Shirin Nezampour (Ph.D. Student)

1. "A new approach to nonparametric estimation of multivariate spectral density function using basis expansion", Computational Statistics, Published, (2024)
2. Package on GitHub and Shiny App

Jesse Adikorley (Ph.D. Student)

1. "Regularized functional singular spectrum analysis", To be submitted to Applied Mathematics and Computation
2. Package on GitHub and CRAN

Soroush M. Dehkordi (Ph.D. Student) - co-advising with Dr. Schrodi

1. "On Bayes Decision Rule for Testing Multiple Hypotheses with Non-symmetric Alternatives", Journal of Statistical Theory and Practice, Vol. 15, 55, (2021)
2. "GWID: A new Genome-Wide identity-by-descent visualization and analysis tool for disease gene mapping", To be submitted to Bioinformatics
3. Package on GitHub and Shiny App

Mobina Pourmoshir (M.Sc. Student)

1. Multivariate functional principal components analysis via penalized rank one approximation
2. Package on GitHub and CRAN

Yue Zhao (Current Job: Postdoctoral Associate @ University of Minnesota School of Public Health) co-advised with Dr. Haghbin

1. "Regularized multivariate functional Principal Component Analysis", Under Revision
2. Package on GitHub and CRAN

Jordan Trinka (Current Job: AI Engineer @ Booz Allen Hamilton)

1. "Rfssa: An R Package for functional singular spectrum analysis", The R Journal, Accepted, (2024)
2. "Functional time series forecasting: Functional singular spectrum analysis approaches", Stat, Vol. 12, e621, (2023)
3. "Multivariate functional Singular Spectrum Analysis: A nonparametric approach for analyzing multivariate functional time series", a book chapter in Springer, ISSN: 2524-7735, 187-221, (2022)
4. "Functional singular spectrum analysis", Stat (Special Issue in Statistics and Data Science), Vol. 10, e330, (2021)
5. Package on GitHub and CRAN

Anahita Nodehi (Current Job: Research Asso. @ University of Bristol) co-advised with Dr. Golalizadeh

1. "Torus probabilistic principal component analysis", Submitted to Journal of Classification
2. "Estimation of multivariate wrapped models for data on a p-Torus", Computational Statistics, Vol. 36, 193-215, (2021)

S. Morteza Najibi (Current Job: Data Scientist @ Lund University)

1. "Functional singular spectrum analysis", Stat (Special Issue in Statistics and Data Science), Vol. 10, e330, (2021)
2. Package on GitHub and CRAN
3. "Protein structure classification and loop modeling using multiple Ramachandran distributions", Computational and Structural Biotechnology, Vol. 15, 243-254 (2017)
4. Shiny App


5. "Collective estimation of multiple bivariate density functions with application to angular-sampling-based protein loop modeling", Journal of the American Statistical Association, Vol. 111, No. 513, 43-56, (2016)