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相洁
 
发布时间:2020-02-25 15:37:48 作者: 点击数:

姓名

相洁

性别

 

说明: /__local/E/72/7B/890A78E48BC77B915F7418073A1_74731836_1236.jpg

学历

研究生

学位

博士

 

出生年月

1970.08

政治面貌

群众

 

职称

教授

职务

系主任

 

硕导

博导

邮箱

xiangjie@tyut.edu.cn

招生专业

计算机科学与技术、软件工程、生物医学工程、数学

研究方向

大数据管理与分析、脑科学与智能计算、计算机网络与信息安全

研究生指导

2004年以来累计指导硕士研究生37名,2010年以来累计指导博士研究生3

学习与工作经历

【学习经历】

11988/09-1992/07,原太原工业大学,计算机技术,学士

21992/09-1995/07,原太原工业大学,计算机技术,硕士

32005/09-2010/05,太原理工大学,计算机应用,博士

【工作经历】

11995/07-2010/07,太原理工大学,计算机科学与技术,讲师

22010/07-2015/10,太原理工大学,计算机科学与技术,副教授

32015/10-至今,太原理工大学,计算机科学与技术,教授

42011/03 -2014/03,北京工业大学,电气工程及其自动化学院,博士后

52014.11 -2015.11 日本冈山大学,高级访问学者

 

主讲课程

本科生课程:Java语言程序设计、软件开发环境与工具

研究生课程:高级软件工程、高级人工智能、模式识别与机器学习

主要科研项目及成果

[1] 国家自然科学基金面上项目,61873178,阿尔兹海默症患者多尺度动态脑网络建模及分析, 2019.01 - 2022.12, 63万元,主持

[2] 山西省重点研发计划(国际科技合作方面),基于多尺度动态脑网络的阿尔兹海默症早期智能诊断技术研究,2018.12-2021.12,10万元,主持

[3]  国家自然科学基金面上项目,61373101,多模态脑功能复杂网络分析方法及应用研究, 2014/01-2017/12, 75万元,主持,结题

[4]  山西省基础研究计划项目,2011011015-4,基于fMRI的脑机接口数据分析方法研究,2011/01-2013/125万,主持,结题

[5]  北京市博士后科研活动资助项目抑郁症fMRI数据分析及辅助诊断模型构建研究, 2011/01 – 2013/12,5万,主持,结题

[6]  高教司教改项目基于计算思维的JAVA程序设计课程改革及实施方案研究, 2013/01 – 2014/12,0.4万,主持,结题

[7]  山西省科技攻关项目, 20140321002-01, 基于脑网络抑郁症辅助诊断系统的研究与应用, 2014/01 – 2016/12, 20万,主持,结题

[8]  山西省留学基金项目, 2016-037,MRI数据非线性分析方法及应用研究, 2016/06 – 2019/092万,主持,结题

[9]  国家科技支撑计划,153210287-C,三晋数字化文化旅游关键支撑技术研究,2015/07 – 2017/12, 177万,主要参与人,结题

论文、著作、专利

【论文】

[1] Xiang J, Tian C, Niu Y, et al.   Abnormal entropy modulation of the EEG signal in patients with schizophrenia   during the auditory paired-stimulus paradigm[J]. Frontiers in   Neuroinformatics, 2019, 13: 4.

[2] Wang B, Li P, Li D, Xiang   J, et al. Increased Functional Brain Network Efficiency During   Audiovisual Temporal Asynchrony Integration Task in Aging[J]. Frontiers in   aging neuroscience, 2018, 10.(通讯作者)

[3] Niu Y, Wang B, Zhou M, Xiang J,   et al. Dynamic Complexity of Spontaneous BOLD Activity in Alzheimer’s Disease   and Mild Cognitive Impairment Using Multiscale Entropy Analysis[J]. Frontiers   in neuroscience, 2018, 12.(通讯作者

[4] Li Y, Huang M, Xiang J, et al.   Correlation of Interpedicular Distance with Radiographic Parameters,   Neurologic Deficit, and Posterior Structures Injury in Thoracolumbar Burst   Fractures[J]. World neurosurgery, 2018, 118: e72-e78.

[5] Wang B, Li T, Zhou M, Xiang   J, et al. The Abnormality of Topological Asymmetry in Hemispheric Brain   Anatomical Networks in Bipolar Disorder[J]. Frontiers in neuroscience, 2018,   12.

[6] Guo H, Yan P, Cheng C, Xiang   J, et al. fMRI classification method with multiple feature fusion based   on minimum spanning tree analysis[J]. Psychiatry research. Neuroimaging,   2018, 277: 14-27.

