Hossein Haghbin

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Welcome

I am an Assistant Professor of Computer Science at
Persian Gulf University, Bushehr, Iran.
My research focuses on Functional Data Analysis, Deep Learning, and Business Intelligence applications in industry.

🧪 Research Interests

  • Functional Data Analysis
  • Machine Learning
  • Deep Learning (ResNet1D, Transformers, KANs)
  • Fault Diagnosis in Rotary Devices
  • Remaining Usful Life in Rotary Devices

📚 Publications (Selected)

  • H. Haghbin, Y. Zhao, and M. Maadooliat(2025), Regularized multivariate functional principal component analysis for data observed on different domains, Foundations of Data Science, In press.

  • Haghbin, H., Trinka, J., & Maadooliat, M. (2025). Rfssa: An R package for functional singular spectrum analysis. The R Journal, 16(2), 82–98.

  • Haghbin, H., Maadooliat, M. (2023). A journey from univariate to multivariate functional time series: A comprehensive review. Wiley Interdisciplinary Reviews: Computational Statistics, e1640. https://doi.org/10.1002/wics.1640

  • Trinka, J., Haghbin, H., & Shang, H. L. (2023). Functional time series forecasting: Functional singular spectrum analysis approaches. Stat, 12(1). https://onlinelibrary.wiley.com/journal/20491573

google Scholar List →

PGU Full List →

📖 Teaching

  • Fall 2025: Deep Learning (Graduate)
  • Spring 2025: Python Programming (Undergraduate)

Teaching Materials →

👩‍🎓 Supervision

  • MSc: Sayedeh Zoreh Mousavi (Ongoing), Fault Detection in Rotary Devices using Deep Learning.
  • MSc: Mojib porohan (2025) A Hybrid Model Based on Clustering and Recurrent Neural Networks for Time Series Forecasting.

🌍 Projects

  • Feasibility Study of Business Intelligence in Iranian Offshore Oil Company – Bushehr Zone (Industry Sabbatical).

🔔 News