engineering (BioMed 2012) February 15 - 17, 2012 Innsbruck, Austria,p. 136-142(EI)

[6]Bin Hu*, Fang Zheng, Qinglin Zhao,Hong Peng, Xiaowei Zhang,Chengsheng Mao, Jürg Gutknecht,Dennis Majoe, Dawei Song,Ning Zhong.Ubiquitous EEG-based cognitive performance monitoring in astronauts.Human Performance in Space: Advancing Astronautics Research in China,《Science》supplement. 2014,Section 3:49-50.( Supplement to Science)

[7]Bin Hu, Hong Peng, Qinglin Zhao, Bo Hu, Dennis Majoe, Fang Zheng, Philip Moore. Signal Quality Assessment Model for Wearable EEG Sensor on Prediction of Mental Stress.IEEE Transactions on NanoBioscience.2015, 14(5). DOI: 10.1109/TNB.2015.2420576. (SCI)

[8]Shi Yan, Li Xu, Qinglin Zhao, and Yafei Tian. Elementary Operation Approach to Order Reduction for Roesser State-Space Model of Multidimensional Systems, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR PAPERS, VOL. 61, NO. 3, MARCH 2014,p.789-802(SCI)

[9].Yang Li, Bin Hu, Qinglin Zhao, Hong Peng, Yujun Shi, Yunpeng Li,The Removal of ocular artifactsfrom EEG Signals:an Adaptive Modeling technique for Portable Applications, 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013.p.222-228.(EI)

[10]Xiaowei Li, Qinglin Zhao, Li Liu, Hong Peng, Yanbing Qi,Chengsheng Mao, Zheng Fang, Quanying Liu IMPROVE AFFECTIVE LEARNINGWITH EEG APPROACH, Computing and Informatics, Vol. 29, 2010, pp.1001–1014, V 2010-Aug-20. (SCI)

[11]Qinglin Zhao, Hua Jiang, Bin Hu,?Yonghui Li, Ning Zhong, Mi Li, Wenhua Lin, and Quanying Liu，Nonlinear Dynamic Complexity and Sources of Resting-state EEG in Abstinent Heroin Addicts，IEEE TRANSACTIONS ON NANOBIOSCIENCE, VOL. 16, NO. 5, JULY 2017 p.349-355.(SCI)

[12]Qinglin Zhao, Bin Hu*, Wenhua Lin, Zhixue Li, HuaJiang, Zhong Xue and hongqian Li, Nonlinear Dynamic Analysis of Resting EEG Alpha Activity for Heroin Addicts, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).p.533-537 (EI)

[13]Yonghao Ma, Fuze Tian, Qinglin Zhao, Bin Hu,Design and Application of Mental Fatigue Detection System Using Non-Contact ECG and BCG Measurement,2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(EI)

[14]Qinglin Zhao, Hongqian Li, Bin Hu*, Yonghui Li, Céline R. Gillebert,

DanteMantini and Quanying Liu, Neural Correlates of Drug-Related

Attentional Bias in Heroin,Front.Frontiers in Human Neuroscience.doi:10.3389/fnhum.2017.00646(SCI)

[15]Qinglin Zhao, Hongqian Li,, Bin Hu*, Haiyan Wu and Quanying Liu,Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization,Frontiers inNeuroscience.doi: 10.3389/fnins.2017.00681(SCI)

1.2018年国家技术发明二等奖