Biography

M. Kazemi is assistant professor of statistics at the university of Guilan since 2020. He is interested in high-dimensional/big data analysis, penalty-based regularization techniques in statistical and machine learning, data mining, robust statistics, singular spectrum analysis (SSA), and Censored Data Analysis. His published articles are available on ResearchGate (https://www.researchgate.net/profile/Mohammad-Kazemi-29).

Don't hesitate to contact me via email: m.kazemie64@yahoo.com 

 

Journal Papers

 

M. Kazemi, A. Khadivi (2026). Stability-Ranked Feature Selection for Classification in High-Dimensional Data: Combining Regularization and Machine Learning Algorithms, Computational and Applied Mathematics,  DOI:10.1007/s40314-026-03681-w

M. Fallahnejad, V. Rezaeitabar, M. Kazemi (2025). Elastic net – based K2 algorithm for Bayesian  network structure learning, Statistics - A Journal of Theoretical and Applied Statistics, DOI: https://doi.org/10.1080/02331888.2025.2591687

V. Goodarzi Vanani, D. Shahsavani, M. Kazemi (2025). A robust partial linear model combining modified Huber loss function and variable selection, Statistical Papers 66, 124. https://doi.org/10.1007/s00362-025-01745-3

 M. Kazemi, H. Mohammadi Peyhani, M. Akbari (2025). A novel leading moving average indicator using ANFIS-Wavelet hybrid method for financial market forecasting, Journal of .Mathematical Modeling, 13(4), 775-788

M. Fallahnejad, V. Rezaeitabar, M. Kazemi (2025). A generalized K2 algorithm for learning Bayesian network structures using ridge regression, Lobachevskii Journal of Mathematics, 46(4), 1567-1579. 

M. Kazemi (2024). Group Descent Algorithm in Penalized Nonparametric Additive Model, Journal of Operational Research in its Applications, 21(4), 1-14

M. Kazemi (2024). A Robust Variable Screening Approach with Application to Gene Expression Data, REVSTAT-Statistical Journal, https://revstat.ine.pt/index.php/REVSTAT/article/view/613

​​​​​​M. Kazemi (2024). Support vector machine in ultrahigh-dimensional feature space, Journal of Statistical Computation and Simulation, DOI: 10.1080/00949655.2023.2263128

M. Kazemi (2023). A Comparative Study of Singular Spectrum Analysis, Neural Network, ARIMA and Exponential Smoothing for monthly Rainfall Forecasting, Journal of Mathematical Modeling, DOI: 10.22124/jmm.2023.25412.2262

M. Kazemi, P. C. Rodrigues (2023). Robust singular spectrum analysis: Comparison between classical and robust  approaches for model fit and forecasting, Computational Statistics, doi.org/10.1007/s00180- 022-01322-4

M. Kazemi and M. Azizpour (2021). Estimation for Inverse Weibull Distribution parameters Under Type-I Hybrid Censoring, Austrian Journal of Statistics, 50, 38-51

M. Kazemi, D. Shahsavani, M. Arashi and P. C. Rodrigues (2021). Identification for partially linear regression models with autoregressive errors, Journal of Statistical Computation and Simulation, 91(7), 1441-1454

M. Kazemi (2020). Partial correlation screening for varying coefficient models, Journal of Mathematical Modelling, DOI: 10.22124/jmm.2020.15692.1379

P. C. Rodrigues, J. Pimentel, P. Messala and M. Kazemi (2020). Decomposition and forecasting of mutual investment funds using singular spectral analysis, Entropy, 22(1), 83

M. Kazemi, D. Shahsavani, M. Arashi and P. C. Rodrigues (2019). Estimation in partial linear model with spline modal function, Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2019.1622716

M. Kazemi, D. Shahsavani and M. Arashi (2019). A sure independence screening procedure for ultra-high dimensional partially linear additive models, Journal of Applied Statistics, 46(8), 1385-1403

M. Kazemi, D. Shahsavani and M. Arashi (2018). Variable selection and structure identification for ultrahigh dimensional partially linear additive models with application to cardiomyopathy microarray data, Statistics, Optimization and Information Computing, DOI: 10.19139/soic.v6i3.576

M. Kazemi, D. Shahsavani and M. Arashi (2018). Variable selection and structure identification in high dimension for partial linear additive models (in Farsi), Journal of Statistical Sciences, 12(2), 485-512.

