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Biography

  • Zhenghao Guo is an Assistant Professor in Biomedical Engineering. He earned his Ph.D. from the Department of Engineering, King's College London (2023 QS Global Ranking 37), under supervision of Prof. Zoran Cvetkovic (IEEE Senior Member) and Prof. Osvaldo Simeone (IEEE Fellow). He holds a Master's degree from the College of Information Science and Technology, Beijing Normal University (985/211 Project), under supervision of Prof. Bin Hu (IEEE Fellow) and Prof. Xia Wu (IEEE Senior Member). Dr. Guo completed his Bachelor's degree at College of Computer Science, Sichuan University (985/211 Project).


    Dr. Guo's primary research areas include signal processing, information theory, machine learning, system identification, and their applications in biomedical engineering. As the lead author, he has contributed to multiple publications in prestigious international journals, such as IEEE Transactions on Biomedical Engineering and the Journal of Neural Engineering. Dr. Guo has also presented his research at several high-profile international academic conferences, including IEEE ICASSP and IEEE EMBC.


    People with an interest in the field of biomedical signal processing are warmly invited to get in touch: zhenghaoguo@dlut.edu.cn.


Education

  • Time
    Degree | Major
    University | College
    Supervisor
    10/2018 - 06/2023
    Doctor of Philosophy
    Electronic Engineering
    Department of Engineering
    King's College London
    Prof. Zoran Cvetkovic
    Prof. Osvaldo Simeone
    09/2015 - 06/2018 Master of Engineering
    Computer Application Technology
    College of Information Science and Technology
    Beijing Normal University
    Prof. Bin Hu
    Prof. Xia Wu
    09/2011 - 06/2015 Bachelor of Engineering
    Computer Science and Technology
    College of Computer Science
    Sichuan University


Employment

  • Time Position Employer

    10/2023 - Now Assistant Professor School of Biomedical Engineering
    Dalian University of Technology



Research Interest...

    • Signal Processing (Time-frequency Analysis, Wavelets)

    • Information Theory (Entropy, Mutual Information, Transfer Entropy)

    • Machine Learning (Dictionary Learning, Sparse Representation, Optimization, Feature Selection, Classification, Clustering)

    • Linear System Identification (Errors-in-variables Systems)

    • Biomedical Signal Processing

Selected Publicat...

  • [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.

Group Members

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Zhenghao Guo

Gender:Male Alma Mater:King's College London Main positions:Assistant Professor Degree:Doctoral Degree School/Department:School of Biomedical Engineering Business Address:A1211, Building Haishan E-Mail:zhenghaoguo@dlut.edu.cn