Projects 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 (www.asa.org)
Institute of Mathematical Statistics (www.imstat.org)
Institute of Applied Statistics Sri Lanka (www.iappstat.lk)
Data Science Association
Education/Academic qualification
Master of Science, Master
Doctor of Philosophy, doctorate, University of Georgia
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Collaborations and top research areas from the last five years
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Early Detection of Alzheimer's Disease-Related Pathology Using a Multi-Disease Diagnostic Platform Employing Autoantibodies as Blood-Based Biomarkers
Demarshall, C. A., Viviano, J., Emrani, S., Thayasivam, U., Godsey, G. A., Sarkar, A., Belinka, B., Libon, D. J. & Nagele, R. G., 2023, In: Journal of Alzheimer's Disease. 92, 3, p. 1077-1091 15 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
Water sorptivity prediction model for concrete with all coarse recycled concrete aggregates
Aragoncillo, A. M., Cleary, D., Thayasivam, U. & Lomboy, G., Aug 29 2023, In: Construction and Building Materials. 394, 132128.Research output: Contribution to journal › Article › peer-review
14 Scopus citations -
Schizotypy, lifestyle behaviors, and health indicators in a young adult sample
Dinzeo, T. J. & Thayasivam, U., Dec 2021, In: Behavioral Sciences. 11, 12, 179.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
Accuracy of clustering prediction of PAM and K-modes algorithms
Dixon, M. G., Genov, S., Hnatyshin, V. & Thayasivam, U., 2019, Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Bhatia, R., Arai, K. & Kapoor, S. (eds.). Springer Verlag, p. 330-345 16 p. (Advances in Intelligent Systems and Computing; vol. 886).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations -
A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels
Ranchagoda, N. H., Kandeepan, S., Ding, M., Thayasivam, U. & Gomez, K. M., Jul 2 2018, 2018 IEEE International Conference on Communication Systems, ICCS 2018. Institute of Electrical and Electronics Engineers Inc., p. 173-179 7 p. 8689199. (2018 IEEE International Conference on Communication Systems, ICCS 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
5 Scopus citations