A. Asgharzadeh, M. Kazemi and D. Kundu (2017). Estimation of P(X>Y) for Weibull distribution based on hybrid censored samples, International Journal of Systems Assurance Engineering and Management, 8(Suppl 1): 489. DOI:10.1007/s13198-015-0390-2

A. Asgharzadeh, M. Kazemi and C. Kus (2013). Analysis of the Hybrid Censored Data from the Logistic Distribution, Journal of Probability and Statistical Science 11(2), 183-198

 

 

​​​​​Conference Papers

 

A. Zeynal, M. Kazemi (2026). Component-Specific Shrinkage Estimation in Principal Component Regression, The 6th Natinal Congress on Mathematics and Statistics, Gonbad Kavous University, Ira

A. Zeynal, M. Kazemi (2026). A New Three-Parameter Estimator for Linear Regression under Multicollinearity, The 6th Natinal Congress on Mathematics and Statistics, Gonbad Kavous University, Ira

Amirhossein Khadivi, Mahdi Arkian, Mohammad Kazemi (2025). A Two-Stage Framework for Stable Feature Selection in HighDimensional Data Using Elastic-Net and Support Vector Machine, 6th International Conference on Soft Computing, 28-29 November 2025, University of Guilan, Iran.

Amir Zeynal, Sogand Ajdadi, Mohammad Kazemi (2025). Generalizations of the r-k class estimator to address multicollinearity, 6th International Conference on Soft Computing, 28-29 November 2025, University of Guilan, Iran.

V. Goudarzi, D. Shahsavani and M. Kazemi (2024). Robust penalized estimation using modified Huber loss function for semiparamtric regression model, 17th Iranian Statistical Conference, Aug 2024, University of Birjand, Birjand, Iran.

M. Kazemi (2024). Penalized regression for modeling high-dimensional data with group structure, 5th International Conference on Soft Computing (CSC2024), 6-7 March 2024, University of Guilan, Iran.

S. A. H. Tabatabaei, K. Rezaee, M. Kazemi (2024). Death Rate (per million) of Confirmed Patients Infected by COVID-19 in the Pandemic Period: A Continental Comparison, 5th International Conference on Soft Computing (CSC2024), 6-7 March 2024, University of Guilan, Iran.

M. Kazemi and A.H. Tabatabaei (2023). A simulation study on high-dimensional multivariate response regression, The 14th Seminar on Probability and Stochastic Processes, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran.

B. Moradi, D. Shahsavani and M. Kazemi (2023). Screening and Selection of Interaction effects, The 14th Seminar on Probability and Stochastic Processes, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran.

M. Kazemi (2022). Ultra-high dimensionality: a challenge in variable selection and classification problems, 16th Iranian Statistical Conference, 24-26 Aug 2022, University of Mazandaran, Babolsar, Iran.

M. Kazemi (2021). Robust Analysis of Time Series, 4th International Conference on Soft Computing, 29 & 30 Dec 2021, University of Guilan, Faculty of Engineering and Technology East of Guilan, Iran.

M. Kazemi (2021). Data Dimensionality Reduction using Screening, 4th International Conference on Soft Computing, 29 & 30 Dec 2021, University of Guilan, Faculty of Engineering and Technology East of Guilan, Iran.

M. Kazemi (2019). Feature Selection for Ultrahigh Dimensional Varying Coefficient Models, 3rd International Conference on Soft Computing, University of Guilan, 20 & 21 NOV 2019, University of Guilan, Faculty of Engineering and Technology East of Guilan, Iran.

M. Kazemi, D. Shahsavani and M. Arashi (2017). Group LASSO for high-dimensional partially linear errors-in variables models, Second National & First International Conference on Soft Computing, 22& 23 Nov 2017, University of Guilan, Faculty of Engineering and Technology East of Guilan, Iran.

M. Kazemi, D. Shahsavani and M. Arashi (2017). Feature screening in big data using distance correlation (In Farsi), Modern Methods in Insurance Pricing and Industrial Statistics, 3-5 September, 2017, Bu Ali Sina University, Hamedan, Iran.

