个人简介

董群喜，北京理工大学预聘助理教授；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 Image Analysis，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, Juelich research center, Germany，项目合作交流

2013年9月–2015年8月 Institute of Neuroscience and Medicine Medical Imaging Physics, Juelich research 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 北京理工大学英国威廉希尔公司

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

2020 Cluster computing [J] 评审

2019 Brain Imaging and Behavior [J]评审

2019 International Journal of Data Mining and Bioinformatics [J] 评审

2018 IEEE 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Juelich research 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

Qunxi Dong, Wen Zhang, Cynthia M. Stonnington, Jianfeng Wu, Boris A. Gutman, Kewei Chen, 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).

Qunxi Dong, Wen Zhang, Jianfeng Wu, Bolun Li, Emily H. Schron, Travis McMahon, Jie Shi 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, Stonnington CY, 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, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Wang Y. Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition [J], Medical Image Aanalysis, 2021（SCI Q1; 2019 IF: 11.148）

Jessica Rosenberg, Qunxi Dong, Esther Florin, Praveen Spripad, Frank Boers, Martina Reske, Nadim Joni Shah, Jürgen Dammers. Conflict processing networks: A directional analysis of stimulus-response compatibilities using MEG [J], PLOS ONE, 2021 (SCI Q1; 2020 IF: 2.870).

Hu, Bin, Qunxi Dong, Yanrong Hao, 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

Qunxi Dong, Assistant Professor at Institute 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 State University

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