Stephen F. Austin State University - Mathematics
Doctor of Philosophy (PhD)
Statistical Sciences
Statistics
Southern Methodist University
Graduated
Master's degree
Statistics
Sam Houston State University
Stochastic Process
Design of Experiment
SAS-Statistical Consulting
Mathematical Statistics
Probability Theory
Bayesian Analyis I/II
Linear Regression
Multivariate Analysis
Spatial Analysis
Linear Algebra
Quality Control
Biostatistics
Stephen F. Austin State University
Certified Online Instructor
Microsoft Office
Bayesian statistics
Cluster Analysis
Statistical Modeling
Statistics
Principal Component Analysis
SAS
Mathematics
R
GLM
R Programming
ARIMA
Spatial Analysis
SAS programming
Minitab
MLE
Cricket
Mathematical Statistics
Tutoring Mathematics and Statistics
Mathematica
The maximum likelihood based intensity estimate for circular point processes
The maximum likelihood based intensity estimate for circular point processes
A machine learning approach to analyze ODI cricket predictors
An Application of Spatial Point Process
Archaeological excavations of a late Ice-Age (Pleistocene) site on the western slope of the Rocky Mountains in Colorado uncovered large rocks that were suspected to be the remains of a house structure. Classical statistical analyses supported this possible conclusion but could not characterize the possible shape of the structure. Analyses using Ripley’s K-function and an adaptation called the L-function confirmed the strong likelihood that the location pattern was not homogeneous across the site. Both nearby regularity and more distant clustering were identified. Circular and elliptical fits to the rock locations were compared using L-function simulation envelopes. The simulation envelopes provided strong evidence that the large rocks formed a circular pattern
suggesting that they formed the foundation of a prehistoric house structure.
Spatial point pattern identification of an apparent Ice-Age house structure
Improved tests for homogeneity of variances
Kalanka
Jayalath
PhD.
Sam Houston State University
University of Houston-Clear Lake
Stephen F. Austin State University
PepsiCo - Frito Lay
UT Southwestern Medical Center
Southern Methodist University
University of Peradeniya
Statistical consultation for engineers and food scientist. Data analysis and optimization using response surface theory
mixture models and general linear models including regression and DOE techniques mostly based on Minitab
Excel and R software.
PepsiCo - Frito Lay
Stephen F. Austin State University
Nacogdoches
TX
Assistant Professor
Brain Image Analysis using Statistical methods-Spatial Analysis \n(used R and SAS)\nDeveloped R programs for statistical inference procedures including spatial block kriging.\nAnalyzed data from split plot design experiments with SAS PROC MIXED.
Summer Intern
Dallas/Fort Worth Area
UT Southwestern Medical Center
Teaching Mathematics and Tutoring
Sam Houston State University
University of Houston-Clear Lake
Houston
Texas Area
Assistant Professor
Teaching Statistics
Leading Statistics Labs and Consulting students
Southern Methodist University
Lecturer
Teaching higher level Mathematics such as Abstract Algebra
Group Theory and Real/Complex Analysis
University of Peradeniya
American Statistical Association
Member
English
Sinhala
Dean’s Award Graduate Research Day 2012 and 2013
For outstanding research work and poster presentation in Graduate Research Day 2012 and 2013
Office of Graduate Studies
Southern Methodist University
Tom Bratcher Award
For excellence in presentation of research
COTS (Conference of Texas Statisticians) 2013
RICH Scholarship Award for Academic Excellence
For outstanding academic performance in statistical science with GPA 4.00/4.00
Sam Houston State University.
Dean’s Graduate Dissertation Fellowship
For conducting outstanding dissertation research.
Southern Methodist University
Cheuren Award for Academic Excellence
For outstanding performance Statistical theory during academic year and Basic Qualifying examination 2009-2010.
Southern Methodist University