Puyang’s Personal Website πŸš€

πŸŽ“ Academic Journey

  • Ph.D. Candidate, Biostatistics and Data Science, UT Health Science Center at Houston

πŸ”¬ Research Interests

My research interests span a wide range of areas in biostatistics and data science, particularly applied to public health and tobacco control:

  • Analysis of data from wearable devices
  • Speech emotion recognition for medical applications
  • Longitudinal & EMA (Ecological Momentary Assessment) data analysis
  • Multivariate and time series analysis
  • Machine learning in health research
  • E-cigarette and tobacco use behaviors

πŸ“š Publications

πŸ“ Peer-Reviewed Journal Articles

  • Zhao P., Yang J., Buu A.* Applied Statistical Methods for Identifying Features of Heart Rate that Are Associated with Nicotine Vaping. The American Journal of Drug and Alcohol Abuse, Feb 2025.

  • Zhang H., Pang Z., Zhao P., Tang G., Shen L., Wang G. Pre-attentive speech signal processing with adaptive routing for emotion recognition. Biomedical Signal Processing and Control, 2025.

  • Zhang H., Zhao P.*, Tang G., Li Z., Yuan Z. Reproducible and Generalizable Speech Emotion Recognition via an Intelligent Fusion Network. Biomedical Signal Processing and Control, May 2025.

  • Zhang H.*, Huang H., Zhao P., Yu Z. Sparse Temporal-Aware Capsule Network for Robust Speech Emotion Recognition. Engineering Applications of Artificial Intelligence, 2025.

  • Zhang H.*, Huang H., Zhao P., Zhu X., Yu Z. CENN: Capsule-Enhanced Neural Network with Innovative Metrics for Robust Speech Emotion Recognition. Knowledge-Based Systems, Sep 2024.

  • Zhao P., Liu X., Yue Z., Zhao Q., Liu X., Deng Y., Wu J.* DiGAN Breakthrough: Advancing Diabetic Data Analysis with Innovative GAN-Based Imbalance Correction Techniques. Computer Methods and Programs in Biomedicine Update, 2024.

πŸ“„ Conference Proceedings

  • Zhao P., Yue Z., Liu X., Wu J. Weighted Federated Learning with Encryption for Diabetes Classification. IEEE CPS, AIxMHC, Taiwan, 2025. (Accepted)

  • Zhao P., Tian W., Xiao L., Liu X., Wu J. An Attention-Based Long Short-Term Memory Framework for Detection of Bitcoin Scams. IEEE HDIS, Tianjin, 2022. (Best Paper Nomination)

  • Zhao P., Tian W. Research on Prediction of Solar Power Considering the Methods of Statistical and Machine Learning – Based on the Data of Australian Solar Power Market. IOP Conference Series: Earth and Environmental Science, Tokyo, 2022.


πŸ“¬ Contact

Feel free to reach out if you’re interested in collaborating or have any questions about my research:

πŸ“§ Email: Puyang.Zhao@uth.tmc.edu


Tianjin UTH UTH2 Melbourne UIC Statistics HKBU


Last updated: November 2025