• PhD in Statistics (Peradeniya, Sri Lanka) [2021]

• BSc (Hons) in Applied Mathematics & Computing (Jaffna, Sri Lanka)[2010]

• Statistical Inference

• Regression Analysis

• Sampling Techniques

• Parameter estimation in the linear regression model

• Consequences of the misspecified linear regression model

• Improved estimation in the high dimensional linear regression model

Peer-reviewed Journal articles

• Kayathiri, T., Kayanan, M., & Wijekoon, P. (2025). Stochastic Restricted Modified Mixed Logistic Estimator. Austrian Journal of Statistics, 54(4): 59-81. 

• Kayanan, M., & Wijekoon, P. (2024). Improved LARS Algorithm for Adaptive LASSO in the Linear Regression Model. Asian Journal of Probability and Statistics, 26(7): 86-95. 

• Kayanan, M., & Wijekoon, P. (2022). Generalized Stochastic Restricted LARS Algorithm. Ruhuna Journal of Science, 13(1): 14-28.   

• Kayanan, M., & Wijekoon, P. (2020). Stochastic Restricted LASSO-Type Estimator in the Linear Regression Model. Journal of Probability and Statistics.   

• Kayanan, M., & Wijekoon, P. (2020). Variable Selection via Biased Estimators in the Linear Regression Model. Open Journal of Statistics, 10(01): 113-126.  

• Kayanan, M., & Wijekoon, P. (2019). Performance of LASSO and Elastic net estimators in Misspecified Linear Regression Model. Ceylon Journal of Science, 48(3): 293–299.

• Kayanan, M., & Wijekoon, P. (2019). Optimal estimators in misspecified linear regression model with an application to real-world data, Communications in Statistics: Case Studies, Data Analysis and Applications, 4(3-4): 151-163.

• Kayanan, M., & Wijekoon, P. (2018). Stochastic Restricted Biased Estimators in misspecified regression model with incomplete prior information. Journal of Probability and Statistics.

• Kayanan, M., & Wijekoon, P. (2017). Performance of Existing Biased Estimators and the respective Predictors in a Misspecified Linear Regression Model. Open Journal of Statistics, 7(05): 876-900.

Conference papers

• Tharsika, I., Kayanan, M. & Yogarajah, B. (2025). PERFORMANCE OF MODIFIED LOGISTIC REGRESSION ALGORITHM IN CLASSIFICATION. 3rd International Conference on Multidisciplinary Research (ICMR 2025), Eastern University, Sri Lanka and Sri Sathya Sai University for Human Excellence, India.

• Kayathiri, T., Kayanan, M., & Wijekoon, P. (2024). Enhancing Predictive Performance of the Logistic Two-Parameter Estimator under Multicollinearity. Proceedings of the International Statistics Conference 2024 (ISC 2024), Colombo, Sri Lanka.

• Kayathiri, T., Kayanan, M., & Wijekoon, P. (2023). COMPARISON OF THE PREDICTIVE PERFORMANCE OF LIU-BASED ESTIMATORS. PGIS Research Congress 2023, PGIS, University of Peradeniya, Sri Lanka. 

• Tharsika, I., Kayanan M., & Yogarajah, B. (2023). An Improved Algorithm for Logistic Regression in Classification. Fourth Faculty Annual Research Session 2023 (FARS2023), Faculty of Applied Science, University of Vavuniya, Sri Lanka

• Kayanan, M., & Wijekoon, P. (2020). Multiclass Classification Approach to Identify the Stage of Autism Spectrum Disorder. International Conference on Environmental and Medical Statistics, University of Peradeniya, Sri Lanka.

• Kayanan, M., & Wijekoon, P. (2019). Restricted Least Angle Regression Algorithm for LASSO. PGIS Research Congress 2019, PGIS, University of Peradeniya, Sri Lanka. 

