董群喜 |
预聘助理教授 |
学科:计算机科学与技术 |
方向:脑健康工程 |
电子邮件:dongqx@bit.edu.cn |
办公地址:北京市海淀区中关村南大街5号bob手机在线登陆7号教学楼404室 |
个人简介
董群喜,bob手机在线登陆预聘助理教授;长期从事脑功能和结构建模研究。近五年来,发表期刊和会议论文10余篇,其中以第一作者或第二作者身份在神经影像领域的项级或重要期刊上发表SCI论文7篇(包括Medical ImageAnalysis,Neuroimage: clinical, Journal of Alzheimer’s Disease, Journal of Neural Engineering)。
教育/培训经历
2009年9月–2017年12月计算机应用技术博士
2016年5月–2016年8月Institute of Neuroscience and Medicine Medical Imaging Physics,Juelichresearch center, Germany,项目合作交流
2013年9月–2015年8月Institute of Neuroscience and Medicine Medical Imaging Physics,Juelichresearch center, Germany,联合培养博士生
2005年9月–2009年7月计算机科学学士
工作经历
2021年1月-至今bob手机在线登陆医工融合研究院
2018年5月–2020年12月美国亚利桑那州立大学计算机学院几何系统实验室,博士后
学术任职
2020Cluster computing [J]评审
2019Brain Imaging and Behavior [J]评审
2019International Journal of Data Mining and Bioinformatics [J]评审
2018IEEE Transactions on Affective Computing [J]评审
研究领域
神经影像计算
所获奖励/荣誉
2016德国Juelichresearch center项目交流奖学金
2015留学基金委全额奖学金
2013兰州大学全额奖学金
2012兰州大学特等奖学金
参与项目
ARIZONA ALZHEIMER’S CONSORTIUM 2020-2021 Scientific Project: Developing A Univariate Neurodegeneration Imaging Biomarker with Low-Rank and Sparse Subspace Decomposition, 2019年-2021年。
NIH/NIBIB(R01EB025032):Predicting the Early Childhood Outcomes of Preterm Brain Shape Abnormalities,2017年-2021年。
NIH/NIA(RF1AG051710):Multi-Source Sparse Learning to Identify MCI and Predict Decline,2016年-2020年。
ASU-Mayo Seed Grant:Integrating Genomic and Imaging Biomarkers for Early Detection of Alzheimer’s Disease,2019年。
SCI Journal paper
QunxiDong, Wen Zhang, Cynthia M.Stonnington,JianfengWu, Boris A. Gutman,KeweiChen, et al. "Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline [J]."NeuroImage: Clinical (2020) In Press (SCI Q1; 5-year IF:4.791; 2020 IF: 4.35).
QunxiDong, Wen Zhang,JianfengWu,BolunLi, Emily H.Schron, Travis McMahon,JieShi et al. "Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects [J]."NeuroImage: Clinical (2019): 101744(SCI Q1; 5-year IF:4.791; 2020 IF: 4.35)
Dong Q,Zhang J, Li Q, Wang J, Lepore N. Thompson PM, Caselli RJ, Ye J, Wang Y. Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images [J], Journal of Alzheimer’s Disease (2020)(SCI Q1; 5-year IF:3.908; 2020 IF: 3.909)
Zhang J,Dong Q, Shi J, Li Q,StonningtonCY, Gutman BA, Chen K, Reiman EM, Caselli RJ, Thompson PM, Ye J, Wang Y, ADNI Group, Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding, Medical Image Analysis, 2021.(SCI Q1; 2019 IF: 11.148)
Gang Wang,QunxiDong,JianfengWu, YiSu,KeweiChen,QingtangSu,XiaofengZhang,JinguangHao, Tao Yao,CaimingZhang, Richard J. Caselli, Eric M. Reiman, Wang Y. Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition [J], Medical ImageAanalysis, 2021(SCI Q1; 2019 IF: 11.148)
Jessica Rosenberg,QunxiDong, Esther Florin, PraveenSpripad, Frank Boers, MartinaReske,Nadim Joni Shah, JürgenDammers.Conflict processing networks: A directional analysisof stimulus-response compatibilities using MEG [J],PLOS ONE, 2021(SCI Q1; 2020 IF: 2.870).
Hu, Bin,QunxiDong,YanrongHao, Qinglin Zhao, Jian Shen, and Fang Zheng. Effective brain network analysis with resting-state EEG data: a comparison between heroin abstinent and non-addicted subjects [J]. Journal of Neural Engineering 14, no. 4 (2017): 046002(SCI Q1; 5-year IF:5.123; 2019 IF: 4.141)
Personal Resume
QunxiDong,Assistant Professor atInstitute of Engineering Medicine, Beijing Institute of Technology. Email: dongqx@bit.edu.cn.
Education Background
2009-2017, Ph.D. in Computer applied technology, Lanzhou University, China;
2013-2015, Joint training of doctoral students,Institute of Neuroscience and Medicine (INM) in Germany;
2005-2009, BSc in Computer Science, Lanzhou University, China.
Positions and Employment
Assistant Professor |
2020.1- |
China |
Institute of Engineering Medicine, Beijing Institute of Technology |
Postdoctoral |
2018.5-2020.12 |
USA |
Arizona StateUniversity |
Professional Membership/Academic Appointments
He is the reviewer of Brain Imaging and Behavior, PLOS ONE, IEEE Transactions on Affective Computing and International Journal of Data Mining and Bioinformatics.
Research and Teaching Interest
Neuroimage computing