[7] Guo H, Li Y, Xu Y, Xiang J, et   al. Resting-State Brain Functional Hyper-Network Construction Based on   Elastic Net and Group Lasso Methods[J]. Frontiers in neuroinformatics, 2018,   12.

[8] Yang Y, Zhou M, Niu Y, Xiang J,   et al. Epileptic seizure prediction based on permutation entropy[J].   Frontiers in computational neuroscience, 2018, 12.(通讯作者)

[9] Li D, Li T, Niu Y, Xiang J, et   al. Reduced hemispheric asymmetry of brain anatomical networks in attention   deficit hyperactivity disorder[J]. Brain imaging and behavior, 2018: 1-16.

[10] Cui X. Xiang J, et   al. Classification of Alzheimer’s disease, mild cognitive impairment and   normal controls with subnetwork selection and graph kernel principal   component analysis based on minimum spanning tree brain functional   network[J]. Frontiers in computational neuroscience, 2018, 12: 31.

[11] Wang B, Li T, Niu Y,Xiang   J,et al. Differences in neural responses to ipsilateral stimuli in   wide-view fields between face-and house-selective areas[J]. PloS one, 2018,   13(2): e0192532.

[12] Guo H, Zhang F, Chen J, Xiang   J,et al. Machine learning classification combining multiple features of a   hyper-network of fMRI data in Alzheimer's disease[J]. Frontiers in   neuroscience, 2017, 11: 615.(通讯作者)

[13] Wang B, Niu Y, Miao L, Xiang   J,et al. Decreased complexity in Alzheimer's disease: resting-state fMRI   evidence of brain entropy mapping[J]. Frontiers in aging neuroscience, 2017,   9: 378.(通讯作者)

[14] Li J, Guo H, Ge L,Xiang   J, et al. Mechanism of Cerebralcare Granule® for Improving Cognitive   Function in Resting-State Brain Functional Networks of Sub-healthy   Subjects[J]. Frontiers in neuroscience, 2017, 11: 410.

[15] Han X H, Quan L, Xiong X Y,   Xiang J,et al. A novel data clustering algorithm based on modified   gravitational search algorithm[J]. Engineering Applications of Artificial   Intelligence, 2017, 61: 1-7.

[16] Wang B, Zhao J, Wu Z, Xiang   J,et al. Eccentricity Effects on the Efficiency of Attentional Networks:   Evidence From a Modified Attention Network Test[J]. Perception, 2016, 45(12):   1375-1386.

[17] Xiang J, Jia X, Li H, et al. Altered   spontaneous brain activity in cortical and subcortical regions in Parkinson’s   disease[J]. Parkinson’s disease, 2016.

[18] Xiang J, Han X H, Duan F, et al. A   novel hybrid system for feature selection based on an improved gravitational   search algorithm and k-NN method[J]. Applied Soft Computing, 2015, 31:   293-307.

[19] Xiang J, Li C, Li H, et al. The   detection of epileptic seizure signals based on fuzzy entropy[J]. Journal of   neuroscience methods, 2015, 243: 18-25.

[20]  Cao R, Wu Z, Li H, Xiang J,et al. Disturbed connectivity of EEG   functional networks in alcoholism: a graph-theoretic analysis[J]. Bio-medical   materials and engineering, 2014, 24(6): 2927-2936. 

[21] Liang P, Xiang J,   Liang H, et al. Altered amplitude of low-frequency fluctuations in early and   late mild cognitive impairment and Alzheimer's disease[J]. Current Alzheimer   Research, 2014, 11(4): 389-398.

[22] Guo H, Cheng C, Cao X, Xiang   J,et al. Resting-state functional connectivity abnormalities in first-onset   unmedicated depression[J]. Neural regeneration research, 2014, 9(2): 153

[23] Xiang J, Guo H, Cao R, et al. An   abnormal resting-state functional brain network indicates progression towards   Alzheimer's disease[J]. Neural regeneration research, 2013, 8(30): 2789.

[24] Xiang J, Cao R, Li L. Emotion   recognition based on the sample entropy of EEG[J]. Bio-medical materials and   engineering, 2014, 24(1): 1185-1192.

【专利】

基于脑网络模块结构特征的功能磁共振影像数据分类方法(已授权),专利号:201410101262.7

学术兼职

计算机学会会员、山西省计算机学会理事、CME理事、NRRJ Neurosci MethodsJBHIEntropy等期刊审稿专家

个人荣誉

2019年最美理工人提名奖、2018年山西省三八红旗手、太原理工大学2013年本科教学优秀一等奖

 

 
 
 
 
 
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