• Kayanan, M., & Wijekoon, P. (2019). Combining Lasso and Liu type estimator in the linear regression model. 62nd ISI World Statistics Congress. Kuala Lumpur, Malaysia.

• Kayanan, M., & Wijekoon, P. (2018). Mean square error comparison between Ridge and LASSO estimators in the misspecified linear regression model. PGIS Research Congress 2018, PGIS, University of Peradeniya, Sri Lanka.

• Kayanan, M., & Wijekoon, P. (2017). Modified Stochastic Restricted Ridge Estimator in Misspecified Linear Regression Model. International Statistics Conference 2017.  Institute of Applied Statistics, Sri Lanka.

• Kayanan, M., & Wijekoon, P. (2017).  Comparison between r-d and r-k class estimators in misspecified linear regression model. PGIS Research Congress 2017, PGIS, University of Peradeniya , Sri Lanka.

• Kayanan, M., & Kuhanesan, S. (2016). The knowledge gathering and study pattern of undergraduate students of the Vavuniya Campus of the University Of Jaffna. Sixth International Symposium. South Eastern University of Sri Lanka

• Kayanan, M., & Kanaganathan, S. (2013). Sparse MatrixVector multiplication using parallel algorithm with block striped partitioning. Third International Symposium. South Eastern University of Sri Lanka. 

• Dean, Faculty of Applied Science, University of Vavuniya, June 2025 to Date 

• Head, Department of Physical Science, University of Vavuniya, July 2024 to June 2025

• Proctor, University of Vavuniya, December 2022 to June 2024

• Editor-in-Chief, Vavuniya Journal of Science, January 2022 to April 2025 

• Chairman, Sports Advisory Board, University of Vavuniya, November 2021 to December 2024

• Secretary, Vavuniya University Teachers' Association (VUTA), University of Vavuniya, April 2022 to June 2023

• Member, Standing Committee of the Senate on Centre for Quality Assurance (CQA), University of Vavuniya, December 2021 to December 2022

• Member, Library Committee, University of Vavuniya, January 2022 to July 2024 

• Convener, The second Faculty Annual Research Session of Faculty of Applied Science, University of Vavuniya (FARS 2021)

• Chairman, Management Information System Committee, Faculty of Applied Science, University of Vavuniya, August 2021 to August 2023

• Member, Land and Building Management Committee, Faculty of Applied Science, University of Vavuniya, August 2020 to August 2023

Resource Person

• Training programme on “Efficient use of IT tools for preparing Academic Write-up, Research papers, Dissertation and Thesis” for the academic staff members and fourth-year students of the Vavuniya Campus organized by IT Centre, Vavuniya Campus of the University of Jaffna, August 06 & 13, 2014.

Workshop Attended

• Workshop on Scientific Writing organized by PGIS, 25-26 November 2017.

• Workshop on Time Series Analysis in Data Science organized by the board of study in statistics and computer science of the PGIS and international society for business and industrial statistics (ISBIS), 20-22 December 2017.

Professional memberships

• Member – International Statistical Institute

• Member – Institute of Mathematical Statistics

• Visiting Lecturer (2015-2016), Open University of Sri Lanka, Vavuniya Regional Centre

• Assistant Lecturer (On contract) (2012-2013), Department of Physical Science, Faculty of Applied Science, Vavuniya Campus of the University of Jaffna

• Tutor (On contract) (2010-2012), Department of Physical Science, Faculty of Applied Science, Vavuniya Campus of the University of Jaffna

Scholarships and Research Grants

• ERASMUS+ Scholarship – Awarded under the International Credit Mobility Program of Sri Lanka to carry out four-month research as part of the PhD at the University of Brescia, Italy (01/04/2017 – 31/07/2017).

Official Address

Department of Physical Science,

Faculty of Applied Science,

University of Vavuniya ,

Vavuniya, Sri Lanka.

https://fas.vau.ac.lk/dps/?staff=mr-m-kayanan 

Email Addresses

kayanan@vau.ac.lk

mgayanan@gmail.com