学位:博士
性别:男
毕业院校:伦敦大学国王学院
所在单位:医学部
电子邮箱:zhenghaoguo@dlut.edu.cn
郭正豪,助理研究员,依托于丛丰裕教授团队;博士毕业于英国伦敦大学国王学院工程系(Department of Engineering,King's College London,2023QS世界大学排名37),导师Zoran Cvetkovic教授(IEEE Senior Member)、Osvaldo Simeone 教授(IEEE Fellow);硕士毕业于北京师范大学信息科学与技术学院(985/211工程),导师胡斌教授(国家'千人计划'入选者)、邬霞教授(国家'杰青'、'优青');学士毕业于四川大学计算机学院(985/211工程)。
主要研究方向为信号处理、信息论、机器学习、系统鉴别在生物医学工程中的应用;近年来以第一作者在IEEE Transactions on Biomedical Engineering、Journal of Neural Engineering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;与英国精神病学、心理学和神经科学研究所(Institute of Psychiatry, Psychology & Neuroscience,2021USNEWS世界学科排名2)、英国帝国理工学院(Imperial College London,2023QS世界大学排名6)等保持着良好的合作关系。
欢迎对生物医学信号处理研究领域感兴趣的老师、同学与我联系!联系方式:zhenghaoguo@dlut.edu.cn。
时间 | 学位 | 专业 | 院校 | 指导老师 |
10/2018 - 06/2023 | 哲学博士 | 电子工程 |
伦敦大学国王学院 | 工程系 | Prof. Zoran Cvetkovic | Prof. Osvaldo Simeone |
09/2015 - 06/2018 |
工学硕士 | 计算机应用技术 |
北京师范大学 | 信息科学与技术学院 | 胡斌 教授 | 邬霞 教授 |
09/2011 - 06/2015 |
工学学士 | 计算机科学与技术 |
四川大学 | 计算机学院 |
时间 | 职位 |
单位 |
|
10/2023 - 至今 | 助理研究员 | 大连理工大学 | 生物医学工程学院 |
信号处理(时频分析、小波变换)
信息论(熵、互信息、传递熵)
机器学习(字典学习、稀疏表示、优化算法、特征选择、分类算法、聚类算法)
线性系统鉴别(含误差变量模型)
生物医学信号处理
[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] 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.
[7] 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.
[8] 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.
[9] 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)
[10] 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.