🧪 Research
Here’s an overview of my academic profile and selected publications:
🎯 Research Interests
- Functional Data Analysis
- Deep Learning for Industrial Data
- Fault Diagnosis and Remaining Useful Life (RUL) Prediction in Rotary Machines
Profile: Hossein Haghbin on Google Scholar
📚 Selected Publications (APA Style)
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
Kharrati-Kopaei, M., Shenavari, Z., & Haghbin, H. (2023). combinIT: An R package for combining interaction tests for unreplicated two-way tables. The R Journal, 15(1), 284–296.
Trinka, J., Haghbin, H., & Maadooliat, M. (2022). Multivariate functional singular spectrum analysis: A nonparametric approach for analyzing multivariate functional time series. In Innovations in Multivariate Statistical Modeling: Navigating Theoretical and Practical Advances. Springer. https://link.springer.com/
📘 Full Publication List
🔗 Browse my full publication list on Google Scholar
This page is generated using my Google Scholar profile (Public until 2025). Metrics and citation counts are accurate as of the date of this page.