K. Krishnamoorthy

K. Krishnamoorthy is a Professor of Statistics and holds the Philip and Jean Piccione Endowed Chair in Statistics at the University of Louisiana at Lafayette's Department of Mathematics. His expertise spans multivariate statistics, statistical tolerance regions, censored data analysis, and occupational exposure assessment. He has contributed extensively to methodologies for lognormal distributions, small sample inference, and calibration techniques. His research addresses challenges in environmental and occupational health data analysis, including exposure monitoring and statistical validation of sampling devices.

Education: Ph.D. in Statistics from Indian Institute of Technology-Kanpur (1985). He has supervised over 25 Ph.D. students, many now in academic and industry roles. Notable contributions include the development of statistical tolerance regions, methodologies for data with non-detects, and software tools like StatCalc for distributional computations.

Grants and Projects: Principal investigator on multiple NIOSH-funded projects (R01-OH03628 series) totaling over $2.6M, focusing on statistical methodologies for occupational exposure assessment. These include studies on lognormal distributions, equivalence testing of sampling devices, and imputation techniques for non-detect data.

Publications: Over 200 peer-reviewed articles in journals like *Journal of Statistical Planning and Inference*, *Technometrics*, and *Annals of Occupational Hygiene*. Authored/co-authored three books, including *Handbook of Statistical Distributions with Applications* (CRC Press) and *Statistical Tolerance Regions* (Wiley).

Labs/Teams: Leads the statistical methodologies group at UL Lafayette, collaborating with occupational hygienists and environmental scientists. Developed open-source Fortran/R programs for statistical inference in specialized distributions.