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师资队伍
师资队伍

郭正豪

2025-11-14

个人简介:

郭正豪,哲学博士,

主要研究方向为信号处理、信息论、机器学习、系统辨识在脑机接口中的应用;近年来以第一作者在IEEE TBME、JNE等国际权威期刊上发表了多篇论文,并在IEEE ICASSP、IEEE EMBC等多个国际高水平学术会议上做过报告;与英国伦敦大学国王学院、英国帝国理工学院等保持着良好的合作关系。课题组每年招收多名博士生、硕士生,欢迎对信号与信息处理研究领域感兴趣的同学与我联系!联系方式:zhenghaoguo@dlut.edu.cn。

研究方向:

1、信号处理(时频分析、盲源分离、字典学习、稀疏表示)

2、信息论(熵、互信息、定向信息、传递熵)

3、机器学习(优化算法、特征选择、分类算法、聚类算法)

4、系统辨识(含误差变量模型)

5、脑机接口(脑电图、肌电图)

学术兼职:

IEEE Member,Nature npj Digital MedicineIEEE TCDS、ICASSP、SiPS等期刊、会议审稿人。

教育经历:

2018.10-2023.06 伦敦大学国王学院-工程系-电子工程-哲学博士

2015.09-2018.06 北京师范大学-信息科学与技术学院-计算机应用技术-工学硕士

2011.09-2015.06 四川大学-计算机学院-计算机科学与技术-工学学士

工作经历:

2023.10-至今 大连理工大学-医学部-助理研究员

论文成果(第一作者/通信作者):

[1] Guo, Z.*, Xu, Y., Rosenzweig, J., McClelland, V.M., Rosenzweig, I. and Cvetkovic, Z., 2024. Subband independent component analysis for coherence enhancement. IEEE Transactions on Biomedical Engineering. (JCR:Q1, IF: 4.756)

[2] Guo, Z., Lin, J.P., Simeone, O., Mills, K.R., Cvetkovic, Z. and McClelland, V.M.*, 2024. Cross-frequency cortex-muscle interactions are abnormal in young people with dystonia. Brain Communications. (JCR:Q1, IF: 4.800)

[3] Guo, Z., Lin, J.P., Simeone, O., Mills, K.R., Cvetkovic, Z. and McClelland, V.M.*, 2024. Cross-frequency cortex-muscle interactions are abnormal in young people with dystonia. Developmental Medicine & Child Neurology. (Abstract, JCR:Q1, IF: 3.800)

[4] Guo, Z.*, McClelland, V.M., Simeone, O., Mills, K.R. and Cvetkovic, Z., 2021. Multiscale wavelet transfer entropy with application to corticomuscular coupling analysis. IEEE Transactions on Biomedical Engineering. (JCR:Q1, IF: 4.756)

[5] Guo, Z., Wu, X.*, Liu, J., Yao, L. and Hu, B., 2018. Altered electroencephalography functional connectivity in depression during the emotional face-word Stroop task. Journal of Neural Engineering. (JCR:Q1, IF: 5.043)

[6] Li, X., Guo, Z.*, Wang, C., McClelland, V.M., Cvetkovic, Z. and Cong, F., 2025, July. Cross-frequency mutual information for cortico-muscular coupling detection. In 2025 47th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE.

[7] Guo, Z.*, McClelland, V.M., Dai, W., Cong, F. and Cvetkovic, Z., 2024, July. Weighted errors-in-variables modelling for detection of cortico-muscular couplings. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE.

[8] Guo, Z.*, McClelland, V.M., Dai, W. and Cvetkovic, Z., 2023, June. Structured errors-in-variables modelling for cortico-muscular coherence enhancement. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.

[9] Guo, Z.*, McClelland, V.M. and Cvetkovic, Z., 2021, November. Unravelling causal relationships between cortex and muscle with errors-in-variables models. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE.

[10] Guo, Z., Wu, X. and Hu, B.*, 2018, April. Abnormally decreased functional connectivity of affective interference in depression based on electroencephalography. In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI). IEEE. (Abstract)

[11] Guo, Z., Long, H., Yao, L., Wu, X.* and Cai, H., 2017, November. Abnormal EEG-based functional connectivity under a face-word Stroop task in depression. In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE.


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