Umashanger Thayasivam

Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

Personal profile

Research interests

Research Expertise: 
Data Mining and Statistical Learning | Robust Estimation | Bayesian Statistics

We are pursuing several lines of research to identify and validate the use of statistical learning/data mining methods with multidisciplinary data. 

Projects include:
Biomarker discovery for neurogenerative diseases

Peak detection with maximum entropy principal

Clustering mix attributes – network security

Spoof detection and Speaker identification/verification in biometrics

Assessing robust methods for analyzing multivariate data Telemedicine/Telehealth statistical learning

Member of:
American Statistical Association (
Institute of Mathematical Statistics (
Institute of Applied Statistics Sri Lanka (
Data Science Association

Education/Academic qualification

Master of Science, Master

Doctor of Philosophy, doctorate, University of Georgia


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