Biography
I am an applied statistician. My research focuses on time series analysis and forecasting, copula-based dependence modeling, discrete choice modeling, spatial and spatio-temporal data analysis, and quantitative analysis of criminal justice data. Prior to joining Clarkson University, I worked as a Data Scientist in the Department of Research and Statistics at the Supreme Court of Pennsylvania, where I contributed to statistical research, data analysis, and reporting on Pennsylvania court data.
Education Background
Computational Mathematics and Statistics Ph.D.- Old Dominion University, 2023
Statistics M.S. - Sam Houston State University, 2018
Financial Mathematics M.Sc. - University of Colombo, Sri Lanka, 2014
Statistics B.Sc. - University of Kelaniya, Sri Lanka, 2009
Courses Taught
- STAT 383 - Probability and Statistics
- STAT 488 - Statistics Projects
Research Interests
- Time Series Analysis and Forecasting
- Discrete Choice Modeling and Behavioral Prediction
- Spatial and Spatio-Temporal Data Analysis
- Quantitative Analysis of Criminal Justice Data
Awards
- Boyd Harshburger Travel Award, Southern Regional Council on Statistics (SRCOS), 2022
- Best Student Teaching Assistant in Statistics, Sam Houston State University, 2018
- Special Graduate Scholarship, Department of Mathematics and Statistics, Sam Houston State University, 2017-2018
Publications
- 2025 - H. A. Jeng, N. Diawara, N. Welch, N. Jackson, R. Singh, K. Curtis, R. Gonzalez, D. Jurgens, and S. Adikari. "Forecasting COVID-19 cases, hospital admissions, and deaths based on wastewater SARS-CoV-2 surveillance using Gaussian copula time series marginal regression model." COVID, 5(2), 25.
- 2024 - S. Adikari, N. Diawara, and H. Bar. "The geometry of dynamic time-dependent best-worst choice pairs." Axioms, 13(9), 641.
- 2024 - S. Adikari and N. Diawara. "Utility in time description in priority best-worst discrete choice models: An empirical evaluation using Flynn's data." Stats, 7(1), 185-202.
- 2023 - H. A. Jeng, R. Singh, N. Diawara, K. Curtis, R. Gonzalez, N. Welch, N. Jackson, D. Jurgens, and S. Adikari. "Application of wastewater-based surveillance and copula time-series model for COVID-19 forecasts." Science of the Total Environment, 885, 163655.
- 2023 - N. Diawara, H. A. Jeng, K. Curtis, R. Gonzalez, N. Welch, N. Jackson, R. Singh, D. Jurgens, S. Adikari, and O. Jegede. "Poisson regression model with application to wastewater surveillance under a threshold linear mixed model for COVID-19 sensitivity rates." American Journal of Biomedical Science & Research, 20(2).