M. Kazemi, M. Arashi and D. Shahsavani (2017). Gene identification using independence screening procedure, The 11th Seminar on Probability and Stochastic Processes, Aug 2017, Imam Khomeini international university, Qazvin, Iran.

M. Kazemi, D. Shahsavani and M. Arashi (2017). Solution of optimization problem for variable selection in high-dimensional data, The 10th International Conference of Iranian Operations Research Society, 3-5 May 2017, University of Mazandaran, Babolsar, Iran.

M. Kazemi (2016). On progressively type II hybrid censored generalized inverted exponential distribution, 13th Iranian Statistical Conference, 24-26 Aug 2016, Shahid Bahonar University of Kerman, Kerman, Iran.

M. Kazemi and A. Asgharzadeh (2014). Stress-strength reliability of exponential distribution based on hybrid censored samples, The 12th Iranian Statistical Conference, 25-27 August, 2014, Razi University, Kermanshah, Iran.

B. Saracoğlu, A. Asgharzadeh, M. Kazemi, İ. Kinaci andN. Akdam(2014), StatisticalInference for the Generalized Gompertz Distribution. 9th International Statistics Day Symposium ISDS 2014 (İGS 2014), 10-14 May, pp.83, 2014 , Antalya, Turkey.

M. Kazemi and A. Etemadi (2014). Monte Carlo Integration and Importance Sampling (in Farsi), The 2nd Regional conference on Mathematics And Applications, 2 October 2014, Payame Noor university, Mazandaran, Tonekabon, Iran.

 

MSc Supervision

• Parnian Meypoush, An algorithm for variable selection and interaction identification in high dimentional data, Uinversity of Guilan (2023-2025)
• Fatemeh Pourmohammadi, Generalizations of ridge regression for variable selection in multiple linear regression model, Uinversity of Guilan (2023-2025)
• Negar Shahinfar, Architecture reduction of a probabilistic neural network by merging k-means and knearest neighbor algorithms, Uinversity of Guilan (2023-2025)
• Shaghayegh Kashfi, An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic, Uinversity of Guilan (2023-2025)
• Alireza Bolandkerdar, Comparison of the performance of machine learning methods in genomic prediction: Penalized Regression, Ensemble Learning, and Deep Learning, Uinversity of Guilan (2024-present)
• Negin Haghighi, Variable selection in modelling clustered data using within-cluster resampling, Uinversity of Guilan (2024-present)
• Masoomeh Vahidi, An elastic net–based supervised feature selection algorithm for high dimensional data, Uinversity of Guilan (2024-present)
• Ali Esmattalab, Modal regression using kernel density estimation, Uinversity of Guilan (2023-present)

PhD Supervision

• Vahid Goudarzi, Estimation and variable selection for robust semi-parametric regressionmodels, Shahrood University of Technology, 2022-present (Co-Supervision).
• Mehryar Fallahnejad, A Generalization of the k2 algorithm for selecting candidate parents based on dependency criterion in penelized regression, Allameh Tabataba’iUniversity, 2023-present(Co-Supervision).
• Bahman Moradi, Interaction Identification and Selection in Linear Models, Shahrood University of Technology, 2022-present (Co-Supervision).
 

Refereed articles for journals

• Data Science in Science
• Computational Statistics
• Journal of Computational and Applied Mathematics
• IEEE Access
• Communications in Statistics – Simulation and Computation
• Communications in Statistics – Theory and Methods
• Brazilian Journal of Probability and Statistics
• Australian & New Zealand Journal of Statistics
• Computational and Mathematical Methods
• Journal of Mathematical modeling
• PLOSE ONE
• Journal of Statistical Modelling: Theory and Applications​​​
• Hacettepe Journal of Mathematics and Statistics
• Advances in Mathematical Physics
• Mathematical Problems in Engineering
• Journal of Mathematics
• Statistics, Optimization & Information Computing
• Pakistan Journal of Statistics and Operation Research
• Songklanakarin Journal of Science and Technology
• Journal of Statistical Sciences (In Farsi)

Refereed articles for conferences

 

• 1st National Conference on Soft Computing, Nov 2015, University of Guilan, Iran
• 3rd International Conference on Soft Computing, Nov 2019, University of Guilan, Iran
• 4th International Conference on Soft Computing, Dec 2021, University of Guilan, Iran